Get live statistics and analysis of Jared L Kubin 's profile on X / Twitter Jared L Kubin @JaredKubin Hedge Fund Founder. Dad. HBS .šā¾ļøEphesians 6:11. No One is Coming. Die Empty. Viking. War Horse. Whatever it Takes.Everything is a Test.*NOT INVESTMENT ADVICE*
4k following 20k followers
Archetype analysis The Achiever Jared L Kubin is a driven hedge fund founder and proud dad with a passion for no-nonsense real talk and deep, meaningful connections. He's a seasoned grinder who shares wisdom from his Harvard Business School days and life-tested insights on discipline, resilience, and personal growth. Jaredās tweets blend entrepreneurial hustle with heartfelt reflections on life, purpose, and community.
š„ Roast For someone who swears by ādie emptyā and āwhatever it takes,ā Jared might want to take a break from building empiresāmaybe during one of those 5-hour Peloton rides he mentioned, so he doesnāt accidentally turn into a spreadsheet cyborg before his coffee kicks in.
ā”ļø Nice achievement Amassing over 1.8 million views on a tweet dissecting the challenges of modern connection shows Jaredās rare ability to resonate with a vast audience hungry for real talk and actionable wisdom.
š Life's purpose To inspire others to build real, lasting value through relentless effort, personal responsibility, and authentic connectionāhelping his audience push past instant gratification to achieve deeper fulfillment and mastery.
š¬ Values and Beliefs Jared believes that nothing worthwhile comes easy or instantly; success and meaningful relationships require investment, patience, and showing up consistently. He values discipline, hard work, intellectual curiosity, and the courage to ādie emptyā by giving everything he has to his craft and family.
šŖ Strength Masterful self-learner, relentless in pursuit of deep expertise, and a compelling voice reminding people to invest in real-life struggles over superficial social media dopamine hits.
š«£ Weakness His high standards and intensity might alienate those craving quick wins or easy comfort; sometimes his deep dives can feel a tad too serious in a fast-paced digital world.
ā”ļø Growth audience tips To grow on X, Jared should mix his profound insights with more engaging, bite-sized nuggets and interactive content like polls or Q&A that invite his audience to share their own āwhatever it takesā storiesābuilding his community through connection, not just broadcasting.
š Bonus Jared has completed an intense hiring process involving debates and psychological assessments, showing his competitive edge and intellectual rigor ā plus heās done 5 hours on a Peloton session, proving dedication isnāt limited to finance!
Top tweets of Jared L KubinWe need to talk about whatās happening to an entire generationā¦. Iām worried for my kids (this novel below can be for entrepreneurs / investors / or young women)
That girl crying because she āfelt nothingā on a perfectly good date? Sheās not broken. Sheās been rewired.
We live in an instant gratification society thatās completely divorced from how life actually works:
Want food? Uber it. 30 minutes.
Want entertainment? Netflix it. Instant.
Want a date? Swipe it. Endless options.
Want dopamine? Scroll it. Non-stop hits.
Even want a dog playdate? Thereās an app for that.
Everything worth having can be summoned with a tapā¦EXCEPT THINGS THAT ACTUALLY MATTER
You canāt app your way into a meaningful relationship. You canāt one click a sense of belonging. You canāt Amazon Prime a purpose.
But your brain doesnāt know that anymore. Social media has hijacked your reward system. Every scroll gives you a tiny dopamine hitā¦new face, new drama, new possibility. Your brain now expects relationships to feel like infinite scroll: effortless stimulation, zero investment, next option one swipe away.
Real human connection doesnāt work like that. Itās slow. Itās awkward at first. It requires investment before you see returns. Real connection is built through:
Shared struggle + Shared purpose (serving at church, volunteering, building something) + Shared presence (showing up when itās boring, when itās hard, when thereās no audience)
The āsparkā youāre waiting for? Itās not supposed to strike like lightning. Itās supposed to be builtā¦through consistency, vulnerability, and time. But youāll never feel it if your brain is constantly comparing real life to the highlight reel, the algorithm, the fantasy.
Build slow, build real. Friendships that last decades start boring. Relationships that endure start imperfect. Community requires showing up on Tuesday nights when youād rather be home.
Real life wants you present, connected, and building.
Choose accordingly.
RENTECH Saturday Morning project: October lessons?
RIEF *ALLEGEDLY* just posted a -15% drawdown in two weeks (Oct 2025). For context, this is the firm thatās basically *the* gold standard in quant investing. My thought project this early morning is to piece together what happenedā¦because if RenTechās models break, that tells us something IMPORTANT about markets right now.
*I found these attachments on the internet someone loaded up⦠could be made up or wrong. Letās assume they are rightā¦
RIEF runs ~$20B, supposedly factor neutral, market neutral-ish, with 2.5x leverage. The strategy is automated statistical arbitrage across thousands of long/short positions. Beta target of 0.4 or lower. These guys donāt blow up. So what changed?
Hereās where it gets interesting. In Feb 2023, they modified their strategy. Old target: net $100 long per $100 equity. New target: āNOT be greater than $100 net long⦠but with NO OBJECTIVE that it not be less.ā
Waitā¦.they removed the floor? Thatās a massive shift. It allows them to go net short or significantly reduce market exposure.
Looking at their factor exposure analysis (stress testing docs), something jumps out: theyāre NOT actually factor neutral. The āManager Style Driftā chart shows S&P 500 exposure went from ~0 to 3+ sigma starting around 2020. Thatās⦠not neutral.
During COVID-19 (Mar 2020), they had:
- +2.21 S&P 500 exposure
- -1.78 MSCI North America
- Negative VIX exposure
- Small cap and value growth tilts
These exposures are contradictory and suggest hidden factor bets that maybe even *they* didnāt fully recognize in their risk model. ORā¦. Models now take them on in short term alpha trades.
The correlation stress testing chart (bottom right in the docs) is particularly revealing. It shows correlations increase dramatically during stress periods meaning their hedges fail precisely when needed most. Classic quant nightmare. OR they are specifically taking on tilts.
So hereās my working theory on October 2025:
After Feb 2023, they likely used their new flexibility to reduce net long exposure (or even go short). If you follow LIQUIDATION NATION it has been a factor bloodbath and historical moves⦠they could be:
1. Underexposed to upside on longs
1. Getting squeezed on shorts
1. Watching āneutralā factors suddenly correlate
With 2.5x leverage, even a -6% strategy loss becomes -15%.
Alt #2: This was a crowded trade unwind. If other quant funds were positioned similarly, forced liquidations could cascade. Market microstructure breaks down, liquidity evaporates, execution slippage compounds losses.
Alt #3: They are running lower leverage and taking on FACTOR TIMING (how I think about the world.. maybe I am cope lol).
Alt #4: Some option trade went haywire
Whatās fascinating⦠is their models apparently didnāt see this coming. These are arguably the most sophisticated predictive models in finance, built by some of the smartest people in the world, with 30+ years of data and refinement.
Yet something in October 2025ās market structure was fundamentally different from their training data.
Questions Iām still thinking about:
- Was this a regime change moment where historical factor relationships broke?
- Did their factor definitions drift from market reality?
- Was the Feb 2023 strategy change a mistake in hindsight?
- Or was this just an unlucky tail event that any model would miss?
The humbling thing: if RenTechās models battle tested through multiple crashes, with the deepest talent pool in quantā¦.can get caught like this, what does that say about model risk more broadly?
Iām not trying to criticizeā¦genuinely trying to learn. When the best models fail, thereās usually a deep lesson about markets, risk, or regime change embedded in there.
Would love to hear thoughts from other quant folks. What am I missing?
Most engaged tweets of Jared L KubinWe need to talk about whatās happening to an entire generationā¦. Iām worried for my kids (this novel below can be for entrepreneurs / investors / or young women)
That girl crying because she āfelt nothingā on a perfectly good date? Sheās not broken. Sheās been rewired.
We live in an instant gratification society thatās completely divorced from how life actually works:
Want food? Uber it. 30 minutes.
Want entertainment? Netflix it. Instant.
Want a date? Swipe it. Endless options.
Want dopamine? Scroll it. Non-stop hits.
Even want a dog playdate? Thereās an app for that.
Everything worth having can be summoned with a tapā¦EXCEPT THINGS THAT ACTUALLY MATTER
You canāt app your way into a meaningful relationship. You canāt one click a sense of belonging. You canāt Amazon Prime a purpose.
But your brain doesnāt know that anymore. Social media has hijacked your reward system. Every scroll gives you a tiny dopamine hitā¦new face, new drama, new possibility. Your brain now expects relationships to feel like infinite scroll: effortless stimulation, zero investment, next option one swipe away.
Real human connection doesnāt work like that. Itās slow. Itās awkward at first. It requires investment before you see returns. Real connection is built through:
Shared struggle + Shared purpose (serving at church, volunteering, building something) + Shared presence (showing up when itās boring, when itās hard, when thereās no audience)
The āsparkā youāre waiting for? Itās not supposed to strike like lightning. Itās supposed to be builtā¦through consistency, vulnerability, and time. But youāll never feel it if your brain is constantly comparing real life to the highlight reel, the algorithm, the fantasy.
Build slow, build real. Friendships that last decades start boring. Relationships that endure start imperfect. Community requires showing up on Tuesday nights when youād rather be home.
Real life wants you present, connected, and building.
Choose accordingly.
RENTECH Saturday Morning project: October lessons?
RIEF *ALLEGEDLY* just posted a -15% drawdown in two weeks (Oct 2025). For context, this is the firm thatās basically *the* gold standard in quant investing. My thought project this early morning is to piece together what happenedā¦because if RenTechās models break, that tells us something IMPORTANT about markets right now.
*I found these attachments on the internet someone loaded up⦠could be made up or wrong. Letās assume they are rightā¦
RIEF runs ~$20B, supposedly factor neutral, market neutral-ish, with 2.5x leverage. The strategy is automated statistical arbitrage across thousands of long/short positions. Beta target of 0.4 or lower. These guys donāt blow up. So what changed?
Hereās where it gets interesting. In Feb 2023, they modified their strategy. Old target: net $100 long per $100 equity. New target: āNOT be greater than $100 net long⦠but with NO OBJECTIVE that it not be less.ā
Waitā¦.they removed the floor? Thatās a massive shift. It allows them to go net short or significantly reduce market exposure.
Looking at their factor exposure analysis (stress testing docs), something jumps out: theyāre NOT actually factor neutral. The āManager Style Driftā chart shows S&P 500 exposure went from ~0 to 3+ sigma starting around 2020. Thatās⦠not neutral.
During COVID-19 (Mar 2020), they had:
- +2.21 S&P 500 exposure
- -1.78 MSCI North America
- Negative VIX exposure
- Small cap and value growth tilts
These exposures are contradictory and suggest hidden factor bets that maybe even *they* didnāt fully recognize in their risk model. ORā¦. Models now take them on in short term alpha trades.
The correlation stress testing chart (bottom right in the docs) is particularly revealing. It shows correlations increase dramatically during stress periods meaning their hedges fail precisely when needed most. Classic quant nightmare. OR they are specifically taking on tilts.
So hereās my working theory on October 2025:
After Feb 2023, they likely used their new flexibility to reduce net long exposure (or even go short). If you follow LIQUIDATION NATION it has been a factor bloodbath and historical moves⦠they could be:
1. Underexposed to upside on longs
1. Getting squeezed on shorts
1. Watching āneutralā factors suddenly correlate
With 2.5x leverage, even a -6% strategy loss becomes -15%.
Alt #2: This was a crowded trade unwind. If other quant funds were positioned similarly, forced liquidations could cascade. Market microstructure breaks down, liquidity evaporates, execution slippage compounds losses.
Alt #3: They are running lower leverage and taking on FACTOR TIMING (how I think about the world.. maybe I am cope lol).
Alt #4: Some option trade went haywire
Whatās fascinating⦠is their models apparently didnāt see this coming. These are arguably the most sophisticated predictive models in finance, built by some of the smartest people in the world, with 30+ years of data and refinement.
Yet something in October 2025ās market structure was fundamentally different from their training data.
Questions Iām still thinking about:
- Was this a regime change moment where historical factor relationships broke?
- Did their factor definitions drift from market reality?
- Was the Feb 2023 strategy change a mistake in hindsight?
- Or was this just an unlucky tail event that any model would miss?
The humbling thing: if RenTechās models battle tested through multiple crashes, with the deepest talent pool in quantā¦.can get caught like this, what does that say about model risk more broadly?
Iām not trying to criticizeā¦genuinely trying to learn. When the best models fail, thereās usually a deep lesson about markets, risk, or regime change embedded in there.
Would love to hear thoughts from other quant folks. What am I missing?
People with Achiever archetype The Achiever BunburyÅdÅ (ęę¦äø”é) (Bun) @bunburyoudoujp British martial artist and ultrarunner. In Japan since 2006. #Karate #Iaid Å #Running . šÆšµš¬š§. Opinions are my own. äøååæ. 100 mile runner
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å端å¼åå”ęē±³ ļ½åøåčéčš„¬ļ½#ēÆå”ļ½#čéøä¼ļ½#Binance
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容äøåęčµå»ŗč®® #DYOR
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The Achiever Rd | Family Guy's Journey to FI @familyguyfi My name is Rd.
Sharing my Journey to financial independence
šØāš©āš§āš¦ Family Guy
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š® Gaming with my kid
386 following 716 followers
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This is my 3rd time through it and learn something unique each time. Good luck out there. https://t.co/c56Dmb55gW","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979312278907555891","quoted_status_permalink":{"url":"https://t.co/xeIOJHaJCa","expanded":"https://twitter.com/hesamation/status/1979312278907555891","display":"x.com/hesamation/staā¦"},"retweeted":false,"fact_check":null,"id":"1979922897587122309","view_count":367900,"bookmark_count":2185,"created_at":1760885378000,"favorite_count":2590,"quote_count":2,"reply_count":29,"retweet_count":190,"user_id_str":"129401455","conversation_id_str":"1979922897587122309","full_text":"Most people donāt realize you can JUST DO THINGS. This is always my message to college / young professionals. \n\nHow I learn everything is by building it. When I got into HBS they made me take a āpreā class on finance. I was an entrepreneur⦠I didnāt understand excel or what a DCF was (glad that was the only place to use it). I was literally doing math on graph paper and in an IDE window for more complex stuff. \n\nI took my whole first year to teach myself banking and PE 101. Literally learned how to build models from Kās / Qās. Fast? No. Efficient like a class? Def not. But gave me a deep mastery of financials. Building blocks for later in life. \n\nThe point is ⦠donāt underestimate what you can DO. You want to learn something? Build it. Now with LLMs there is no reason you donāt build first. Master later.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,18],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987145320703414335","quoted_status_permalink":{"url":"https://t.co/dxwexJaIVR","expanded":"https://twitter.com/chefsevenn/status/1987145320703414335","display":"x.com/chefsevenn/staā¦"},"retweeted":false,"fact_check":null,"id":"1987232687904506354","view_count":77388,"bookmark_count":18,"created_at":1762628168000,"favorite_count":1469,"quote_count":3,"reply_count":24,"retweet_count":9,"user_id_str":"129401455","conversation_id_str":"1987232687904506354","full_text":"5 hrs on a peloton","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979396139343622255","quoted_status_permalink":{"url":"https://t.co/NxRS4QeQMB","expanded":"https://twitter.com/lootdropcapital/status/1979396139343622255","display":"x.com/lootdropcapitaā¦"},"retweeted":false,"fact_check":null,"id":"1979502392677646532","view_count":802598,"bookmark_count":578,"created_at":1760785122000,"favorite_count":1067,"quote_count":10,"reply_count":37,"retweet_count":33,"user_id_str":"129401455","conversation_id_str":"1979502392677646532","full_text":"I did 3 rounds of interviews with BW. 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SPACs are rising from the graveyard. AI spec energy plays are +1000%. Once laughed at āfuture revenue metricsā are moving mega caps $100s of billions in a day. My timeline is full of 8 figure levered retail screenshots. The casino is open, chips feel free, and the crowd thinks they cannot lose. This is what a blow off top feels like in real time.\n\nModern Portfolio Theory is dead. The textbooks are lit on fire. Comps are irrelevant. Those clinging to P/E ratios and hiding in QUALITY already got destroyed in the first vol shock / rebound of 2025. TRUMP COIN was a PUMP then a crush to leave the bag holders down -75%. VIBE is now king. Liquidity married with vibes and leverage is one hell of a cocktail. Liquidity married with societyās obsession to get rich quick is a deadly drug. \n\nWe are in a wild epidemic. Hubris and invincibility are spreading faster than any virus. Hubris 2.0 is not being staticā¦Hubris 2.0 is believing the rules no longer apply. That this ācycle is differentā. That risk management is optional. Curiosity is not optional anymore. It is survival.\n\nWhy are markets moving faster and with more violence? Because SPEC CLUSTERS are behaving like VOL clusters. YOU THINK HFs are not trading these things?! Algos and quants treat high vol monsters as their Super Bowl! Consumer behavior is hyper online with bets on everything from Fed decisions to idiotic fasting stunts ( then rug pull). Competition is fiercer than ever with retail armies armed with zero commission apps and real time sentiment feeds. Anyone who ignored the call for radical reprogramming is paying the price.\n\nCycles are just going to get more VIOLENT. Volatility spiked in Q1 2025 then crushed in the summer. Longs were rewarded if they pivoted into theme rotations. Shorts barely survived. The opportunity cost of being wrong has never been higher. Wrong now does not sting. Wrong now obliterates.\n\nMY three truths have been tested in chaos and hold. ONE: Variant views are your edge. Investors who paired early insight on speculative tech with regulatory shifts captured explosive upside. If you do not have a variant view you should stay in ETFs. TWO: Changes in volatility are the alpha map. Following the vol worked. Pair your variants with vol expansions and you navigated euphoria without implosion. THREE: Always manage risk. This is the most important. When probabilities flipped mid year after policy shocks and coordinated messaging those who adjusted sizing survived.\n\nRisk is not a spreadsheet. Risk is survival. One liquidity drain one regulatory rug one Fed whisper and the easy money crowd is extinct. Remember how ZERO DAY gave you explosive upside, it also works to the downside⦠we just havenāt seen it yet because these weapons are brand new. Just wait. \n\nhttps://t.co/khqSSHpdHx peaked at $300m market cap haha! Sure this can go on longer, but Greed is crystallizing right here right now. Friends are aping into zero day options because they feel cheap and ācanāt loseā. Substack gurus are selling easy alpha systems. Levered speculative tech bets are leading to more launches and more risk blindness. Pain is magnified by emotional FOMO. Resist the whispers that tell you to lever up because everyone else is. Do the work. Build variant views on real technology shifts. Manage risk with dynamic stops and position sizing. Take your shots when your views and vol align. Do not wait for perfect confirmation. IGNORE shortcuts. IGNORE the easy button. Both euphoric bull runs and brutal bear crushes are goldmines if you are prepared.\n\nThe edge for the next twelve months is dynamic humility. Build variant views faster. Track volatility clusters religiously. Size dynamically. 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Preparation starts years before. Be likable. And most importantly⦠never give up.\n\nSTEP 1: I was working for a guy in NYC during the summer between year 1 & 2 at HBS. He spun out of GSS and started a PE firm⦠my job was to explain to LPs why money losing businesses like software and some alarm contract companies had great economics long term. This was 2012 when most people very skeptical of SaaS. This was right in my wheelhouse being a software entrepreneur before school. While I was in NYC I networked hard. MOST ignored me. I finally find a nice woman at SAC ⦠I bothered her soooo much she finally agreed to a coffee. No idea what she didā¦turned out she ran their TMT bus dev. We hit it off and she put me into their applicant pool for teams / PMs to review. Win. \n\nLesson: @pmarca was right on with the networking advice. If you canāt network your way to where you need to be⦠how can you be successful? 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For context, this is the firm thatās basically *the* gold standard in quant investing. My thought project this early morning is to piece together what happenedā¦because if RenTechās models break, that tells us something IMPORTANT about markets right now.\n\n*I found these attachments on the internet someone loaded up⦠could be made up or wrong. Letās assume they are rightā¦\n\nRIEF runs ~$20B, supposedly factor neutral, market neutral-ish, with 2.5x leverage. The strategy is automated statistical arbitrage across thousands of long/short positions. Beta target of 0.4 or lower. These guys donāt blow up. So what changed?\n\nHereās where it gets interesting. In Feb 2023, they modified their strategy. Old target: net $100 long per $100 equity. New target: āNOT be greater than $100 net long⦠but with NO OBJECTIVE that it not be less.ā\n\nWaitā¦.they removed the floor? Thatās a massive shift. It allows them to go net short or significantly reduce market exposure.\n\nLooking at their factor exposure analysis (stress testing docs), something jumps out: theyāre NOT actually factor neutral. The āManager Style Driftā chart shows S&P 500 exposure went from ~0 to 3+ sigma starting around 2020. Thatās⦠not neutral.\n\nDuring COVID-19 (Mar 2020), they had:\n\n- +2.21 S&P 500 exposure\n- -1.78 MSCI North America\n- Negative VIX exposure\n- Small cap and value growth tilts\n\nThese exposures are contradictory and suggest hidden factor bets that maybe even *they* didnāt fully recognize in their risk model. ORā¦. Models now take them on in short term alpha trades. \n\nThe correlation stress testing chart (bottom right in the docs) is particularly revealing. It shows correlations increase dramatically during stress periods meaning their hedges fail precisely when needed most. Classic quant nightmare. OR they are specifically taking on tilts. \n\nSo hereās my working theory on October 2025:\n\nAfter Feb 2023, they likely used their new flexibility to reduce net long exposure (or even go short). If you follow LIQUIDATION NATION it has been a factor bloodbath and historical moves⦠they could be:\n\n1. Underexposed to upside on longs\n1. Getting squeezed on shorts\n1. Watching āneutralā factors suddenly correlate\n\nWith 2.5x leverage, even a -6% strategy loss becomes -15%.\n\nAlt #2: This was a crowded trade unwind. If other quant funds were positioned similarly, forced liquidations could cascade. Market microstructure breaks down, liquidity evaporates, execution slippage compounds losses.\n\nAlt #3: They are running lower leverage and taking on FACTOR TIMING (how I think about the world.. maybe I am cope lol). \n\nAlt #4: Some option trade went haywire \n\nWhatās fascinating⦠is their models apparently didnāt see this coming. These are arguably the most sophisticated predictive models in finance, built by some of the smartest people in the world, with 30+ years of data and refinement.\n\nYet something in October 2025ās market structure was fundamentally different from their training data.\n\nQuestions Iām still thinking about:\n\n- Was this a regime change moment where historical factor relationships broke?\n- Did their factor definitions drift from market reality?\n- Was the Feb 2023 strategy change a mistake in hindsight?\n- Or was this just an unlucky tail event that any model would miss?\n\nThe humbling thing: if RenTechās models battle tested through multiple crashes, with the deepest talent pool in quantā¦.can get caught like this, what does that say about model risk more broadly?\n\nIām not trying to criticizeā¦genuinely trying to learn. When the best models fail, thereās usually a deep lesson about markets, risk, or regime change embedded in there.\n\nWould love to hear thoughts from other quant folks. What am I missing?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1860353580244348934","quoted_status_permalink":{"url":"https://t.co/v5MNDyErUX","expanded":"https://twitter.com/restructuring__/status/1860353580244348934","display":"x.com/restructuring_ā¦"},"retweeted":false,"fact_check":null,"id":"1860438317638008947","view_count":72758,"bookmark_count":248,"created_at":1732398034000,"favorite_count":273,"quote_count":3,"reply_count":17,"retweet_count":16,"user_id_str":"129401455","conversation_id_str":"1860438317638008947","full_text":"I donāt have the answers just my experience. \n\nAt HBS there was a saying⦠you can be a Baker Scholar, network for a job, or spend 2 years doing all the social treks with your section. You could only pick 1.5 of them. I feel work is much like this. \n\nEarly on you need to just grind. Itās about learning, being a sponge and giving yourself optionality for later in life. I didnāt even know what a hedge fund was. \n\nAs you settle into your career you will need to make trade offs. How successful you want to be. How far out on risk curve you can go. What your social life is like. How much time you see close friends. When you get married. How many kids you have. If you want to continue your education. Hobbies that take up time. \n\nFor me⦠I always prioritized 2 things (after my faith). My family and my work. Everything else really doesnāt have room right now. My friendships have suffered. My wife tells me I have no social life. I donāt do guys weekends. I donāt play golf. \n\nItās all a choice of tradeoffs. The cost of success is HIGH. Itās big toll to pay. Itās 4-430 am wakeups everyday. Itās not cocktailing with friends. Itās working at home after kids go to bed instead of Netflix. Itās trading in the hospital room after your wife gives birth. \n\nI sacrifice a lot just so I can have breakfast and dinner with my kids. My best advice would be⦠have some non-negotiables and hold onto them. Find a team that has similar values. NO AMOUNT of money is worth missing your children grow up. \n\nWhat is success to me? Two part. The people that know me best, love me the most. And I can set my own schedule. \n\nGood luck.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}],"ctweets":[{"bookmarked":false,"display_text_range":[0,278],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1988352995826823471","quoted_status_permalink":{"url":"https://t.co/41idqdv9a0","expanded":"https://twitter.com/womenbeingawful/status/1988352995826823471","display":"x.com/womenbeingawfuā¦"},"retweeted":false,"fact_check":null,"id":"1988574173296205883","view_count":1833308,"bookmark_count":6446,"created_at":1762948003000,"favorite_count":12803,"quote_count":175,"reply_count":312,"retweet_count":2463,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"We need to talk about whatās happening to an entire generationā¦. Iām worried for my kids (this novel below can be for entrepreneurs / investors / or young women)\n\nThat girl crying because she āfelt nothingā on a perfectly good date? Sheās not broken. Sheās been rewired.\nWe live in an instant gratification society thatās completely divorced from how life actually works:\n\nWant food? Uber it. 30 minutes.\n\nWant entertainment? Netflix it. Instant.\n\nWant a date? Swipe it. Endless options.\n\nWant dopamine? Scroll it. Non-stop hits.\n\nEven want a dog playdate? Thereās an app for that.\n\nEverything worth having can be summoned with a tapā¦EXCEPT THINGS THAT ACTUALLY MATTER\n\nYou canāt app your way into a meaningful relationship. You canāt one click a sense of belonging. You canāt Amazon Prime a purpose.\n\nBut your brain doesnāt know that anymore. Social media has hijacked your reward system. Every scroll gives you a tiny dopamine hitā¦new face, new drama, new possibility. Your brain now expects relationships to feel like infinite scroll: effortless stimulation, zero investment, next option one swipe away.\n\nReal human connection doesnāt work like that. Itās slow. Itās awkward at first. It requires investment before you see returns. Real connection is built through:\n\nShared struggle + Shared purpose (serving at church, volunteering, building something) + Shared presence (showing up when itās boring, when itās hard, when thereās no audience)\n\nThe āsparkā youāre waiting for? Itās not supposed to strike like lightning. Itās supposed to be builtā¦through consistency, vulnerability, and time. But youāll never feel it if your brain is constantly comparing real life to the highlight reel, the algorithm, the fantasy.\n\nBuild slow, build real. Friendships that last decades start boring. Relationships that endure start imperfect. 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For context, this is the firm thatās basically *the* gold standard in quant investing. My thought project this early morning is to piece together what happenedā¦because if RenTechās models break, that tells us something IMPORTANT about markets right now.\n\n*I found these attachments on the internet someone loaded up⦠could be made up or wrong. Letās assume they are rightā¦\n\nRIEF runs ~$20B, supposedly factor neutral, market neutral-ish, with 2.5x leverage. The strategy is automated statistical arbitrage across thousands of long/short positions. Beta target of 0.4 or lower. These guys donāt blow up. So what changed?\n\nHereās where it gets interesting. In Feb 2023, they modified their strategy. Old target: net $100 long per $100 equity. New target: āNOT be greater than $100 net long⦠but with NO OBJECTIVE that it not be less.ā\n\nWaitā¦.they removed the floor? Thatās a massive shift. It allows them to go net short or significantly reduce market exposure.\n\nLooking at their factor exposure analysis (stress testing docs), something jumps out: theyāre NOT actually factor neutral. The āManager Style Driftā chart shows S&P 500 exposure went from ~0 to 3+ sigma starting around 2020. Thatās⦠not neutral.\n\nDuring COVID-19 (Mar 2020), they had:\n\n- +2.21 S&P 500 exposure\n- -1.78 MSCI North America\n- Negative VIX exposure\n- Small cap and value growth tilts\n\nThese exposures are contradictory and suggest hidden factor bets that maybe even *they* didnāt fully recognize in their risk model. ORā¦. Models now take them on in short term alpha trades. \n\nThe correlation stress testing chart (bottom right in the docs) is particularly revealing. It shows correlations increase dramatically during stress periods meaning their hedges fail precisely when needed most. Classic quant nightmare. OR they are specifically taking on tilts. \n\nSo hereās my working theory on October 2025:\n\nAfter Feb 2023, they likely used their new flexibility to reduce net long exposure (or even go short). If you follow LIQUIDATION NATION it has been a factor bloodbath and historical moves⦠they could be:\n\n1. Underexposed to upside on longs\n1. Getting squeezed on shorts\n1. Watching āneutralā factors suddenly correlate\n\nWith 2.5x leverage, even a -6% strategy loss becomes -15%.\n\nAlt #2: This was a crowded trade unwind. If other quant funds were positioned similarly, forced liquidations could cascade. Market microstructure breaks down, liquidity evaporates, execution slippage compounds losses.\n\nAlt #3: They are running lower leverage and taking on FACTOR TIMING (how I think about the world.. maybe I am cope lol). \n\nAlt #4: Some option trade went haywire \n\nWhatās fascinating⦠is their models apparently didnāt see this coming. These are arguably the most sophisticated predictive models in finance, built by some of the smartest people in the world, with 30+ years of data and refinement.\n\nYet something in October 2025ās market structure was fundamentally different from their training data.\n\nQuestions Iām still thinking about:\n\n- Was this a regime change moment where historical factor relationships broke?\n- Did their factor definitions drift from market reality?\n- Was the Feb 2023 strategy change a mistake in hindsight?\n- Or was this just an unlucky tail event that any model would miss?\n\nThe humbling thing: if RenTechās models battle tested through multiple crashes, with the deepest talent pool in quantā¦.can get caught like this, what does that say about model risk more broadly?\n\nIām not trying to criticizeā¦genuinely trying to learn. When the best models fail, thereās usually a deep lesson about markets, risk, or regime change embedded in there.\n\nWould love to hear thoughts from other quant folks. 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Preparation starts years before. Be likable. And most importantly⦠never give up.\n\nSTEP 1: I was working for a guy in NYC during the summer between year 1 & 2 at HBS. He spun out of GSS and started a PE firm⦠my job was to explain to LPs why money losing businesses like software and some alarm contract companies had great economics long term. This was 2012 when most people very skeptical of SaaS. This was right in my wheelhouse being a software entrepreneur before school. While I was in NYC I networked hard. MOST ignored me. I finally find a nice woman at SAC ⦠I bothered her soooo much she finally agreed to a coffee. No idea what she didā¦turned out she ran their TMT bus dev. We hit it off and she put me into their applicant pool for teams / PMs to review. Win. \n\nLesson: @pmarca was right on with the networking advice. If you canāt network your way to where you need to be⦠how can you be successful? You wonāt be\n\nI get back to Boston for year 2 and get a call saying there is a new team spinning up. They want me to formally interview for Boston office. Could I work and go to school? Damn right Iād figure it out. \n\nStep2. I go to the office and meet the PM⦠we will call him Big Mike. I went into their conference room and just talked with Big Mike. My background. My startups. Baseball. Was great. Then he slowly moved me into an almost verbal case study. $VMW was the big controversy at the time. We walked through the technology of hypervisors and VMs. How would I size an opportunity for VMs? What Big Mike didnāt know that I knew ā¦. there was new tech to squeeze more than 1 VM onto a standard server that was changing the industry. I was able to talk about the tech change happening from server silo to multiple machines on a single server. Was a HR. \n\nLesson: always be ready. I didnāt know I was getting a verbal case study. That was my only opportunity. Gotta be ready. Gotta seize it. \n\nStep 3: They pass me onto a senior analyst who is now one of the best TMT investors in multi strat land (currently yes). They gave me a modeling test. Basically a 3 statement excel with all the components messed up. I had 25 min. I didnāt do banking or PE⦠so I spent the whole fist year teaching myself this⦠I got everything organized in 20 min and everything was off by a factor of 10(?). I was like wtf. Big panic. With 1 minute to go I figured out the Revenue was in ASM and need to divide by the RASM (model turned out to be JETBLUE). Never looked at an airline before. The working capital was wonky also, good thing my test in accounting class that spring was this exact thing. Finished with 2 seconds left. Phew. HR was 130 easy. \n\nLesson: I spent a whole year waking up at 330am to teach myself financial modeling. Had no idea how it would pay off⦠it sure as hell did here in the 25 min I needed it. Do the work. \n\nStep4: I met the Boston office manager for another interview. More fit. He is legendary for his standing res at the Four Seasons. Was all about process and demands on the analysts. I had no idea what I was getting in toā¦\n\nLesson: You have to be likable. No one wants to work with someone that sucks even if a math phd HP machine. Especially in a high performance team \n\nBig Mike offered me the job after I did a couple projects for him. Amazing how the Lord works in our life. I look back and just like wow. It wasnāt fast. Had to beg my way in. But I never looked back. Steve was always good to me even as the lowest analyst on the totem pole. I think the best all time. 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OpenAI shipped ChatGPT. And the smartest AI team in the world proved Gene Munster right: \"The classic team with all the talent that doesn't win the championship.\"\n\nWhat a time to be alive.. AI will have a profound impact on the world and here is arguable the most talented team in the world \"giving up\" on applying it to Financial markets... the article is clearly missing a lot of details but what can we assume? \n\nThree possibilities immediately come to mind:\n\n1. Finance is genuinely harder than protein folding: markets are adversarial, noisy, reflexive. Every edge decays. AlphaGo had clear rules... markets have none. Maybe the AI \"sometimes\" beat benchmarks in sims but couldn't survive real world chaos & regime shifts... hallucinations can kill a fund\n\n2. Hassabis saw the regulatory nightmare: an AI that can predict protein structures wins Nobels. An AI that trades billions triggers SEC investigations, flash crash inquiries, systemic risk concerns. Why fight that battle when you can \"solve intelligence\"? He just saw A BIGGER OPPORTUNITY in AGI (likely)\n\n3. The prosaic problem: the article says it all: when asked \"what's your product?\" Hassabis called it a \"prosaic question.\" Finance requires obsessive attention to execution, latency, risk management, compliance...all grubby (his word) details beneath someone chasing cosmic breakthroughs\n\nI think AI in the financial markets is the biggest opportunity of my lifetime.\nBut NOT because AI will replace traders or \"solve\" markets... because it solves the PROSAIC problems that actually kill funds\n\n1. Early Warning System\npost COVID markets are more violent and chaotic than ever... LIQUIDATION NATION is real. Human bandwidth is the bottleneck.. AI's will ingest: news streams, social sentiment, factor flows, macro regime shifts, custom alphas... ALL 24/7 in the future. \"Flag the liquidation anomaly before it cascades across subsectors\" Liquidation Nation isn't a meme....it's the new reality to understand for the next 10 years\n\n2. Data Synthesis\nThe \"drowning in data\" problem is real. You have...\n-10,000 news articles/day\n-real time factor performance\n-alternative data feeds\n-historical analogues\n- 10x more data based on diff strategies\nWho synthesizes this? A junior analyst? Good luck...\n\nAI doesn't just aggregate... it CONNECTS patterns humans miss. \"What macro regime are we in? What happened last time yields spiked 50bps in 3 days while momentum sold off?\" This is what our agent \"Stanley\" does. Custom trained on OUR factors, OUR data, time aware vectors. ChatGPT doesn't know what your \"Momentum Spread\" did yesterday... \n\nThe future is VERTICAL SPECIFIC AGENTS\n\n3. Build and Learn Faster:\n AI can generate + test hundreds of factor combinations automatically. \"Can I use LLMs to generate hypothesis driven factors that have statistical relevance? \"Yes. Agent analyzes market data ā picks top 20 factors ā computer validates ā agent suggests combos (\"what if we multiply these?\") ā pick winners ā explain why it works. Velocity matters.\nRegime detection > static models\n\n4. Vibe Coding:\nThe most underrated shift. \"No one is coming to save your job.\"\nThe fundamental investor who can't code is dead. The quant who only looks backward is dead. The analyst who thinks AI is \"just a tool\" is dead. Learn to vibe code. Ask the right questions. Let Claude Code execute. Let Stanley synthesize. Build your own tools. \n\nAI won't replace you...but an industry expert using AI will\n\nGoogleās top AI executive seeks the profound over profits and the āprosaicā | Reuters","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1756172724064399360","name":"Stephanie Guild, CFA","screen_name":"StephGuildNYC","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"StephGuildNYC","lang":"en","retweeted":false,"fact_check":null,"id":"1988772729345176051","view_count":419,"bookmark_count":0,"created_at":1762995342000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@StephGuildNYC Awesome Steph! Well put and šÆ agree","in_reply_to_user_id_str":"1756172724064399360","in_reply_to_status_id_str":"1988771764365668391","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,21],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1439976714","name":"Jeremy","screen_name":"jermvasquez","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"jermvasquez","lang":"en","retweeted":false,"fact_check":null,"id":"1988788310987403349","view_count":192,"bookmark_count":0,"created_at":1762999057000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@jermvasquez Awesome!","in_reply_to_user_id_str":"1439976714","in_reply_to_status_id_str":"1988786301156663387","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,44],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1943008646369034240","name":"Eric Schenck | Real Person Messaging","screen_name":"rpmessaging","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"rpmessaging","lang":"en","retweeted":false,"fact_check":null,"id":"1988765252884791317","view_count":205,"bookmark_count":0,"created_at":1762993560000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@rpmessaging A lot to figure out next decade","in_reply_to_user_id_str":"1943008646369034240","in_reply_to_status_id_str":"1988765151063888101","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,51],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1363379699368546305","name":"Malikaii.Mask","screen_name":"MalikaiiM","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"MalikaiiM","lang":"en","retweeted":false,"fact_check":null,"id":"1988785280783118799","view_count":75,"bookmark_count":0,"created_at":1762998335000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@MalikaiiM Thanks for the complimentā¦. Negative lol","in_reply_to_user_id_str":"1363379699368546305","in_reply_to_status_id_str":"1988784757040394540","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-15","value":19,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,274],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320206515093504","indices":[275,298],"media_key":"3_1989320206515093504","media_url_https":"https://pbs.twimg.com/media/G5t8MB3WwAAX7O1.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":630,"resize":"fit"},"medium":{"h":470,"w":630,"resize":"fit"},"small":{"h":470,"w":630,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":630,"focus_rects":[{"x":0,"y":0,"w":630,"h":353},{"x":160,"y":0,"w":470,"h":470},{"x":218,"y":0,"w":412,"h":470},{"x":339,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":630,"h":470}]},"media_results":{"result":{"media_key":"3_1989320206515093504"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320273355472896","indices":[275,298],"media_key":"3_1989320273355472896","media_url_https":"https://pbs.twimg.com/media/G5t8P63WAAAPX_-.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":626,"resize":"fit"},"medium":{"h":470,"w":626,"resize":"fit"},"small":{"h":470,"w":626,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":626,"focus_rects":[{"x":0,"y":0,"w":626,"h":351},{"x":31,"y":0,"w":470,"h":470},{"x":60,"y":0,"w":412,"h":470},{"x":149,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":626,"h":470}]},"media_results":{"result":{"media_key":"3_1989320273355472896"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320428431478784","indices":[275,298],"media_key":"3_1989320428431478784","media_url_https":"https://pbs.twimg.com/media/G5t8Y8kWEAAoL_Y.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":690,"resize":"fit"},"medium":{"h":470,"w":690,"resize":"fit"},"small":{"h":463,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":690,"focus_rects":[{"x":0,"y":0,"w":690,"h":386},{"x":220,"y":0,"w":470,"h":470},{"x":278,"y":0,"w":412,"h":470},{"x":452,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":690,"h":470}]},"media_results":{"result":{"media_key":"3_1989320428431478784"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320206515093504","indices":[275,298],"media_key":"3_1989320206515093504","media_url_https":"https://pbs.twimg.com/media/G5t8MB3WwAAX7O1.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":630,"resize":"fit"},"medium":{"h":470,"w":630,"resize":"fit"},"small":{"h":470,"w":630,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":630,"focus_rects":[{"x":0,"y":0,"w":630,"h":353},{"x":160,"y":0,"w":470,"h":470},{"x":218,"y":0,"w":412,"h":470},{"x":339,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":630,"h":470}]},"media_results":{"result":{"media_key":"3_1989320206515093504"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320273355472896","indices":[275,298],"media_key":"3_1989320273355472896","media_url_https":"https://pbs.twimg.com/media/G5t8P63WAAAPX_-.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":626,"resize":"fit"},"medium":{"h":470,"w":626,"resize":"fit"},"small":{"h":470,"w":626,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":626,"focus_rects":[{"x":0,"y":0,"w":626,"h":351},{"x":31,"y":0,"w":470,"h":470},{"x":60,"y":0,"w":412,"h":470},{"x":149,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":626,"h":470}]},"media_results":{"result":{"media_key":"3_19893202733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FRIDAY 11/14: Liquidation Nation edition... someone I respect asked me to start a Friday Factor series... lets try it out.. \n\nTo understand and operate in this regime of LIQUIDATION NATION... you need to understand factors. Not factors in the traditional sense....I'm talking about FLOW factors. Positioning factors. What's crowded. What's being puked. What's reversing mean.\n\nTHE LIQUIDATION SIGNATURE HAS BEEN SCREAMING for weeks (btw look at the NQZ5 volume between 6am-8am today) \n\nHere's what's actually happening:\n\nTHE PUKE: Quantum computing down -25% this week (!), Bitcoin miners -22%, AI power plays -21%. These aren't \"corrections\"... these are forced unwinds. Someone big got tapped from the Risk Ninjas, is underwater, and selling what they can, not what they want to\n\nTHE TELL: Look at the ZScores. Quantum computing at big negative Z means this move has been accelerating. AI power infrastructure? That's not price discovery. That's liquidation nation\n\nTHE CORRELATION BREAK: Korea Conglomerates +7.5%, Healthcare holding green all week, while crypto/quantum/uranium all nuking together. This ISN'T a macro selloff. This is SPECIFIC positioning getting blown out. Someone was long \"AI revolution 2.0\" basket and is actively degrossing / getting liquidated\n\nTHE HEDGE: Notice pharma/healthcare holding up? \"Make America Healthy Again\" at +4 Z-score? While speculative tech dies, defensive quality works. Classic hedge fund playbook: they're selling losers to cover, not selling winners\n\nTHE CROWDING INDICATOR: When you see this kind of Z-score dispersion, you're seeing crowded trades unwind in real-time. The factors moving like these Z moves don't just \"happen\" ...they happen when 50 funds hold the same \"theme\"\n\nBOTTOM LINE: \nIf you're holding big NEGATIVE ZScore positions on Monday thinking \"it can't go lower\"... you're the liquidity\n\nIf you're chasing BIG POSITIVE ZScore winners thinking \"momentum always works\"... you're late to a crowded trade that's about to get faded\n\nTHE ONLY WAY TO SURVIVE LIQUIDATION WAVES IS TO BE ANALYTICALLY RELENTLESS + INTELLECTUALLY DYNAMIC + ALWAYS ALWAYS MANAGE RISK\n\nNext Friday: we will talk spreads and risk management. Drop a comment on what you want to see and I will try to work it in\n\n{DATA}\n1. Weekly Top 10 / Bottom 10 Factors below\n2. Weekly Top 10 / Bottom 10 Z-SCORES below\n3. Top 10 / Bottom 10 Returns -> Z-SCORED","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,28],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1509008382060945410","name":"CRE Romans","screen_name":"creromans","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"creromans","lang":"en","retweeted":false,"fact_check":null,"id":"1989355768492273720","view_count":36,"bookmark_count":0,"created_at":1763134350000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988997777632956887","full_text":"@creromans Whatās the cause?","in_reply_to_user_id_str":"1509008382060945410","in_reply_to_status_id_str":"1988997777632956887","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-16","value":1,"startTime":1763164800000,"endTime":1763251200000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989417492582899872","quoted_status_permalink":{"url":"https://t.co/mEHn7fYWPJ","expanded":"https://twitter.com/artificialanlys/status/1989417492582899872","display":"x.com/artificialanlyā¦"},"retweeted":false,"fact_check":null,"id":"1989695111467278797","view_count":3189,"bookmark_count":14,"created_at":1763215255000,"favorite_count":13,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"Foundation model economics look increasingly āchallengedā as is. Weāre watching near zero switching costs meet marginal differentiation⦠GPT 5.1 gains just +2 points over GPT5 while cutting costs ~6%. BEARS will say massive capex, diminishing returns, inevitable price compression as capabilities converge.\n\nBULLS will say there are two worlds where this makes sense:\n\n1 Vertical integration where models become loss leaders for ecosystems⦠MSFT and GOOGL bundle into workspace, AAPL into devices. The margin lives in adjacent services, not the model itself. OAI pushing into chat / advertising / adult content is the tell to me\n\n2 Pure distribution moats⦠ChatGPTās 300M+ users mean even commoditized products win with scale. Think AWS commoditizing compute but owning the entire marketplace and (fees). OAI App Store?\n\nThe issue is a race to bottom happens when pure play API providers compete solely on price/performance⦠when no proprietary data moats emerge⦠when inference costs collapse faster than willingness to absorb fee increases \n\nThe GPT 5.1 update gives us incremental insight into the future⦠marginal intelligence gains, focus shifted to āpersonalityā and steering into an āecosystemā\n\nSustainable economics require either owning distribution or making the model a feature, not the product. 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For context, this is the firm thatās basically *the* gold standard in quant investing. My thought project this early morning is to piece together what happenedā¦because if RenTechās models break, that tells us something IMPORTANT about markets right now.\n\n*I found these attachments on the internet someone loaded up⦠could be made up or wrong. Letās assume they are rightā¦\n\nRIEF runs ~$20B, supposedly factor neutral, market neutral-ish, with 2.5x leverage. The strategy is automated statistical arbitrage across thousands of long/short positions. Beta target of 0.4 or lower. These guys donāt blow up. So what changed?\n\nHereās where it gets interesting. In Feb 2023, they modified their strategy. Old target: net $100 long per $100 equity. New target: āNOT be greater than $100 net long⦠but with NO OBJECTIVE that it not be less.ā\n\nWaitā¦.they removed the floor? Thatās a massive shift. It allows them to go net short or significantly reduce market exposure.\n\nLooking at their factor exposure analysis (stress testing docs), something jumps out: theyāre NOT actually factor neutral. The āManager Style Driftā chart shows S&P 500 exposure went from ~0 to 3+ sigma starting around 2020. Thatās⦠not neutral.\n\nDuring COVID-19 (Mar 2020), they had:\n\n- +2.21 S&P 500 exposure\n- -1.78 MSCI North America\n- Negative VIX exposure\n- Small cap and value growth tilts\n\nThese exposures are contradictory and suggest hidden factor bets that maybe even *they* didnāt fully recognize in their risk model. ORā¦. Models now take them on in short term alpha trades. \n\nThe correlation stress testing chart (bottom right in the docs) is particularly revealing. It shows correlations increase dramatically during stress periods meaning their hedges fail precisely when needed most. Classic quant nightmare. OR they are specifically taking on tilts. \n\nSo hereās my working theory on October 2025:\n\nAfter Feb 2023, they likely used their new flexibility to reduce net long exposure (or even go short). If you follow LIQUIDATION NATION it has been a factor bloodbath and historical moves⦠they could be:\n\n1. Underexposed to upside on longs\n1. Getting squeezed on shorts\n1. Watching āneutralā factors suddenly correlate\n\nWith 2.5x leverage, even a -6% strategy loss becomes -15%.\n\nAlt #2: This was a crowded trade unwind. If other quant funds were positioned similarly, forced liquidations could cascade. Market microstructure breaks down, liquidity evaporates, execution slippage compounds losses.\n\nAlt #3: They are running lower leverage and taking on FACTOR TIMING (how I think about the world.. maybe I am cope lol). \n\nAlt #4: Some option trade went haywire \n\nWhatās fascinating⦠is their models apparently didnāt see this coming. These are arguably the most sophisticated predictive models in finance, built by some of the smartest people in the world, with 30+ years of data and refinement.\n\nYet something in October 2025ās market structure was fundamentally different from their training data.\n\nQuestions Iām still thinking about:\n\n- Was this a regime change moment where historical factor relationships broke?\n- Did their factor definitions drift from market reality?\n- Was the Feb 2023 strategy change a mistake in hindsight?\n- Or was this just an unlucky tail event that any model would miss?\n\nThe humbling thing: if RenTechās models battle tested through multiple crashes, with the deepest talent pool in quantā¦.can get caught like this, what does that say about model risk more broadly?\n\nIām not trying to criticizeā¦genuinely trying to learn. When the best models fail, thereās usually a deep lesson about markets, risk, or regime change embedded in there.\n\nWould love to hear thoughts from other quant folks. What am I missing?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[{"indices":[1567,1571],"text":"VMW"}],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"5943622","name":"Marc Andreessen šŗšø","screen_name":"pmarca","indices":[976,983]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1979502392677646532","quoted_status_permalink":{"url":"https://t.co/aDL752rvGa","expanded":"https://twitter.com/jaredkubin/status/1979502392677646532","display":"x.com/jaredkubin/staā¦"},"retweeted":false,"fact_check":null,"id":"1982042903196111345","view_count":101979,"bookmark_count":329,"created_at":1761390827000,"favorite_count":353,"quote_count":0,"reply_count":8,"retweet_count":14,"user_id_str":"129401455","conversation_id_str":"1982042903196111345","full_text":"SAC Interview Process (circa 2012 so I am sure its diff now)\n\nOh boyā¦Since everyone liked the BW story⦠here is a different one⦠intense but in a diff way \n\nTLDR: Network like a crazy person. Preparation starts years before. Be likable. And most importantly⦠never give up.\n\nSTEP 1: I was working for a guy in NYC during the summer between year 1 & 2 at HBS. He spun out of GSS and started a PE firm⦠my job was to explain to LPs why money losing businesses like software and some alarm contract companies had great economics long term. This was 2012 when most people very skeptical of SaaS. This was right in my wheelhouse being a software entrepreneur before school. While I was in NYC I networked hard. MOST ignored me. I finally find a nice woman at SAC ⦠I bothered her soooo much she finally agreed to a coffee. No idea what she didā¦turned out she ran their TMT bus dev. We hit it off and she put me into their applicant pool for teams / PMs to review. Win. \n\nLesson: @pmarca was right on with the networking advice. If you canāt network your way to where you need to be⦠how can you be successful? You wonāt be\n\nI get back to Boston for year 2 and get a call saying there is a new team spinning up. They want me to formally interview for Boston office. Could I work and go to school? Damn right Iād figure it out. \n\nStep2. I go to the office and meet the PM⦠we will call him Big Mike. I went into their conference room and just talked with Big Mike. My background. My startups. Baseball. Was great. Then he slowly moved me into an almost verbal case study. $VMW was the big controversy at the time. We walked through the technology of hypervisors and VMs. How would I size an opportunity for VMs? What Big Mike didnāt know that I knew ā¦. there was new tech to squeeze more than 1 VM onto a standard server that was changing the industry. I was able to talk about the tech change happening from server silo to multiple machines on a single server. Was a HR. \n\nLesson: always be ready. I didnāt know I was getting a verbal case study. That was my only opportunity. Gotta be ready. Gotta seize it. \n\nStep 3: They pass me onto a senior analyst who is now one of the best TMT investors in multi strat land (currently yes). They gave me a modeling test. Basically a 3 statement excel with all the components messed up. I had 25 min. I didnāt do banking or PE⦠so I spent the whole fist year teaching myself this⦠I got everything organized in 20 min and everything was off by a factor of 10(?). I was like wtf. Big panic. With 1 minute to go I figured out the Revenue was in ASM and need to divide by the RASM (model turned out to be JETBLUE). Never looked at an airline before. The working capital was wonky also, good thing my test in accounting class that spring was this exact thing. Finished with 2 seconds left. Phew. HR was 130 easy. \n\nLesson: I spent a whole year waking up at 330am to teach myself financial modeling. Had no idea how it would pay off⦠it sure as hell did here in the 25 min I needed it. Do the work. \n\nStep4: I met the Boston office manager for another interview. More fit. He is legendary for his standing res at the Four Seasons. Was all about process and demands on the analysts. I had no idea what I was getting in toā¦\n\nLesson: You have to be likable. No one wants to work with someone that sucks even if a math phd HP machine. Especially in a high performance team \n\nBig Mike offered me the job after I did a couple projects for him. Amazing how the Lord works in our life. I look back and just like wow. It wasnāt fast. Had to beg my way in. But I never looked back. Steve was always good to me even as the lowest analyst on the totem pole. I think the best all time. GOAT.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982115148392481194","quoted_status_permalink":{"url":"https://t.co/QQ3cyMbSm9","expanded":"https://twitter.com/twoeggers/status/1982115148392481194","display":"x.com/twoeggers/statā¦"},"retweeted":false,"fact_check":null,"id":"1982115596473909529","view_count":51159,"bookmark_count":75,"created_at":1761408158000,"favorite_count":96,"quote_count":0,"reply_count":4,"retweet_count":1,"user_id_str":"129401455","conversation_id_str":"1982115596473909529","full_text":"Great context. Heard stories. 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Letās go. https://t.co/5lWGV5x1ne","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982425610443256164","quoted_status_permalink":{"url":"https://t.co/YCosGDhB7O","expanded":"https://twitter.com/blueprintsmb22/status/1982425610443256164","display":"x.com/blueprintsmb22ā¦"},"retweeted":false,"fact_check":null,"id":"1982442636335071719","view_count":74336,"bookmark_count":45,"created_at":1761486131000,"favorite_count":214,"quote_count":1,"reply_count":6,"retweet_count":2,"user_id_str":"129401455","conversation_id_str":"1982442636335071719","full_text":"Iāve been fortunate to be friends with Blue for over 10+ years. 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OpenAI shipped ChatGPT. And the smartest AI team in the world proved Gene Munster right: \"The classic team with all the talent that doesn't win the championship.\"\n\nWhat a time to be alive.. AI will have a profound impact on the world and here is arguable the most talented team in the world \"giving up\" on applying it to Financial markets... the article is clearly missing a lot of details but what can we assume? \n\nThree possibilities immediately come to mind:\n\n1. Finance is genuinely harder than protein folding: markets are adversarial, noisy, reflexive. Every edge decays. AlphaGo had clear rules... markets have none. Maybe the AI \"sometimes\" beat benchmarks in sims but couldn't survive real world chaos & regime shifts... hallucinations can kill a fund\n\n2. Hassabis saw the regulatory nightmare: an AI that can predict protein structures wins Nobels. An AI that trades billions triggers SEC investigations, flash crash inquiries, systemic risk concerns. Why fight that battle when you can \"solve intelligence\"? He just saw A BIGGER OPPORTUNITY in AGI (likely)\n\n3. The prosaic problem: the article says it all: when asked \"what's your product?\" Hassabis called it a \"prosaic question.\" Finance requires obsessive attention to execution, latency, risk management, compliance...all grubby (his word) details beneath someone chasing cosmic breakthroughs\n\nI think AI in the financial markets is the biggest opportunity of my lifetime.\nBut NOT because AI will replace traders or \"solve\" markets... because it solves the PROSAIC problems that actually kill funds\n\n1. Early Warning System\npost COVID markets are more violent and chaotic than ever... LIQUIDATION NATION is real. Human bandwidth is the bottleneck.. AI's will ingest: news streams, social sentiment, factor flows, macro regime shifts, custom alphas... ALL 24/7 in the future. \"Flag the liquidation anomaly before it cascades across subsectors\" Liquidation Nation isn't a meme....it's the new reality to understand for the next 10 years\n\n2. Data Synthesis\nThe \"drowning in data\" problem is real. You have...\n-10,000 news articles/day\n-real time factor performance\n-alternative data feeds\n-historical analogues\n- 10x more data based on diff strategies\nWho synthesizes this? A junior analyst? Good luck...\n\nAI doesn't just aggregate... it CONNECTS patterns humans miss. \"What macro regime are we in? What happened last time yields spiked 50bps in 3 days while momentum sold off?\" This is what our agent \"Stanley\" does. Custom trained on OUR factors, OUR data, time aware vectors. ChatGPT doesn't know what your \"Momentum Spread\" did yesterday... \n\nThe future is VERTICAL SPECIFIC AGENTS\n\n3. Build and Learn Faster:\n AI can generate + test hundreds of factor combinations automatically. \"Can I use LLMs to generate hypothesis driven factors that have statistical relevance? \"Yes. Agent analyzes market data ā picks top 20 factors ā computer validates ā agent suggests combos (\"what if we multiply these?\") ā pick winners ā explain why it works. Velocity matters.\nRegime detection > static models\n\n4. Vibe Coding:\nThe most underrated shift. \"No one is coming to save your job.\"\nThe fundamental investor who can't code is dead. The quant who only looks backward is dead. The analyst who thinks AI is \"just a tool\" is dead. Learn to vibe code. Ask the right questions. Let Claude Code execute. Let Stanley synthesize. Build your own tools. \n\nAI won't replace you...but an industry expert using AI will\n\nGoogleās top AI executive seeks the profound over profits and the āprosaicā | Reuters","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1756172724064399360","name":"Stephanie Guild, CFA","screen_name":"StephGuildNYC","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"StephGuildNYC","lang":"en","retweeted":false,"fact_check":null,"id":"1988772729345176051","view_count":419,"bookmark_count":0,"created_at":1762995342000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@StephGuildNYC Awesome Steph! Well put and šÆ agree","in_reply_to_user_id_str":"1756172724064399360","in_reply_to_status_id_str":"1988771764365668391","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,21],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1439976714","name":"Jeremy","screen_name":"jermvasquez","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"jermvasquez","lang":"en","retweeted":false,"fact_check":null,"id":"1988788310987403349","view_count":192,"bookmark_count":0,"created_at":1762999057000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@jermvasquez Awesome!","in_reply_to_user_id_str":"1439976714","in_reply_to_status_id_str":"1988786301156663387","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,44],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1943008646369034240","name":"Eric Schenck | Real Person Messaging","screen_name":"rpmessaging","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"rpmessaging","lang":"en","retweeted":false,"fact_check":null,"id":"1988765252884791317","view_count":205,"bookmark_count":0,"created_at":1762993560000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@rpmessaging A lot to figure out next decade","in_reply_to_user_id_str":"1943008646369034240","in_reply_to_status_id_str":"1988765151063888101","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,51],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1363379699368546305","name":"Malikaii.Mask","screen_name":"MalikaiiM","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"MalikaiiM","lang":"en","retweeted":false,"fact_check":null,"id":"1988785280783118799","view_count":75,"bookmark_count":0,"created_at":1762998335000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@MalikaiiM Thanks for the complimentā¦. 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lol","in_reply_to_user_id_str":"1363379699368546305","in_reply_to_status_id_str":"1988784757040394540","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-15","value":180,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,274],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320206515093504","indices":[275,298],"media_key":"3_1989320206515093504","media_url_https":"https://pbs.twimg.com/media/G5t8MB3WwAAX7O1.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":630,"resize":"fit"},"medium":{"h":470,"w":630,"resize":"fit"},"small":{"h":470,"w":630,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":630,"focus_rects":[{"x":0,"y":0,"w":630,"h":353},{"x":160,"y":0,"w":470,"h":470},{"x":218,"y":0,"w":412,"h":470},{"x":339,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":630,"h":470}]},"media_results":{"result":{"media_key":"3_1989320206515093504"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320273355472896","indices":[275,298],"media_key":"3_1989320273355472896","media_url_https":"https://pbs.twimg.com/media/G5t8P63WAAAPX_-.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":626,"resize":"fit"},"medium":{"h":470,"w":626,"resize":"fit"},"small":{"h":470,"w":626,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":626,"focus_rects":[{"x":0,"y":0,"w":626,"h":351},{"x":31,"y":0,"w":470,"h":470},{"x":60,"y":0,"w":412,"h":470},{"x":149,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":626,"h":470}]},"media_results":{"result":{"media_key":"3_1989320273355472896"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320428431478784","indices":[275,298],"media_key":"3_1989320428431478784","media_url_https":"https://pbs.twimg.com/media/G5t8Y8kWEAAoL_Y.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":690,"resize":"fit"},"medium":{"h":470,"w":690,"resize":"fit"},"small":{"h":463,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":690,"focus_rects":[{"x":0,"y":0,"w":690,"h":386},{"x":220,"y":0,"w":470,"h":470},{"x":278,"y":0,"w":412,"h":470},{"x":452,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":690,"h":470}]},"media_results":{"result":{"media_key":"3_1989320428431478784"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320206515093504","indices":[275,298],"media_key":"3_1989320206515093504","media_url_https":"https://pbs.twimg.com/media/G5t8MB3WwAAX7O1.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":630,"resize":"fit"},"medium":{"h":470,"w":630,"resize":"fit"},"small":{"h":470,"w":630,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":630,"focus_rects":[{"x":0,"y":0,"w":630,"h":353},{"x":160,"y":0,"w":470,"h":470},{"x":218,"y":0,"w":412,"h":470},{"x":339,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":630,"h":470}]},"media_results":{"result":{"media_key":"3_1989320206515093504"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320273355472896","indices":[275,298],"media_key":"3_1989320273355472896","media_url_https":"https://pbs.twimg.com/media/G5t8P63WAAAPX_-.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":626,"resize":"fit"},"medium":{"h":470,"w":626,"resize":"fit"},"small":{"h":470,"w":626,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":626,"focus_rects":[{"x":0,"y":0,"w":626,"h":351},{"x":31,"y":0,"w":470,"h":470},{"x":60,"y":0,"w":412,"h":470},{"x":149,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":626,"h":470}]},"media_results":{"result":{"media_key":"3_1989320273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FRIDAY 11/14: Liquidation Nation edition... someone I respect asked me to start a Friday Factor series... lets try it out.. \n\nTo understand and operate in this regime of LIQUIDATION NATION... you need to understand factors. Not factors in the traditional sense....I'm talking about FLOW factors. Positioning factors. What's crowded. What's being puked. What's reversing mean.\n\nTHE LIQUIDATION SIGNATURE HAS BEEN SCREAMING for weeks (btw look at the NQZ5 volume between 6am-8am today) \n\nHere's what's actually happening:\n\nTHE PUKE: Quantum computing down -25% this week (!), Bitcoin miners -22%, AI power plays -21%. These aren't \"corrections\"... these are forced unwinds. Someone big got tapped from the Risk Ninjas, is underwater, and selling what they can, not what they want to\n\nTHE TELL: Look at the ZScores. Quantum computing at big negative Z means this move has been accelerating. AI power infrastructure? That's not price discovery. That's liquidation nation\n\nTHE CORRELATION BREAK: Korea Conglomerates +7.5%, Healthcare holding green all week, while crypto/quantum/uranium all nuking together. This ISN'T a macro selloff. This is SPECIFIC positioning getting blown out. Someone was long \"AI revolution 2.0\" basket and is actively degrossing / getting liquidated\n\nTHE HEDGE: Notice pharma/healthcare holding up? \"Make America Healthy Again\" at +4 Z-score? While speculative tech dies, defensive quality works. Classic hedge fund playbook: they're selling losers to cover, not selling winners\n\nTHE CROWDING INDICATOR: When you see this kind of Z-score dispersion, you're seeing crowded trades unwind in real-time. The factors moving like these Z moves don't just \"happen\" ...they happen when 50 funds hold the same \"theme\"\n\nBOTTOM LINE: \nIf you're holding big NEGATIVE ZScore positions on Monday thinking \"it can't go lower\"... you're the liquidity\n\nIf you're chasing BIG POSITIVE ZScore winners thinking \"momentum always works\"... you're late to a crowded trade that's about to get faded\n\nTHE ONLY WAY TO SURVIVE LIQUIDATION WAVES IS TO BE ANALYTICALLY RELENTLESS + INTELLECTUALLY DYNAMIC + ALWAYS ALWAYS MANAGE RISK\n\nNext Friday: we will talk spreads and risk management. Drop a comment on what you want to see and I will try to work it in\n\n{DATA}\n1. Weekly Top 10 / Bottom 10 Factors below\n2. Weekly Top 10 / Bottom 10 Z-SCORES below\n3. Top 10 / Bottom 10 Returns -> Z-SCORED","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,28],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1509008382060945410","name":"CRE Romans","screen_name":"creromans","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"creromans","lang":"en","retweeted":false,"fact_check":null,"id":"1989355768492273720","view_count":36,"bookmark_count":0,"created_at":1763134350000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988997777632956887","full_text":"@creromans Whatās the cause?","in_reply_to_user_id_str":"1509008382060945410","in_reply_to_status_id_str":"1988997777632956887","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-16","value":14,"startTime":1763164800000,"endTime":1763251200000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989417492582899872","quoted_status_permalink":{"url":"https://t.co/mEHn7fYWPJ","expanded":"https://twitter.com/artificialanlys/status/1989417492582899872","display":"x.com/artificialanlyā¦"},"retweeted":false,"fact_check":null,"id":"1989695111467278797","view_count":3189,"bookmark_count":14,"created_at":1763215255000,"favorite_count":13,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"Foundation model economics look increasingly āchallengedā as is. Weāre watching near zero switching costs meet marginal differentiation⦠GPT 5.1 gains just +2 points over GPT5 while cutting costs ~6%. BEARS will say massive capex, diminishing returns, inevitable price compression as capabilities converge.\n\nBULLS will say there are two worlds where this makes sense:\n\n1 Vertical integration where models become loss leaders for ecosystems⦠MSFT and GOOGL bundle into workspace, AAPL into devices. The margin lives in adjacent services, not the model itself. OAI pushing into chat / advertising / adult content is the tell to me\n\n2 Pure distribution moats⦠ChatGPTās 300M+ users mean even commoditized products win with scale. Think AWS commoditizing compute but owning the entire marketplace and (fees). OAI App Store?\n\nThe issue is a race to bottom happens when pure play API providers compete solely on price/performance⦠when no proprietary data moats emerge⦠when inference costs collapse faster than willingness to absorb fee increases \n\nThe GPT 5.1 update gives us incremental insight into the future⦠marginal intelligence gains, focus shifted to āpersonalityā and steering into an āecosystemā\n\nSustainable economics require either owning distribution or making the model a feature, not the product. Everything else is a commodity play with VC subsidized pricing until someone blinks or canāt get financing","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[17,52],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2798335405","name":"Cam Mackintosh","screen_name":"RelativInvestor","indices":[0,16]}]},"favorited":false,"in_reply_to_screen_name":"RelativInvestor","lang":"en","retweeted":false,"fact_check":null,"id":"1989702224499363907","view_count":53,"bookmark_count":0,"created_at":1763216951000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"@RelativInvestor Agreed. Big wave M&A coming imo","in_reply_to_user_id_str":"2798335405","in_reply_to_status_id_str":"1989701753755816445","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-17","value":2,"startTime":1763251200000,"endTime":1763337600000,"tweets":[{"bookmarked":false,"display_text_range":[14,122],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1779775861589504000","name":"sysls","screen_name":"systematicls","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"systematicls","lang":"en","retweeted":false,"fact_check":null,"id":"1990041698865660249","view_count":1237,"bookmark_count":2,"created_at":1763297888000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1990041117224824974","full_text":"@systematicls People could just skip all that⦠train on t1_returns and be faster to market ⦠speed is the name of the game","in_reply_to_user_id_str":"1779775861589504000","in_reply_to_status_id_str":"1990041117224824974","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2244127460","name":"Unemployed Capital Allocator","screen_name":"atelicinvest","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"atelicinvest","lang":"en","retweeted":false,"fact_check":null,"id":"1990035051069718923","view_count":532,"bookmark_count":0,"created_at":1763296303000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989924643034239201","full_text":"@atelicinvest Vibes have shifted","in_reply_to_user_id_str":"2244127460","in_reply_to_status_id_str":"1989924643034239201","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-18","value":0,"startTime":1763337600000,"endTime":1763424000000,"tweets":[]}],"nretweets":[{"label":"2025-10-19","value":37,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979396139343622255","quoted_status_permalink":{"url":"https://t.co/NxRS4QeQMB","expanded":"https://twitter.com/lootdropcapital/status/1979396139343622255","display":"x.com/lootdropcapitaā¦"},"retweeted":false,"fact_check":null,"id":"1979502392677646532","view_count":802598,"bookmark_count":578,"created_at":1760785122000,"favorite_count":1067,"quote_count":10,"reply_count":37,"retweet_count":33,"user_id_str":"129401455","conversation_id_str":"1979502392677646532","full_text":"I did 3 rounds of interviews with BW. It was ⦠an āexperienceā \n\n1. Dinner -> seemed normal enough⦠I had no idea what to expect. Was at the top restaurant in Cambridge⦠anything we wanted. As a starving MBA, was a highlight. Invited to a debate after. \n\n2. 8 person debate. Objective was bring a ācontroversialā topic to debate. 3 I remember \n- āis the illusion of choice limiting for humansā\n- ākill 1 person to save 1m peopleā\n- mine⦠āshould the government regulate the internetā \n\nI love debate and donāt take much personal ⦠was intense and fun. \n\n3. I was then passed on to a psychologist in Canada? Asked me a serious of questions for 2 hours ok the phone. Iām trying to remember ⦠said the goal was to measure my brain and Frontal Cortex? This was close to 15 yrs ago. I found the questions kinda silly. How could some PHD understand me from a 2 hr call? \n\nAnyway they dinged me after round three. I guess my Frontal Cortex wasnāt developed or big enough. \n\nLots of BW lurkers on here ⦠and some public alum. 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For context, this is the firm thatās basically *the* gold standard in quant investing. My thought project this early morning is to piece together what happenedā¦because if RenTechās models break, that tells us something IMPORTANT about markets right now.\n\n*I found these attachments on the internet someone loaded up⦠could be made up or wrong. Letās assume they are rightā¦\n\nRIEF runs ~$20B, supposedly factor neutral, market neutral-ish, with 2.5x leverage. The strategy is automated statistical arbitrage across thousands of long/short positions. Beta target of 0.4 or lower. These guys donāt blow up. So what changed?\n\nHereās where it gets interesting. In Feb 2023, they modified their strategy. Old target: net $100 long per $100 equity. New target: āNOT be greater than $100 net long⦠but with NO OBJECTIVE that it not be less.ā\n\nWaitā¦.they removed the floor? Thatās a massive shift. It allows them to go net short or significantly reduce market exposure.\n\nLooking at their factor exposure analysis (stress testing docs), something jumps out: theyāre NOT actually factor neutral. The āManager Style Driftā chart shows S&P 500 exposure went from ~0 to 3+ sigma starting around 2020. Thatās⦠not neutral.\n\nDuring COVID-19 (Mar 2020), they had:\n\n- +2.21 S&P 500 exposure\n- -1.78 MSCI North America\n- Negative VIX exposure\n- Small cap and value growth tilts\n\nThese exposures are contradictory and suggest hidden factor bets that maybe even *they* didnāt fully recognize in their risk model. ORā¦. Models now take them on in short term alpha trades. \n\nThe correlation stress testing chart (bottom right in the docs) is particularly revealing. It shows correlations increase dramatically during stress periods meaning their hedges fail precisely when needed most. Classic quant nightmare. OR they are specifically taking on tilts. \n\nSo hereās my working theory on October 2025:\n\nAfter Feb 2023, they likely used their new flexibility to reduce net long exposure (or even go short). If you follow LIQUIDATION NATION it has been a factor bloodbath and historical moves⦠they could be:\n\n1. Underexposed to upside on longs\n1. Getting squeezed on shorts\n1. Watching āneutralā factors suddenly correlate\n\nWith 2.5x leverage, even a -6% strategy loss becomes -15%.\n\nAlt #2: This was a crowded trade unwind. If other quant funds were positioned similarly, forced liquidations could cascade. Market microstructure breaks down, liquidity evaporates, execution slippage compounds losses.\n\nAlt #3: They are running lower leverage and taking on FACTOR TIMING (how I think about the world.. maybe I am cope lol). \n\nAlt #4: Some option trade went haywire \n\nWhatās fascinating⦠is their models apparently didnāt see this coming. These are arguably the most sophisticated predictive models in finance, built by some of the smartest people in the world, with 30+ years of data and refinement.\n\nYet something in October 2025ās market structure was fundamentally different from their training data.\n\nQuestions Iām still thinking about:\n\n- Was this a regime change moment where historical factor relationships broke?\n- Did their factor definitions drift from market reality?\n- Was the Feb 2023 strategy change a mistake in hindsight?\n- Or was this just an unlucky tail event that any model would miss?\n\nThe humbling thing: if RenTechās models battle tested through multiple crashes, with the deepest talent pool in quantā¦.can get caught like this, what does that say about model risk more broadly?\n\nIām not trying to criticizeā¦genuinely trying to learn. When the best models fail, thereās usually a deep lesson about markets, risk, or regime change embedded in there.\n\nWould love to hear thoughts from other quant folks. What am I missing?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[{"indices":[1567,1571],"text":"VMW"}],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"5943622","name":"Marc Andreessen šŗšø","screen_name":"pmarca","indices":[976,983]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1979502392677646532","quoted_status_permalink":{"url":"https://t.co/aDL752rvGa","expanded":"https://twitter.com/jaredkubin/status/1979502392677646532","display":"x.com/jaredkubin/staā¦"},"retweeted":false,"fact_check":null,"id":"1982042903196111345","view_count":101979,"bookmark_count":329,"created_at":1761390827000,"favorite_count":353,"quote_count":0,"reply_count":8,"retweet_count":14,"user_id_str":"129401455","conversation_id_str":"1982042903196111345","full_text":"SAC Interview Process (circa 2012 so I am sure its diff now)\n\nOh boyā¦Since everyone liked the BW story⦠here is a different one⦠intense but in a diff way \n\nTLDR: Network like a crazy person. Preparation starts years before. Be likable. And most importantly⦠never give up.\n\nSTEP 1: I was working for a guy in NYC during the summer between year 1 & 2 at HBS. He spun out of GSS and started a PE firm⦠my job was to explain to LPs why money losing businesses like software and some alarm contract companies had great economics long term. This was 2012 when most people very skeptical of SaaS. This was right in my wheelhouse being a software entrepreneur before school. While I was in NYC I networked hard. MOST ignored me. I finally find a nice woman at SAC ⦠I bothered her soooo much she finally agreed to a coffee. No idea what she didā¦turned out she ran their TMT bus dev. We hit it off and she put me into their applicant pool for teams / PMs to review. Win. \n\nLesson: @pmarca was right on with the networking advice. If you canāt network your way to where you need to be⦠how can you be successful? You wonāt be\n\nI get back to Boston for year 2 and get a call saying there is a new team spinning up. They want me to formally interview for Boston office. Could I work and go to school? Damn right Iād figure it out. \n\nStep2. I go to the office and meet the PM⦠we will call him Big Mike. I went into their conference room and just talked with Big Mike. My background. My startups. Baseball. Was great. Then he slowly moved me into an almost verbal case study. $VMW was the big controversy at the time. We walked through the technology of hypervisors and VMs. How would I size an opportunity for VMs? What Big Mike didnāt know that I knew ā¦. there was new tech to squeeze more than 1 VM onto a standard server that was changing the industry. I was able to talk about the tech change happening from server silo to multiple machines on a single server. Was a HR. \n\nLesson: always be ready. I didnāt know I was getting a verbal case study. That was my only opportunity. Gotta be ready. Gotta seize it. \n\nStep 3: They pass me onto a senior analyst who is now one of the best TMT investors in multi strat land (currently yes). They gave me a modeling test. Basically a 3 statement excel with all the components messed up. I had 25 min. I didnāt do banking or PE⦠so I spent the whole fist year teaching myself this⦠I got everything organized in 20 min and everything was off by a factor of 10(?). I was like wtf. Big panic. With 1 minute to go I figured out the Revenue was in ASM and need to divide by the RASM (model turned out to be JETBLUE). Never looked at an airline before. The working capital was wonky also, good thing my test in accounting class that spring was this exact thing. Finished with 2 seconds left. Phew. HR was 130 easy. \n\nLesson: I spent a whole year waking up at 330am to teach myself financial modeling. Had no idea how it would pay off⦠it sure as hell did here in the 25 min I needed it. Do the work. \n\nStep4: I met the Boston office manager for another interview. More fit. He is legendary for his standing res at the Four Seasons. Was all about process and demands on the analysts. I had no idea what I was getting in toā¦\n\nLesson: You have to be likable. No one wants to work with someone that sucks even if a math phd HP machine. Especially in a high performance team \n\nBig Mike offered me the job after I did a couple projects for him. Amazing how the Lord works in our life. I look back and just like wow. It wasnāt fast. Had to beg my way in. But I never looked back. Steve was always good to me even as the lowest analyst on the totem pole. I think the best all time. GOAT.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982115148392481194","quoted_status_permalink":{"url":"https://t.co/QQ3cyMbSm9","expanded":"https://twitter.com/twoeggers/status/1982115148392481194","display":"x.com/twoeggers/statā¦"},"retweeted":false,"fact_check":null,"id":"1982115596473909529","view_count":51159,"bookmark_count":75,"created_at":1761408158000,"favorite_count":96,"quote_count":0,"reply_count":4,"retweet_count":1,"user_id_str":"129401455","conversation_id_str":"1982115596473909529","full_text":"Great context. Heard stories. 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Letās go. https://t.co/5lWGV5x1ne","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982425610443256164","quoted_status_permalink":{"url":"https://t.co/YCosGDhB7O","expanded":"https://twitter.com/blueprintsmb22/status/1982425610443256164","display":"x.com/blueprintsmb22ā¦"},"retweeted":false,"fact_check":null,"id":"1982442636335071719","view_count":74336,"bookmark_count":45,"created_at":1761486131000,"favorite_count":214,"quote_count":1,"reply_count":6,"retweet_count":2,"user_id_str":"129401455","conversation_id_str":"1982442636335071719","full_text":"Iāve been fortunate to be friends with Blue for over 10+ years. 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OpenAI shipped ChatGPT. And the smartest AI team in the world proved Gene Munster right: \"The classic team with all the talent that doesn't win the championship.\"\n\nWhat a time to be alive.. AI will have a profound impact on the world and here is arguable the most talented team in the world \"giving up\" on applying it to Financial markets... the article is clearly missing a lot of details but what can we assume? \n\nThree possibilities immediately come to mind:\n\n1. Finance is genuinely harder than protein folding: markets are adversarial, noisy, reflexive. Every edge decays. AlphaGo had clear rules... markets have none. Maybe the AI \"sometimes\" beat benchmarks in sims but couldn't survive real world chaos & regime shifts... hallucinations can kill a fund\n\n2. Hassabis saw the regulatory nightmare: an AI that can predict protein structures wins Nobels. An AI that trades billions triggers SEC investigations, flash crash inquiries, systemic risk concerns. Why fight that battle when you can \"solve intelligence\"? He just saw A BIGGER OPPORTUNITY in AGI (likely)\n\n3. The prosaic problem: the article says it all: when asked \"what's your product?\" Hassabis called it a \"prosaic question.\" Finance requires obsessive attention to execution, latency, risk management, compliance...all grubby (his word) details beneath someone chasing cosmic breakthroughs\n\nI think AI in the financial markets is the biggest opportunity of my lifetime.\nBut NOT because AI will replace traders or \"solve\" markets... because it solves the PROSAIC problems that actually kill funds\n\n1. Early Warning System\npost COVID markets are more violent and chaotic than ever... LIQUIDATION NATION is real. Human bandwidth is the bottleneck.. AI's will ingest: news streams, social sentiment, factor flows, macro regime shifts, custom alphas... ALL 24/7 in the future. \"Flag the liquidation anomaly before it cascades across subsectors\" Liquidation Nation isn't a meme....it's the new reality to understand for the next 10 years\n\n2. Data Synthesis\nThe \"drowning in data\" problem is real. You have...\n-10,000 news articles/day\n-real time factor performance\n-alternative data feeds\n-historical analogues\n- 10x more data based on diff strategies\nWho synthesizes this? A junior analyst? Good luck...\n\nAI doesn't just aggregate... it CONNECTS patterns humans miss. \"What macro regime are we in? What happened last time yields spiked 50bps in 3 days while momentum sold off?\" This is what our agent \"Stanley\" does. Custom trained on OUR factors, OUR data, time aware vectors. ChatGPT doesn't know what your \"Momentum Spread\" did yesterday... \n\nThe future is VERTICAL SPECIFIC AGENTS\n\n3. Build and Learn Faster:\n AI can generate + test hundreds of factor combinations automatically. \"Can I use LLMs to generate hypothesis driven factors that have statistical relevance? \"Yes. Agent analyzes market data ā picks top 20 factors ā computer validates ā agent suggests combos (\"what if we multiply these?\") ā pick winners ā explain why it works. Velocity matters.\nRegime detection > static models\n\n4. Vibe Coding:\nThe most underrated shift. \"No one is coming to save your job.\"\nThe fundamental investor who can't code is dead. The quant who only looks backward is dead. The analyst who thinks AI is \"just a tool\" is dead. Learn to vibe code. Ask the right questions. Let Claude Code execute. Let Stanley synthesize. Build your own tools. \n\nAI won't replace you...but an industry expert using AI will\n\nGoogleās top AI executive seeks the profound over profits and the āprosaicā | Reuters","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1756172724064399360","name":"Stephanie Guild, CFA","screen_name":"StephGuildNYC","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"StephGuildNYC","lang":"en","retweeted":false,"fact_check":null,"id":"1988772729345176051","view_count":419,"bookmark_count":0,"created_at":1762995342000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@StephGuildNYC Awesome Steph! Well put and šÆ agree","in_reply_to_user_id_str":"1756172724064399360","in_reply_to_status_id_str":"1988771764365668391","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,21],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1439976714","name":"Jeremy","screen_name":"jermvasquez","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"jermvasquez","lang":"en","retweeted":false,"fact_check":null,"id":"1988788310987403349","view_count":192,"bookmark_count":0,"created_at":1762999057000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@jermvasquez Awesome!","in_reply_to_user_id_str":"1439976714","in_reply_to_status_id_str":"1988786301156663387","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,44],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1943008646369034240","name":"Eric Schenck | Real Person Messaging","screen_name":"rpmessaging","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"rpmessaging","lang":"en","retweeted":false,"fact_check":null,"id":"1988765252884791317","view_count":205,"bookmark_count":0,"created_at":1762993560000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@rpmessaging A lot to figure out next decade","in_reply_to_user_id_str":"1943008646369034240","in_reply_to_status_id_str":"1988765151063888101","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,51],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1363379699368546305","name":"Malikaii.Mask","screen_name":"MalikaiiM","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"MalikaiiM","lang":"en","retweeted":false,"fact_check":null,"id":"1988785280783118799","view_count":75,"bookmark_count":0,"created_at":1762998335000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@MalikaiiM Thanks for the complimentā¦. Negative 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FRIDAY 11/14: Liquidation Nation edition... someone I respect asked me to start a Friday Factor series... lets try it out.. \n\nTo understand and operate in this regime of LIQUIDATION NATION... you need to understand factors. Not factors in the traditional sense....I'm talking about FLOW factors. Positioning factors. What's crowded. What's being puked. What's reversing mean.\n\nTHE LIQUIDATION SIGNATURE HAS BEEN SCREAMING for weeks (btw look at the NQZ5 volume between 6am-8am today) \n\nHere's what's actually happening:\n\nTHE PUKE: Quantum computing down -25% this week (!), Bitcoin miners -22%, AI power plays -21%. These aren't \"corrections\"... these are forced unwinds. Someone big got tapped from the Risk Ninjas, is underwater, and selling what they can, not what they want to\n\nTHE TELL: Look at the ZScores. Quantum computing at big negative Z means this move has been accelerating. AI power infrastructure? That's not price discovery. That's liquidation nation\n\nTHE CORRELATION BREAK: Korea Conglomerates +7.5%, Healthcare holding green all week, while crypto/quantum/uranium all nuking together. This ISN'T a macro selloff. This is SPECIFIC positioning getting blown out. Someone was long \"AI revolution 2.0\" basket and is actively degrossing / getting liquidated\n\nTHE HEDGE: Notice pharma/healthcare holding up? \"Make America Healthy Again\" at +4 Z-score? While speculative tech dies, defensive quality works. Classic hedge fund playbook: they're selling losers to cover, not selling winners\n\nTHE CROWDING INDICATOR: When you see this kind of Z-score dispersion, you're seeing crowded trades unwind in real-time. The factors moving like these Z moves don't just \"happen\" ...they happen when 50 funds hold the same \"theme\"\n\nBOTTOM LINE: \nIf you're holding big NEGATIVE ZScore positions on Monday thinking \"it can't go lower\"... you're the liquidity\n\nIf you're chasing BIG POSITIVE ZScore winners thinking \"momentum always works\"... you're late to a crowded trade that's about to get faded\n\nTHE ONLY WAY TO SURVIVE LIQUIDATION WAVES IS TO BE ANALYTICALLY RELENTLESS + INTELLECTUALLY DYNAMIC + ALWAYS ALWAYS MANAGE RISK\n\nNext Friday: we will talk spreads and risk management. Drop a comment on what you want to see and I will try to work it in\n\n{DATA}\n1. Weekly Top 10 / Bottom 10 Factors below\n2. Weekly Top 10 / Bottom 10 Z-SCORES below\n3. Top 10 / Bottom 10 Returns -> Z-SCORED","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,28],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1509008382060945410","name":"CRE Romans","screen_name":"creromans","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"creromans","lang":"en","retweeted":false,"fact_check":null,"id":"1989355768492273720","view_count":36,"bookmark_count":0,"created_at":1763134350000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988997777632956887","full_text":"@creromans Whatās the cause?","in_reply_to_user_id_str":"1509008382060945410","in_reply_to_status_id_str":"1988997777632956887","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-16","value":0,"startTime":1763164800000,"endTime":1763251200000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989417492582899872","quoted_status_permalink":{"url":"https://t.co/mEHn7fYWPJ","expanded":"https://twitter.com/artificialanlys/status/1989417492582899872","display":"x.com/artificialanlyā¦"},"retweeted":false,"fact_check":null,"id":"1989695111467278797","view_count":3189,"bookmark_count":14,"created_at":1763215255000,"favorite_count":13,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"Foundation model economics look increasingly āchallengedā as is. Weāre watching near zero switching costs meet marginal differentiation⦠GPT 5.1 gains just +2 points over GPT5 while cutting costs ~6%. BEARS will say massive capex, diminishing returns, inevitable price compression as capabilities converge.\n\nBULLS will say there are two worlds where this makes sense:\n\n1 Vertical integration where models become loss leaders for ecosystems⦠MSFT and GOOGL bundle into workspace, AAPL into devices. The margin lives in adjacent services, not the model itself. OAI pushing into chat / advertising / adult content is the tell to me\n\n2 Pure distribution moats⦠ChatGPTās 300M+ users mean even commoditized products win with scale. Think AWS commoditizing compute but owning the entire marketplace and (fees). OAI App Store?\n\nThe issue is a race to bottom happens when pure play API providers compete solely on price/performance⦠when no proprietary data moats emerge⦠when inference costs collapse faster than willingness to absorb fee increases \n\nThe GPT 5.1 update gives us incremental insight into the future⦠marginal intelligence gains, focus shifted to āpersonalityā and steering into an āecosystemā\n\nSustainable economics require either owning distribution or making the model a feature, not the product. Everything else is a commodity play with VC subsidized pricing until someone blinks or canāt get financing","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[17,52],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2798335405","name":"Cam Mackintosh","screen_name":"RelativInvestor","indices":[0,16]}]},"favorited":false,"in_reply_to_screen_name":"RelativInvestor","lang":"en","retweeted":false,"fact_check":null,"id":"1989702224499363907","view_count":53,"bookmark_count":0,"created_at":1763216951000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"@RelativInvestor Agreed. Big wave M&A coming imo","in_reply_to_user_id_str":"2798335405","in_reply_to_status_id_str":"1989701753755816445","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-17","value":0,"startTime":1763251200000,"endTime":1763337600000,"tweets":[{"bookmarked":false,"display_text_range":[14,122],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1779775861589504000","name":"sysls","screen_name":"systematicls","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"systematicls","lang":"en","retweeted":false,"fact_check":null,"id":"1990041698865660249","view_count":1237,"bookmark_count":2,"created_at":1763297888000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1990041117224824974","full_text":"@systematicls People could just skip all that⦠train on t1_returns and be faster to market ⦠speed is the name of the game","in_reply_to_user_id_str":"1779775861589504000","in_reply_to_status_id_str":"1990041117224824974","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2244127460","name":"Unemployed Capital Allocator","screen_name":"atelicinvest","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"atelicinvest","lang":"en","retweeted":false,"fact_check":null,"id":"1990035051069718923","view_count":532,"bookmark_count":0,"created_at":1763296303000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989924643034239201","full_text":"@atelicinvest Vibes have shifted","in_reply_to_user_id_str":"2244127460","in_reply_to_status_id_str":"1989924643034239201","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-18","value":0,"startTime":1763337600000,"endTime":1763424000000,"tweets":[]}],"nlikes":[{"label":"2025-10-19","value":1411,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979396139343622255","quoted_status_permalink":{"url":"https://t.co/NxRS4QeQMB","expanded":"https://twitter.com/lootdropcapital/status/1979396139343622255","display":"x.com/lootdropcapitaā¦"},"retweeted":false,"fact_check":null,"id":"1979502392677646532","view_count":802598,"bookmark_count":578,"created_at":1760785122000,"favorite_count":1067,"quote_count":10,"reply_count":37,"retweet_count":33,"user_id_str":"129401455","conversation_id_str":"1979502392677646532","full_text":"I did 3 rounds of interviews with BW. It was ⦠an āexperienceā \n\n1. Dinner -> seemed normal enough⦠I had no idea what to expect. Was at the top restaurant in Cambridge⦠anything we wanted. As a starving MBA, was a highlight. Invited to a debate after. \n\n2. 8 person debate. Objective was bring a ācontroversialā topic to debate. 3 I remember \n- āis the illusion of choice limiting for humansā\n- ākill 1 person to save 1m peopleā\n- mine⦠āshould the government regulate the internetā \n\nI love debate and donāt take much personal ⦠was intense and fun. \n\n3. I was then passed on to a psychologist in Canada? Asked me a serious of questions for 2 hours ok the phone. Iām trying to remember ⦠said the goal was to measure my brain and Frontal Cortex? This was close to 15 yrs ago. I found the questions kinda silly. How could some PHD understand me from a 2 hr call? \n\nAnyway they dinged me after round three. I guess my Frontal Cortex wasnāt developed or big enough. \n\nLots of BW lurkers on here ⦠and some public alum. 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For context, this is the firm thatās basically *the* gold standard in quant investing. My thought project this early morning is to piece together what happenedā¦because if RenTechās models break, that tells us something IMPORTANT about markets right now.\n\n*I found these attachments on the internet someone loaded up⦠could be made up or wrong. Letās assume they are rightā¦\n\nRIEF runs ~$20B, supposedly factor neutral, market neutral-ish, with 2.5x leverage. The strategy is automated statistical arbitrage across thousands of long/short positions. Beta target of 0.4 or lower. These guys donāt blow up. So what changed?\n\nHereās where it gets interesting. In Feb 2023, they modified their strategy. Old target: net $100 long per $100 equity. New target: āNOT be greater than $100 net long⦠but with NO OBJECTIVE that it not be less.ā\n\nWaitā¦.they removed the floor? Thatās a massive shift. It allows them to go net short or significantly reduce market exposure.\n\nLooking at their factor exposure analysis (stress testing docs), something jumps out: theyāre NOT actually factor neutral. The āManager Style Driftā chart shows S&P 500 exposure went from ~0 to 3+ sigma starting around 2020. Thatās⦠not neutral.\n\nDuring COVID-19 (Mar 2020), they had:\n\n- +2.21 S&P 500 exposure\n- -1.78 MSCI North America\n- Negative VIX exposure\n- Small cap and value growth tilts\n\nThese exposures are contradictory and suggest hidden factor bets that maybe even *they* didnāt fully recognize in their risk model. ORā¦. Models now take them on in short term alpha trades. \n\nThe correlation stress testing chart (bottom right in the docs) is particularly revealing. It shows correlations increase dramatically during stress periods meaning their hedges fail precisely when needed most. Classic quant nightmare. OR they are specifically taking on tilts. \n\nSo hereās my working theory on October 2025:\n\nAfter Feb 2023, they likely used their new flexibility to reduce net long exposure (or even go short). If you follow LIQUIDATION NATION it has been a factor bloodbath and historical moves⦠they could be:\n\n1. Underexposed to upside on longs\n1. Getting squeezed on shorts\n1. Watching āneutralā factors suddenly correlate\n\nWith 2.5x leverage, even a -6% strategy loss becomes -15%.\n\nAlt #2: This was a crowded trade unwind. If other quant funds were positioned similarly, forced liquidations could cascade. Market microstructure breaks down, liquidity evaporates, execution slippage compounds losses.\n\nAlt #3: They are running lower leverage and taking on FACTOR TIMING (how I think about the world.. maybe I am cope lol). \n\nAlt #4: Some option trade went haywire \n\nWhatās fascinating⦠is their models apparently didnāt see this coming. These are arguably the most sophisticated predictive models in finance, built by some of the smartest people in the world, with 30+ years of data and refinement.\n\nYet something in October 2025ās market structure was fundamentally different from their training data.\n\nQuestions Iām still thinking about:\n\n- Was this a regime change moment where historical factor relationships broke?\n- Did their factor definitions drift from market reality?\n- Was the Feb 2023 strategy change a mistake in hindsight?\n- Or was this just an unlucky tail event that any model would miss?\n\nThe humbling thing: if RenTechās models battle tested through multiple crashes, with the deepest talent pool in quantā¦.can get caught like this, what does that say about model risk more broadly?\n\nIām not trying to criticizeā¦genuinely trying to learn. When the best models fail, thereās usually a deep lesson about markets, risk, or regime change embedded in there.\n\nWould love to hear thoughts from other quant folks. What am I missing?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[{"indices":[1567,1571],"text":"VMW"}],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"5943622","name":"Marc Andreessen šŗšø","screen_name":"pmarca","indices":[976,983]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1979502392677646532","quoted_status_permalink":{"url":"https://t.co/aDL752rvGa","expanded":"https://twitter.com/jaredkubin/status/1979502392677646532","display":"x.com/jaredkubin/staā¦"},"retweeted":false,"fact_check":null,"id":"1982042903196111345","view_count":101979,"bookmark_count":329,"created_at":1761390827000,"favorite_count":353,"quote_count":0,"reply_count":8,"retweet_count":14,"user_id_str":"129401455","conversation_id_str":"1982042903196111345","full_text":"SAC Interview Process (circa 2012 so I am sure its diff now)\n\nOh boyā¦Since everyone liked the BW story⦠here is a different one⦠intense but in a diff way \n\nTLDR: Network like a crazy person. Preparation starts years before. Be likable. And most importantly⦠never give up.\n\nSTEP 1: I was working for a guy in NYC during the summer between year 1 & 2 at HBS. He spun out of GSS and started a PE firm⦠my job was to explain to LPs why money losing businesses like software and some alarm contract companies had great economics long term. This was 2012 when most people very skeptical of SaaS. This was right in my wheelhouse being a software entrepreneur before school. While I was in NYC I networked hard. MOST ignored me. I finally find a nice woman at SAC ⦠I bothered her soooo much she finally agreed to a coffee. No idea what she didā¦turned out she ran their TMT bus dev. We hit it off and she put me into their applicant pool for teams / PMs to review. Win. \n\nLesson: @pmarca was right on with the networking advice. If you canāt network your way to where you need to be⦠how can you be successful? You wonāt be\n\nI get back to Boston for year 2 and get a call saying there is a new team spinning up. They want me to formally interview for Boston office. Could I work and go to school? Damn right Iād figure it out. \n\nStep2. I go to the office and meet the PM⦠we will call him Big Mike. I went into their conference room and just talked with Big Mike. My background. My startups. Baseball. Was great. Then he slowly moved me into an almost verbal case study. $VMW was the big controversy at the time. We walked through the technology of hypervisors and VMs. How would I size an opportunity for VMs? What Big Mike didnāt know that I knew ā¦. there was new tech to squeeze more than 1 VM onto a standard server that was changing the industry. I was able to talk about the tech change happening from server silo to multiple machines on a single server. Was a HR. \n\nLesson: always be ready. I didnāt know I was getting a verbal case study. That was my only opportunity. Gotta be ready. Gotta seize it. \n\nStep 3: They pass me onto a senior analyst who is now one of the best TMT investors in multi strat land (currently yes). They gave me a modeling test. Basically a 3 statement excel with all the components messed up. I had 25 min. I didnāt do banking or PE⦠so I spent the whole fist year teaching myself this⦠I got everything organized in 20 min and everything was off by a factor of 10(?). I was like wtf. Big panic. With 1 minute to go I figured out the Revenue was in ASM and need to divide by the RASM (model turned out to be JETBLUE). Never looked at an airline before. The working capital was wonky also, good thing my test in accounting class that spring was this exact thing. Finished with 2 seconds left. Phew. HR was 130 easy. \n\nLesson: I spent a whole year waking up at 330am to teach myself financial modeling. Had no idea how it would pay off⦠it sure as hell did here in the 25 min I needed it. Do the work. \n\nStep4: I met the Boston office manager for another interview. More fit. He is legendary for his standing res at the Four Seasons. Was all about process and demands on the analysts. I had no idea what I was getting in toā¦\n\nLesson: You have to be likable. No one wants to work with someone that sucks even if a math phd HP machine. Especially in a high performance team \n\nBig Mike offered me the job after I did a couple projects for him. Amazing how the Lord works in our life. I look back and just like wow. It wasnāt fast. Had to beg my way in. But I never looked back. Steve was always good to me even as the lowest analyst on the totem pole. I think the best all time. GOAT.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982115148392481194","quoted_status_permalink":{"url":"https://t.co/QQ3cyMbSm9","expanded":"https://twitter.com/twoeggers/status/1982115148392481194","display":"x.com/twoeggers/statā¦"},"retweeted":false,"fact_check":null,"id":"1982115596473909529","view_count":51159,"bookmark_count":75,"created_at":1761408158000,"favorite_count":96,"quote_count":0,"reply_count":4,"retweet_count":1,"user_id_str":"129401455","conversation_id_str":"1982115596473909529","full_text":"Great context. Heard stories. 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Letās go. https://t.co/5lWGV5x1ne","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982425610443256164","quoted_status_permalink":{"url":"https://t.co/YCosGDhB7O","expanded":"https://twitter.com/blueprintsmb22/status/1982425610443256164","display":"x.com/blueprintsmb22ā¦"},"retweeted":false,"fact_check":null,"id":"1982442636335071719","view_count":74336,"bookmark_count":45,"created_at":1761486131000,"favorite_count":214,"quote_count":1,"reply_count":6,"retweet_count":2,"user_id_str":"129401455","conversation_id_str":"1982442636335071719","full_text":"Iāve been fortunate to be friends with Blue for over 10+ years. 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OpenAI shipped ChatGPT. And the smartest AI team in the world proved Gene Munster right: \"The classic team with all the talent that doesn't win the championship.\"\n\nWhat a time to be alive.. AI will have a profound impact on the world and here is arguable the most talented team in the world \"giving up\" on applying it to Financial markets... the article is clearly missing a lot of details but what can we assume? \n\nThree possibilities immediately come to mind:\n\n1. Finance is genuinely harder than protein folding: markets are adversarial, noisy, reflexive. Every edge decays. AlphaGo had clear rules... markets have none. Maybe the AI \"sometimes\" beat benchmarks in sims but couldn't survive real world chaos & regime shifts... hallucinations can kill a fund\n\n2. Hassabis saw the regulatory nightmare: an AI that can predict protein structures wins Nobels. An AI that trades billions triggers SEC investigations, flash crash inquiries, systemic risk concerns. Why fight that battle when you can \"solve intelligence\"? He just saw A BIGGER OPPORTUNITY in AGI (likely)\n\n3. The prosaic problem: the article says it all: when asked \"what's your product?\" Hassabis called it a \"prosaic question.\" Finance requires obsessive attention to execution, latency, risk management, compliance...all grubby (his word) details beneath someone chasing cosmic breakthroughs\n\nI think AI in the financial markets is the biggest opportunity of my lifetime.\nBut NOT because AI will replace traders or \"solve\" markets... because it solves the PROSAIC problems that actually kill funds\n\n1. Early Warning System\npost COVID markets are more violent and chaotic than ever... LIQUIDATION NATION is real. Human bandwidth is the bottleneck.. AI's will ingest: news streams, social sentiment, factor flows, macro regime shifts, custom alphas... ALL 24/7 in the future. \"Flag the liquidation anomaly before it cascades across subsectors\" Liquidation Nation isn't a meme....it's the new reality to understand for the next 10 years\n\n2. Data Synthesis\nThe \"drowning in data\" problem is real. You have...\n-10,000 news articles/day\n-real time factor performance\n-alternative data feeds\n-historical analogues\n- 10x more data based on diff strategies\nWho synthesizes this? A junior analyst? Good luck...\n\nAI doesn't just aggregate... it CONNECTS patterns humans miss. \"What macro regime are we in? What happened last time yields spiked 50bps in 3 days while momentum sold off?\" This is what our agent \"Stanley\" does. Custom trained on OUR factors, OUR data, time aware vectors. ChatGPT doesn't know what your \"Momentum Spread\" did yesterday... \n\nThe future is VERTICAL SPECIFIC AGENTS\n\n3. Build and Learn Faster:\n AI can generate + test hundreds of factor combinations automatically. \"Can I use LLMs to generate hypothesis driven factors that have statistical relevance? \"Yes. Agent analyzes market data ā picks top 20 factors ā computer validates ā agent suggests combos (\"what if we multiply these?\") ā pick winners ā explain why it works. Velocity matters.\nRegime detection > static models\n\n4. Vibe Coding:\nThe most underrated shift. \"No one is coming to save your job.\"\nThe fundamental investor who can't code is dead. The quant who only looks backward is dead. The analyst who thinks AI is \"just a tool\" is dead. Learn to vibe code. Ask the right questions. Let Claude Code execute. Let Stanley synthesize. Build your own tools. \n\nAI won't replace you...but an industry expert using AI will\n\nGoogleās top AI executive seeks the profound over profits and the āprosaicā | Reuters","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1756172724064399360","name":"Stephanie Guild, CFA","screen_name":"StephGuildNYC","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"StephGuildNYC","lang":"en","retweeted":false,"fact_check":null,"id":"1988772729345176051","view_count":419,"bookmark_count":0,"created_at":1762995342000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@StephGuildNYC Awesome Steph! Well put and šÆ agree","in_reply_to_user_id_str":"1756172724064399360","in_reply_to_status_id_str":"1988771764365668391","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,21],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1439976714","name":"Jeremy","screen_name":"jermvasquez","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"jermvasquez","lang":"en","retweeted":false,"fact_check":null,"id":"1988788310987403349","view_count":192,"bookmark_count":0,"created_at":1762999057000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@jermvasquez Awesome!","in_reply_to_user_id_str":"1439976714","in_reply_to_status_id_str":"1988786301156663387","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,44],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1943008646369034240","name":"Eric Schenck | Real Person Messaging","screen_name":"rpmessaging","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"rpmessaging","lang":"en","retweeted":false,"fact_check":null,"id":"1988765252884791317","view_count":205,"bookmark_count":0,"created_at":1762993560000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@rpmessaging A lot to figure out next decade","in_reply_to_user_id_str":"1943008646369034240","in_reply_to_status_id_str":"1988765151063888101","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,51],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1363379699368546305","name":"Malikaii.Mask","screen_name":"MalikaiiM","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"MalikaiiM","lang":"en","retweeted":false,"fact_check":null,"id":"1988785280783118799","view_count":75,"bookmark_count":0,"created_at":1762998335000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@MalikaiiM Thanks for the complimentā¦. Negative lol","in_reply_to_user_id_str":"1363379699368546305","in_reply_to_status_id_str":"1988784757040394540","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-15","value":221,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,274],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320206515093504","indices":[275,298],"media_key":"3_1989320206515093504","media_url_https":"https://pbs.twimg.com/media/G5t8MB3WwAAX7O1.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":630,"resize":"fit"},"medium":{"h":470,"w":630,"resize":"fit"},"small":{"h":470,"w":630,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":630,"focus_rects":[{"x":0,"y":0,"w":630,"h":353},{"x":160,"y":0,"w":470,"h":470},{"x":218,"y":0,"w":412,"h":470},{"x":339,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":630,"h":470}]},"media_results":{"result":{"media_key":"3_1989320206515093504"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320273355472896","indices":[275,298],"media_key":"3_1989320273355472896","media_url_https":"https://pbs.twimg.com/media/G5t8P63WAAAPX_-.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":626,"resize":"fit"},"medium":{"h":470,"w":626,"resize":"fit"},"small":{"h":470,"w":626,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":626,"focus_rects":[{"x":0,"y":0,"w":626,"h":351},{"x":31,"y":0,"w":470,"h":470},{"x":60,"y":0,"w":412,"h":470},{"x":149,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":626,"h":470}]},"media_results":{"result":{"media_key":"3_1989320273355472896"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320428431478784","indices":[275,298],"media_key":"3_1989320428431478784","media_url_https":"https://pbs.twimg.com/media/G5t8Y8kWEAAoL_Y.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":690,"resize":"fit"},"medium":{"h":470,"w":690,"resize":"fit"},"small":{"h":463,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":690,"focus_rects":[{"x":0,"y":0,"w":690,"h":386},{"x":220,"y":0,"w":470,"h":470},{"x":278,"y":0,"w":412,"h":470},{"x":452,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":690,"h":470}]},"media_results":{"result":{"media_key":"3_1989320428431478784"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320206515093504","indices":[275,298],"media_key":"3_1989320206515093504","media_url_https":"https://pbs.twimg.com/media/G5t8MB3WwAAX7O1.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":630,"resize":"fit"},"medium":{"h":470,"w":630,"resize":"fit"},"small":{"h":470,"w":630,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":630,"focus_rects":[{"x":0,"y":0,"w":630,"h":353},{"x":160,"y":0,"w":470,"h":470},{"x":218,"y":0,"w":412,"h":470},{"x":339,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":630,"h":470}]},"media_results":{"result":{"media_key":"3_1989320206515093504"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320273355472896","indices":[275,298],"media_key":"3_1989320273355472896","media_url_https":"https://pbs.twimg.com/media/G5t8P63WAAAPX_-.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":626,"resize":"fit"},"medium":{"h":470,"w":626,"resize":"fit"},"small":{"h":470,"w":626,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":626,"focus_rects":[{"x":0,"y":0,"w":626,"h":351},{"x":31,"y":0,"w":470,"h":470},{"x":60,"y":0,"w":412,"h":470},{"x":149,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":626,"h":470}]},"media_results":{"result":{"media_key":"3_1989320273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FRIDAY 11/14: Liquidation Nation edition... someone I respect asked me to start a Friday Factor series... lets try it out.. \n\nTo understand and operate in this regime of LIQUIDATION NATION... you need to understand factors. Not factors in the traditional sense....I'm talking about FLOW factors. Positioning factors. What's crowded. What's being puked. What's reversing mean.\n\nTHE LIQUIDATION SIGNATURE HAS BEEN SCREAMING for weeks (btw look at the NQZ5 volume between 6am-8am today) \n\nHere's what's actually happening:\n\nTHE PUKE: Quantum computing down -25% this week (!), Bitcoin miners -22%, AI power plays -21%. These aren't \"corrections\"... these are forced unwinds. Someone big got tapped from the Risk Ninjas, is underwater, and selling what they can, not what they want to\n\nTHE TELL: Look at the ZScores. Quantum computing at big negative Z means this move has been accelerating. AI power infrastructure? That's not price discovery. That's liquidation nation\n\nTHE CORRELATION BREAK: Korea Conglomerates +7.5%, Healthcare holding green all week, while crypto/quantum/uranium all nuking together. This ISN'T a macro selloff. This is SPECIFIC positioning getting blown out. Someone was long \"AI revolution 2.0\" basket and is actively degrossing / getting liquidated\n\nTHE HEDGE: Notice pharma/healthcare holding up? \"Make America Healthy Again\" at +4 Z-score? While speculative tech dies, defensive quality works. Classic hedge fund playbook: they're selling losers to cover, not selling winners\n\nTHE CROWDING INDICATOR: When you see this kind of Z-score dispersion, you're seeing crowded trades unwind in real-time. The factors moving like these Z moves don't just \"happen\" ...they happen when 50 funds hold the same \"theme\"\n\nBOTTOM LINE: \nIf you're holding big NEGATIVE ZScore positions on Monday thinking \"it can't go lower\"... you're the liquidity\n\nIf you're chasing BIG POSITIVE ZScore winners thinking \"momentum always works\"... you're late to a crowded trade that's about to get faded\n\nTHE ONLY WAY TO SURVIVE LIQUIDATION WAVES IS TO BE ANALYTICALLY RELENTLESS + INTELLECTUALLY DYNAMIC + ALWAYS ALWAYS MANAGE RISK\n\nNext Friday: we will talk spreads and risk management. Drop a comment on what you want to see and I will try to work it in\n\n{DATA}\n1. Weekly Top 10 / Bottom 10 Factors below\n2. Weekly Top 10 / Bottom 10 Z-SCORES below\n3. Top 10 / Bottom 10 Returns -> Z-SCORED","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,28],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1509008382060945410","name":"CRE Romans","screen_name":"creromans","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"creromans","lang":"en","retweeted":false,"fact_check":null,"id":"1989355768492273720","view_count":36,"bookmark_count":0,"created_at":1763134350000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988997777632956887","full_text":"@creromans Whatās the cause?","in_reply_to_user_id_str":"1509008382060945410","in_reply_to_status_id_str":"1988997777632956887","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-16","value":14,"startTime":1763164800000,"endTime":1763251200000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989417492582899872","quoted_status_permalink":{"url":"https://t.co/mEHn7fYWPJ","expanded":"https://twitter.com/artificialanlys/status/1989417492582899872","display":"x.com/artificialanlyā¦"},"retweeted":false,"fact_check":null,"id":"1989695111467278797","view_count":3189,"bookmark_count":14,"created_at":1763215255000,"favorite_count":13,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"Foundation model economics look increasingly āchallengedā as is. Weāre watching near zero switching costs meet marginal differentiation⦠GPT 5.1 gains just +2 points over GPT5 while cutting costs ~6%. BEARS will say massive capex, diminishing returns, inevitable price compression as capabilities converge.\n\nBULLS will say there are two worlds where this makes sense:\n\n1 Vertical integration where models become loss leaders for ecosystems⦠MSFT and GOOGL bundle into workspace, AAPL into devices. The margin lives in adjacent services, not the model itself. OAI pushing into chat / advertising / adult content is the tell to me\n\n2 Pure distribution moats⦠ChatGPTās 300M+ users mean even commoditized products win with scale. Think AWS commoditizing compute but owning the entire marketplace and (fees). OAI App Store?\n\nThe issue is a race to bottom happens when pure play API providers compete solely on price/performance⦠when no proprietary data moats emerge⦠when inference costs collapse faster than willingness to absorb fee increases \n\nThe GPT 5.1 update gives us incremental insight into the future⦠marginal intelligence gains, focus shifted to āpersonalityā and steering into an āecosystemā\n\nSustainable economics require either owning distribution or making the model a feature, not the product. Everything else is a commodity play with VC subsidized pricing until someone blinks or canāt get financing","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[17,52],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2798335405","name":"Cam Mackintosh","screen_name":"RelativInvestor","indices":[0,16]}]},"favorited":false,"in_reply_to_screen_name":"RelativInvestor","lang":"en","retweeted":false,"fact_check":null,"id":"1989702224499363907","view_count":53,"bookmark_count":0,"created_at":1763216951000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"@RelativInvestor Agreed. Big wave M&A coming imo","in_reply_to_user_id_str":"2798335405","in_reply_to_status_id_str":"1989701753755816445","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-17","value":3,"startTime":1763251200000,"endTime":1763337600000,"tweets":[{"bookmarked":false,"display_text_range":[14,122],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1779775861589504000","name":"sysls","screen_name":"systematicls","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"systematicls","lang":"en","retweeted":false,"fact_check":null,"id":"1990041698865660249","view_count":1237,"bookmark_count":2,"created_at":1763297888000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1990041117224824974","full_text":"@systematicls People could just skip all that⦠train on t1_returns and be faster to market ⦠speed is the name of the game","in_reply_to_user_id_str":"1779775861589504000","in_reply_to_status_id_str":"1990041117224824974","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2244127460","name":"Unemployed Capital Allocator","screen_name":"atelicinvest","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"atelicinvest","lang":"en","retweeted":false,"fact_check":null,"id":"1990035051069718923","view_count":532,"bookmark_count":0,"created_at":1763296303000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989924643034239201","full_text":"@atelicinvest Vibes have shifted","in_reply_to_user_id_str":"2244127460","in_reply_to_status_id_str":"1989924643034239201","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-18","value":0,"startTime":1763337600000,"endTime":1763424000000,"tweets":[]}],"nviews":[{"label":"2025-10-19","value":1051963,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979396139343622255","quoted_status_permalink":{"url":"https://t.co/NxRS4QeQMB","expanded":"https://twitter.com/lootdropcapital/status/1979396139343622255","display":"x.com/lootdropcapitaā¦"},"retweeted":false,"fact_check":null,"id":"1979502392677646532","view_count":802598,"bookmark_count":578,"created_at":1760785122000,"favorite_count":1067,"quote_count":10,"reply_count":37,"retweet_count":33,"user_id_str":"129401455","conversation_id_str":"1979502392677646532","full_text":"I did 3 rounds of interviews with BW. It was ⦠an āexperienceā \n\n1. Dinner -> seemed normal enough⦠I had no idea what to expect. Was at the top restaurant in Cambridge⦠anything we wanted. As a starving MBA, was a highlight. Invited to a debate after. \n\n2. 8 person debate. Objective was bring a ācontroversialā topic to debate. 3 I remember \n- āis the illusion of choice limiting for humansā\n- ākill 1 person to save 1m peopleā\n- mine⦠āshould the government regulate the internetā \n\nI love debate and donāt take much personal ⦠was intense and fun. \n\n3. I was then passed on to a psychologist in Canada? Asked me a serious of questions for 2 hours ok the phone. Iām trying to remember ⦠said the goal was to measure my brain and Frontal Cortex? This was close to 15 yrs ago. I found the questions kinda silly. How could some PHD understand me from a 2 hr call? \n\nAnyway they dinged me after round three. I guess my Frontal Cortex wasnāt developed or big enough. \n\nLots of BW lurkers on here ⦠and some public alum. 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For context, this is the firm thatās basically *the* gold standard in quant investing. My thought project this early morning is to piece together what happenedā¦because if RenTechās models break, that tells us something IMPORTANT about markets right now.\n\n*I found these attachments on the internet someone loaded up⦠could be made up or wrong. Letās assume they are rightā¦\n\nRIEF runs ~$20B, supposedly factor neutral, market neutral-ish, with 2.5x leverage. The strategy is automated statistical arbitrage across thousands of long/short positions. Beta target of 0.4 or lower. These guys donāt blow up. So what changed?\n\nHereās where it gets interesting. In Feb 2023, they modified their strategy. Old target: net $100 long per $100 equity. New target: āNOT be greater than $100 net long⦠but with NO OBJECTIVE that it not be less.ā\n\nWaitā¦.they removed the floor? Thatās a massive shift. It allows them to go net short or significantly reduce market exposure.\n\nLooking at their factor exposure analysis (stress testing docs), something jumps out: theyāre NOT actually factor neutral. The āManager Style Driftā chart shows S&P 500 exposure went from ~0 to 3+ sigma starting around 2020. Thatās⦠not neutral.\n\nDuring COVID-19 (Mar 2020), they had:\n\n- +2.21 S&P 500 exposure\n- -1.78 MSCI North America\n- Negative VIX exposure\n- Small cap and value growth tilts\n\nThese exposures are contradictory and suggest hidden factor bets that maybe even *they* didnāt fully recognize in their risk model. ORā¦. Models now take them on in short term alpha trades. \n\nThe correlation stress testing chart (bottom right in the docs) is particularly revealing. It shows correlations increase dramatically during stress periods meaning their hedges fail precisely when needed most. Classic quant nightmare. OR they are specifically taking on tilts. \n\nSo hereās my working theory on October 2025:\n\nAfter Feb 2023, they likely used their new flexibility to reduce net long exposure (or even go short). If you follow LIQUIDATION NATION it has been a factor bloodbath and historical moves⦠they could be:\n\n1. Underexposed to upside on longs\n1. Getting squeezed on shorts\n1. Watching āneutralā factors suddenly correlate\n\nWith 2.5x leverage, even a -6% strategy loss becomes -15%.\n\nAlt #2: This was a crowded trade unwind. If other quant funds were positioned similarly, forced liquidations could cascade. Market microstructure breaks down, liquidity evaporates, execution slippage compounds losses.\n\nAlt #3: They are running lower leverage and taking on FACTOR TIMING (how I think about the world.. maybe I am cope lol). \n\nAlt #4: Some option trade went haywire \n\nWhatās fascinating⦠is their models apparently didnāt see this coming. These are arguably the most sophisticated predictive models in finance, built by some of the smartest people in the world, with 30+ years of data and refinement.\n\nYet something in October 2025ās market structure was fundamentally different from their training data.\n\nQuestions Iām still thinking about:\n\n- Was this a regime change moment where historical factor relationships broke?\n- Did their factor definitions drift from market reality?\n- Was the Feb 2023 strategy change a mistake in hindsight?\n- Or was this just an unlucky tail event that any model would miss?\n\nThe humbling thing: if RenTechās models battle tested through multiple crashes, with the deepest talent pool in quantā¦.can get caught like this, what does that say about model risk more broadly?\n\nIām not trying to criticizeā¦genuinely trying to learn. When the best models fail, thereās usually a deep lesson about markets, risk, or regime change embedded in there.\n\nWould love to hear thoughts from other quant folks. What am I missing?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[{"indices":[1567,1571],"text":"VMW"}],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"5943622","name":"Marc Andreessen šŗšø","screen_name":"pmarca","indices":[976,983]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1979502392677646532","quoted_status_permalink":{"url":"https://t.co/aDL752rvGa","expanded":"https://twitter.com/jaredkubin/status/1979502392677646532","display":"x.com/jaredkubin/staā¦"},"retweeted":false,"fact_check":null,"id":"1982042903196111345","view_count":101979,"bookmark_count":329,"created_at":1761390827000,"favorite_count":353,"quote_count":0,"reply_count":8,"retweet_count":14,"user_id_str":"129401455","conversation_id_str":"1982042903196111345","full_text":"SAC Interview Process (circa 2012 so I am sure its diff now)\n\nOh boyā¦Since everyone liked the BW story⦠here is a different one⦠intense but in a diff way \n\nTLDR: Network like a crazy person. Preparation starts years before. Be likable. And most importantly⦠never give up.\n\nSTEP 1: I was working for a guy in NYC during the summer between year 1 & 2 at HBS. He spun out of GSS and started a PE firm⦠my job was to explain to LPs why money losing businesses like software and some alarm contract companies had great economics long term. This was 2012 when most people very skeptical of SaaS. This was right in my wheelhouse being a software entrepreneur before school. While I was in NYC I networked hard. MOST ignored me. I finally find a nice woman at SAC ⦠I bothered her soooo much she finally agreed to a coffee. No idea what she didā¦turned out she ran their TMT bus dev. We hit it off and she put me into their applicant pool for teams / PMs to review. Win. \n\nLesson: @pmarca was right on with the networking advice. If you canāt network your way to where you need to be⦠how can you be successful? You wonāt be\n\nI get back to Boston for year 2 and get a call saying there is a new team spinning up. They want me to formally interview for Boston office. Could I work and go to school? Damn right Iād figure it out. \n\nStep2. I go to the office and meet the PM⦠we will call him Big Mike. I went into their conference room and just talked with Big Mike. My background. My startups. Baseball. Was great. Then he slowly moved me into an almost verbal case study. $VMW was the big controversy at the time. We walked through the technology of hypervisors and VMs. How would I size an opportunity for VMs? What Big Mike didnāt know that I knew ā¦. there was new tech to squeeze more than 1 VM onto a standard server that was changing the industry. I was able to talk about the tech change happening from server silo to multiple machines on a single server. Was a HR. \n\nLesson: always be ready. I didnāt know I was getting a verbal case study. That was my only opportunity. Gotta be ready. Gotta seize it. \n\nStep 3: They pass me onto a senior analyst who is now one of the best TMT investors in multi strat land (currently yes). They gave me a modeling test. Basically a 3 statement excel with all the components messed up. I had 25 min. I didnāt do banking or PE⦠so I spent the whole fist year teaching myself this⦠I got everything organized in 20 min and everything was off by a factor of 10(?). I was like wtf. Big panic. With 1 minute to go I figured out the Revenue was in ASM and need to divide by the RASM (model turned out to be JETBLUE). Never looked at an airline before. The working capital was wonky also, good thing my test in accounting class that spring was this exact thing. Finished with 2 seconds left. Phew. HR was 130 easy. \n\nLesson: I spent a whole year waking up at 330am to teach myself financial modeling. Had no idea how it would pay off⦠it sure as hell did here in the 25 min I needed it. Do the work. \n\nStep4: I met the Boston office manager for another interview. More fit. He is legendary for his standing res at the Four Seasons. Was all about process and demands on the analysts. I had no idea what I was getting in toā¦\n\nLesson: You have to be likable. No one wants to work with someone that sucks even if a math phd HP machine. Especially in a high performance team \n\nBig Mike offered me the job after I did a couple projects for him. Amazing how the Lord works in our life. I look back and just like wow. It wasnāt fast. Had to beg my way in. But I never looked back. Steve was always good to me even as the lowest analyst on the totem pole. I think the best all time. GOAT.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982115148392481194","quoted_status_permalink":{"url":"https://t.co/QQ3cyMbSm9","expanded":"https://twitter.com/twoeggers/status/1982115148392481194","display":"x.com/twoeggers/statā¦"},"retweeted":false,"fact_check":null,"id":"1982115596473909529","view_count":51159,"bookmark_count":75,"created_at":1761408158000,"favorite_count":96,"quote_count":0,"reply_count":4,"retweet_count":1,"user_id_str":"129401455","conversation_id_str":"1982115596473909529","full_text":"Great context. Heard stories. 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Letās go. https://t.co/5lWGV5x1ne","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982425610443256164","quoted_status_permalink":{"url":"https://t.co/YCosGDhB7O","expanded":"https://twitter.com/blueprintsmb22/status/1982425610443256164","display":"x.com/blueprintsmb22ā¦"},"retweeted":false,"fact_check":null,"id":"1982442636335071719","view_count":74336,"bookmark_count":45,"created_at":1761486131000,"favorite_count":214,"quote_count":1,"reply_count":6,"retweet_count":2,"user_id_str":"129401455","conversation_id_str":"1982442636335071719","full_text":"Iāve been fortunate to be friends with Blue for over 10+ years. 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OpenAI shipped ChatGPT. And the smartest AI team in the world proved Gene Munster right: \"The classic team with all the talent that doesn't win the championship.\"\n\nWhat a time to be alive.. AI will have a profound impact on the world and here is arguable the most talented team in the world \"giving up\" on applying it to Financial markets... the article is clearly missing a lot of details but what can we assume? \n\nThree possibilities immediately come to mind:\n\n1. Finance is genuinely harder than protein folding: markets are adversarial, noisy, reflexive. Every edge decays. AlphaGo had clear rules... markets have none. Maybe the AI \"sometimes\" beat benchmarks in sims but couldn't survive real world chaos & regime shifts... hallucinations can kill a fund\n\n2. Hassabis saw the regulatory nightmare: an AI that can predict protein structures wins Nobels. An AI that trades billions triggers SEC investigations, flash crash inquiries, systemic risk concerns. Why fight that battle when you can \"solve intelligence\"? He just saw A BIGGER OPPORTUNITY in AGI (likely)\n\n3. The prosaic problem: the article says it all: when asked \"what's your product?\" Hassabis called it a \"prosaic question.\" Finance requires obsessive attention to execution, latency, risk management, compliance...all grubby (his word) details beneath someone chasing cosmic breakthroughs\n\nI think AI in the financial markets is the biggest opportunity of my lifetime.\nBut NOT because AI will replace traders or \"solve\" markets... because it solves the PROSAIC problems that actually kill funds\n\n1. Early Warning System\npost COVID markets are more violent and chaotic than ever... LIQUIDATION NATION is real. Human bandwidth is the bottleneck.. AI's will ingest: news streams, social sentiment, factor flows, macro regime shifts, custom alphas... ALL 24/7 in the future. \"Flag the liquidation anomaly before it cascades across subsectors\" Liquidation Nation isn't a meme....it's the new reality to understand for the next 10 years\n\n2. Data Synthesis\nThe \"drowning in data\" problem is real. You have...\n-10,000 news articles/day\n-real time factor performance\n-alternative data feeds\n-historical analogues\n- 10x more data based on diff strategies\nWho synthesizes this? A junior analyst? Good luck...\n\nAI doesn't just aggregate... it CONNECTS patterns humans miss. \"What macro regime are we in? What happened last time yields spiked 50bps in 3 days while momentum sold off?\" This is what our agent \"Stanley\" does. Custom trained on OUR factors, OUR data, time aware vectors. ChatGPT doesn't know what your \"Momentum Spread\" did yesterday... \n\nThe future is VERTICAL SPECIFIC AGENTS\n\n3. Build and Learn Faster:\n AI can generate + test hundreds of factor combinations automatically. \"Can I use LLMs to generate hypothesis driven factors that have statistical relevance? \"Yes. Agent analyzes market data ā picks top 20 factors ā computer validates ā agent suggests combos (\"what if we multiply these?\") ā pick winners ā explain why it works. Velocity matters.\nRegime detection > static models\n\n4. Vibe Coding:\nThe most underrated shift. \"No one is coming to save your job.\"\nThe fundamental investor who can't code is dead. The quant who only looks backward is dead. The analyst who thinks AI is \"just a tool\" is dead. Learn to vibe code. Ask the right questions. Let Claude Code execute. Let Stanley synthesize. 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FRIDAY 11/14: Liquidation Nation edition... someone I respect asked me to start a Friday Factor series... lets try it out.. \n\nTo understand and operate in this regime of LIQUIDATION NATION... you need to understand factors. 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Weāre watching near zero switching costs meet marginal differentiation⦠GPT 5.1 gains just +2 points over GPT5 while cutting costs ~6%. BEARS will say massive capex, diminishing returns, inevitable price compression as capabilities converge.\n\nBULLS will say there are two worlds where this makes sense:\n\n1 Vertical integration where models become loss leaders for ecosystems⦠MSFT and GOOGL bundle into workspace, AAPL into devices. The margin lives in adjacent services, not the model itself. OAI pushing into chat / advertising / adult content is the tell to me\n\n2 Pure distribution moats⦠ChatGPTās 300M+ users mean even commoditized products win with scale. Think AWS commoditizing compute but owning the entire marketplace and (fees). OAI App Store?\n\nThe issue is a race to bottom happens when pure play API providers compete solely on price/performance⦠when no proprietary data moats emerge⦠when inference costs collapse faster than willingness to absorb fee increases \n\nThe GPT 5.1 update gives us incremental insight into the future⦠marginal intelligence gains, focus shifted to āpersonalityā and steering into an āecosystemā\n\nSustainable economics require either owning distribution or making the model a feature, not the product. 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Big wave M&A coming imo","in_reply_to_user_id_str":"2798335405","in_reply_to_status_id_str":"1989701753755816445","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-17","value":1769,"startTime":1763251200000,"endTime":1763337600000,"tweets":[{"bookmarked":false,"display_text_range":[14,122],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1779775861589504000","name":"sysls","screen_name":"systematicls","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"systematicls","lang":"en","retweeted":false,"fact_check":null,"id":"1990041698865660249","view_count":1237,"bookmark_count":2,"created_at":1763297888000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1990041117224824974","full_text":"@systematicls People could just skip all that⦠train on t1_returns and be faster to market ⦠speed is the name of the game","in_reply_to_user_id_str":"1779775861589504000","in_reply_to_status_id_str":"1990041117224824974","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2244127460","name":"Unemployed Capital Allocator","screen_name":"atelicinvest","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"atelicinvest","lang":"en","retweeted":false,"fact_check":null,"id":"1990035051069718923","view_count":532,"bookmark_count":0,"created_at":1763296303000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989924643034239201","full_text":"@atelicinvest Vibes have shifted","in_reply_to_user_id_str":"2244127460","in_reply_to_status_id_str":"1989924643034239201","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-18","value":0,"startTime":1763337600000,"endTime":1763424000000,"tweets":[]}]},"interactions":{"users":[{"created_at":1516975768000,"uid":"956891845337997313","id":"956891845337997313","screen_name":"WilliamMankivs1","name":"William Mankivsky","friends_count":722,"followers_count":1510,"profile_image_url_https":"https://pbs.twimg.com/profile_images/963604501541335040/6ytBwIhr_normal.jpg","description":"Husband and father; Lifelong learner; Bostonian but Chicagoan at heart...Benet, Hillsdale, U of Chicago, Fidelity/Harvard Management /Adage Capital Partner","entities":{"description":{"urls":[]}},"interactions":1},{"created_at":1351533556000,"uid":"912932546","id":"912932546","screen_name":"obsidiancap1","name":"obsidian capital","friends_count":948,"followers_count":4952,"profile_image_url_https":"https://pbs.twimg.com/profile_images/378800000826896274/cc5e94e81d6b16e65bf89962b214175b_normal.jpeg","description":"LO technology investor","entities":{"description":{"urls":[]}},"interactions":1},{"created_at":1485804207000,"uid":"826148841984499713","id":"826148841984499713","screen_name":"Schecter_Six","name":"Max","friends_count":890,"followers_count":1892,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1521218680398483460/x7sB2SQ6_normal.jpg","description":"Sharing thoughts about human behavior, data driven trade ideas, and the occasional guitar riff. 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For context, this is the firm thatās basically *the* gold standard in quant investing. My thought project this early morning is to piece together what happenedā¦because if RenTechās models break, that tells us something IMPORTANT about markets right now.\n\n*I found these attachments on the internet someone loaded up⦠could be made up or wrong. Letās assume they are rightā¦\n\nRIEF runs ~$20B, supposedly factor neutral, market neutral-ish, with 2.5x leverage. The strategy is automated statistical arbitrage across thousands of long/short positions. Beta target of 0.4 or lower. These guys donāt blow up. So what changed?\n\nHereās where it gets interesting. In Feb 2023, they modified their strategy. Old target: net $100 long per $100 equity. New target: āNOT be greater than $100 net long⦠but with NO OBJECTIVE that it not be less.ā\n\nWaitā¦.they removed the floor? Thatās a massive shift. It allows them to go net short or significantly reduce market exposure.\n\nLooking at their factor exposure analysis (stress testing docs), something jumps out: theyāre NOT actually factor neutral. The āManager Style Driftā chart shows S&P 500 exposure went from ~0 to 3+ sigma starting around 2020. Thatās⦠not neutral.\n\nDuring COVID-19 (Mar 2020), they had:\n\n- +2.21 S&P 500 exposure\n- -1.78 MSCI North America\n- Negative VIX exposure\n- Small cap and value growth tilts\n\nThese exposures are contradictory and suggest hidden factor bets that maybe even *they* didnāt fully recognize in their risk model. ORā¦. Models now take them on in short term alpha trades. \n\nThe correlation stress testing chart (bottom right in the docs) is particularly revealing. It shows correlations increase dramatically during stress periods meaning their hedges fail precisely when needed most. Classic quant nightmare. OR they are specifically taking on tilts. \n\nSo hereās my working theory on October 2025:\n\nAfter Feb 2023, they likely used their new flexibility to reduce net long exposure (or even go short). If you follow LIQUIDATION NATION it has been a factor bloodbath and historical moves⦠they could be:\n\n1. Underexposed to upside on longs\n1. Getting squeezed on shorts\n1. Watching āneutralā factors suddenly correlate\n\nWith 2.5x leverage, even a -6% strategy loss becomes -15%.\n\nAlt #2: This was a crowded trade unwind. If other quant funds were positioned similarly, forced liquidations could cascade. Market microstructure breaks down, liquidity evaporates, execution slippage compounds losses.\n\nAlt #3: They are running lower leverage and taking on FACTOR TIMING (how I think about the world.. maybe I am cope lol). \n\nAlt #4: Some option trade went haywire \n\nWhatās fascinating⦠is their models apparently didnāt see this coming. These are arguably the most sophisticated predictive models in finance, built by some of the smartest people in the world, with 30+ years of data and refinement.\n\nYet something in October 2025ās market structure was fundamentally different from their training data.\n\nQuestions Iām still thinking about:\n\n- Was this a regime change moment where historical factor relationships broke?\n- Did their factor definitions drift from market reality?\n- Was the Feb 2023 strategy change a mistake in hindsight?\n- Or was this just an unlucky tail event that any model would miss?\n\nThe humbling thing: if RenTechās models battle tested through multiple crashes, with the deepest talent pool in quantā¦.can get caught like this, what does that say about model risk more broadly?\n\nIām not trying to criticizeā¦genuinely trying to learn. When the best models fail, thereās usually a deep lesson about markets, risk, or regime change embedded in there.\n\nWould love to hear thoughts from other quant folks. 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Preparation starts years before. Be likable. And most importantly⦠never give up.\n\nSTEP 1: I was working for a guy in NYC during the summer between year 1 & 2 at HBS. He spun out of GSS and started a PE firm⦠my job was to explain to LPs why money losing businesses like software and some alarm contract companies had great economics long term. This was 2012 when most people very skeptical of SaaS. This was right in my wheelhouse being a software entrepreneur before school. While I was in NYC I networked hard. MOST ignored me. I finally find a nice woman at SAC ⦠I bothered her soooo much she finally agreed to a coffee. No idea what she didā¦turned out she ran their TMT bus dev. We hit it off and she put me into their applicant pool for teams / PMs to review. Win. \n\nLesson: @pmarca was right on with the networking advice. If you canāt network your way to where you need to be⦠how can you be successful? You wonāt be\n\nI get back to Boston for year 2 and get a call saying there is a new team spinning up. They want me to formally interview for Boston office. Could I work and go to school? Damn right Iād figure it out. \n\nStep2. I go to the office and meet the PM⦠we will call him Big Mike. I went into their conference room and just talked with Big Mike. My background. My startups. Baseball. Was great. Then he slowly moved me into an almost verbal case study. $VMW was the big controversy at the time. We walked through the technology of hypervisors and VMs. How would I size an opportunity for VMs? What Big Mike didnāt know that I knew ā¦. there was new tech to squeeze more than 1 VM onto a standard server that was changing the industry. I was able to talk about the tech change happening from server silo to multiple machines on a single server. Was a HR. \n\nLesson: always be ready. I didnāt know I was getting a verbal case study. That was my only opportunity. Gotta be ready. Gotta seize it. \n\nStep 3: They pass me onto a senior analyst who is now one of the best TMT investors in multi strat land (currently yes). They gave me a modeling test. Basically a 3 statement excel with all the components messed up. I had 25 min. I didnāt do banking or PE⦠so I spent the whole fist year teaching myself this⦠I got everything organized in 20 min and everything was off by a factor of 10(?). I was like wtf. Big panic. With 1 minute to go I figured out the Revenue was in ASM and need to divide by the RASM (model turned out to be JETBLUE). Never looked at an airline before. The working capital was wonky also, good thing my test in accounting class that spring was this exact thing. Finished with 2 seconds left. Phew. HR was 130 easy. \n\nLesson: I spent a whole year waking up at 330am to teach myself financial modeling. Had no idea how it would pay off⦠it sure as hell did here in the 25 min I needed it. Do the work. \n\nStep4: I met the Boston office manager for another interview. More fit. He is legendary for his standing res at the Four Seasons. Was all about process and demands on the analysts. I had no idea what I was getting in toā¦\n\nLesson: You have to be likable. No one wants to work with someone that sucks even if a math phd HP machine. Especially in a high performance team \n\nBig Mike offered me the job after I did a couple projects for him. Amazing how the Lord works in our life. I look back and just like wow. It wasnāt fast. Had to beg my way in. But I never looked back. Steve was always good to me even as the lowest analyst on the totem pole. I think the best all time. 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OpenAI shipped ChatGPT. And the smartest AI team in the world proved Gene Munster right: \"The classic team with all the talent that doesn't win the championship.\"\n\nWhat a time to be alive.. AI will have a profound impact on the world and here is arguable the most talented team in the world \"giving up\" on applying it to Financial markets... the article is clearly missing a lot of details but what can we assume? \n\nThree possibilities immediately come to mind:\n\n1. Finance is genuinely harder than protein folding: markets are adversarial, noisy, reflexive. Every edge decays. AlphaGo had clear rules... markets have none. Maybe the AI \"sometimes\" beat benchmarks in sims but couldn't survive real world chaos & regime shifts... hallucinations can kill a fund\n\n2. Hassabis saw the regulatory nightmare: an AI that can predict protein structures wins Nobels. An AI that trades billions triggers SEC investigations, flash crash inquiries, systemic risk concerns. Why fight that battle when you can \"solve intelligence\"? He just saw A BIGGER OPPORTUNITY in AGI (likely)\n\n3. The prosaic problem: the article says it all: when asked \"what's your product?\" Hassabis called it a \"prosaic question.\" Finance requires obsessive attention to execution, latency, risk management, compliance...all grubby (his word) details beneath someone chasing cosmic breakthroughs\n\nI think AI in the financial markets is the biggest opportunity of my lifetime.\nBut NOT because AI will replace traders or \"solve\" markets... because it solves the PROSAIC problems that actually kill funds\n\n1. Early Warning System\npost COVID markets are more violent and chaotic than ever... LIQUIDATION NATION is real. Human bandwidth is the bottleneck.. AI's will ingest: news streams, social sentiment, factor flows, macro regime shifts, custom alphas... ALL 24/7 in the future. \"Flag the liquidation anomaly before it cascades across subsectors\" Liquidation Nation isn't a meme....it's the new reality to understand for the next 10 years\n\n2. Data Synthesis\nThe \"drowning in data\" problem is real. You have...\n-10,000 news articles/day\n-real time factor performance\n-alternative data feeds\n-historical analogues\n- 10x more data based on diff strategies\nWho synthesizes this? A junior analyst? Good luck...\n\nAI doesn't just aggregate... it CONNECTS patterns humans miss. \"What macro regime are we in? What happened last time yields spiked 50bps in 3 days while momentum sold off?\" This is what our agent \"Stanley\" does. Custom trained on OUR factors, OUR data, time aware vectors. ChatGPT doesn't know what your \"Momentum Spread\" did yesterday... \n\nThe future is VERTICAL SPECIFIC AGENTS\n\n3. Build and Learn Faster:\n AI can generate + test hundreds of factor combinations automatically. \"Can I use LLMs to generate hypothesis driven factors that have statistical relevance? \"Yes. Agent analyzes market data ā picks top 20 factors ā computer validates ā agent suggests combos (\"what if we multiply these?\") ā pick winners ā explain why it works. Velocity matters.\nRegime detection > static models\n\n4. Vibe Coding:\nThe most underrated shift. \"No one is coming to save your job.\"\nThe fundamental investor who can't code is dead. The quant who only looks backward is dead. The analyst who thinks AI is \"just a tool\" is dead. Learn to vibe code. Ask the right questions. Let Claude Code execute. Let Stanley synthesize. Build your own tools. \n\nAI won't replace you...but an industry expert using AI will\n\nGoogleās top AI executive seeks the profound over profits and the āprosaicā | Reuters","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1756172724064399360","name":"Stephanie Guild, CFA","screen_name":"StephGuildNYC","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"StephGuildNYC","lang":"en","retweeted":false,"fact_check":null,"id":"1988772729345176051","view_count":419,"bookmark_count":0,"created_at":1762995342000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@StephGuildNYC Awesome Steph! Well put and šÆ agree","in_reply_to_user_id_str":"1756172724064399360","in_reply_to_status_id_str":"1988771764365668391","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,21],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1439976714","name":"Jeremy","screen_name":"jermvasquez","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"jermvasquez","lang":"en","retweeted":false,"fact_check":null,"id":"1988788310987403349","view_count":192,"bookmark_count":0,"created_at":1762999057000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@jermvasquez Awesome!","in_reply_to_user_id_str":"1439976714","in_reply_to_status_id_str":"1988786301156663387","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,44],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1943008646369034240","name":"Eric Schenck | Real Person Messaging","screen_name":"rpmessaging","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"rpmessaging","lang":"en","retweeted":false,"fact_check":null,"id":"1988765252884791317","view_count":205,"bookmark_count":0,"created_at":1762993560000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@rpmessaging A lot to figure out next decade","in_reply_to_user_id_str":"1943008646369034240","in_reply_to_status_id_str":"1988765151063888101","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,51],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1363379699368546305","name":"Malikaii.Mask","screen_name":"MalikaiiM","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"MalikaiiM","lang":"en","retweeted":false,"fact_check":null,"id":"1988785280783118799","view_count":75,"bookmark_count":0,"created_at":1762998335000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@MalikaiiM Thanks for the complimentā¦. Negative lol","in_reply_to_user_id_str":"1363379699368546305","in_reply_to_status_id_str":"1988784757040394540","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-15","value":19,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,274],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320206515093504","indices":[275,298],"media_key":"3_1989320206515093504","media_url_https":"https://pbs.twimg.com/media/G5t8MB3WwAAX7O1.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":630,"resize":"fit"},"medium":{"h":470,"w":630,"resize":"fit"},"small":{"h":470,"w":630,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":630,"focus_rects":[{"x":0,"y":0,"w":630,"h":353},{"x":160,"y":0,"w":470,"h":470},{"x":218,"y":0,"w":412,"h":470},{"x":339,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":630,"h":470}]},"media_results":{"result":{"media_key":"3_1989320206515093504"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320273355472896","indices":[275,298],"media_key":"3_1989320273355472896","media_url_https":"https://pbs.twimg.com/media/G5t8P63WAAAPX_-.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":626,"resize":"fit"},"medium":{"h":470,"w":626,"resize":"fit"},"small":{"h":470,"w":626,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":626,"focus_rects":[{"x":0,"y":0,"w":626,"h":351},{"x":31,"y":0,"w":470,"h":470},{"x":60,"y":0,"w":412,"h":470},{"x":149,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":626,"h":470}]},"media_results":{"result":{"media_key":"3_1989320273355472896"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320428431478784","indices":[275,298],"media_key":"3_1989320428431478784","media_url_https":"https://pbs.twimg.com/media/G5t8Y8kWEAAoL_Y.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":690,"resize":"fit"},"medium":{"h":470,"w":690,"resize":"fit"},"small":{"h":463,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":690,"focus_rects":[{"x":0,"y":0,"w":690,"h":386},{"x":220,"y":0,"w":470,"h":470},{"x":278,"y":0,"w":412,"h":470},{"x":452,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":690,"h":470}]},"media_results":{"result":{"media_key":"3_1989320428431478784"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320206515093504","indices":[275,298],"media_key":"3_1989320206515093504","media_url_https":"https://pbs.twimg.com/media/G5t8MB3WwAAX7O1.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":630,"resize":"fit"},"medium":{"h":470,"w":630,"resize":"fit"},"small":{"h":470,"w":630,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":630,"focus_rects":[{"x":0,"y":0,"w":630,"h":353},{"x":160,"y":0,"w":470,"h":470},{"x":218,"y":0,"w":412,"h":470},{"x":339,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":630,"h":470}]},"media_results":{"result":{"media_key":"3_1989320206515093504"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320273355472896","indices":[275,298],"media_key":"3_1989320273355472896","media_url_https":"https://pbs.twimg.com/media/G5t8P63WAAAPX_-.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":626,"resize":"fit"},"medium":{"h":470,"w":626,"resize":"fit"},"small":{"h":470,"w":626,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":626,"focus_rects":[{"x":0,"y":0,"w":626,"h":351},{"x":31,"y":0,"w":470,"h":470},{"x":60,"y":0,"w":412,"h":470},{"x":149,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":626,"h":470}]},"media_results":{"result":{"media_key":"3_19893202733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FRIDAY 11/14: Liquidation Nation edition... someone I respect asked me to start a Friday Factor series... lets try it out.. \n\nTo understand and operate in this regime of LIQUIDATION NATION... you need to understand factors. Not factors in the traditional sense....I'm talking about FLOW factors. Positioning factors. What's crowded. What's being puked. What's reversing mean.\n\nTHE LIQUIDATION SIGNATURE HAS BEEN SCREAMING for weeks (btw look at the NQZ5 volume between 6am-8am today) \n\nHere's what's actually happening:\n\nTHE PUKE: Quantum computing down -25% this week (!), Bitcoin miners -22%, AI power plays -21%. These aren't \"corrections\"... these are forced unwinds. Someone big got tapped from the Risk Ninjas, is underwater, and selling what they can, not what they want to\n\nTHE TELL: Look at the ZScores. Quantum computing at big negative Z means this move has been accelerating. AI power infrastructure? That's not price discovery. That's liquidation nation\n\nTHE CORRELATION BREAK: Korea Conglomerates +7.5%, Healthcare holding green all week, while crypto/quantum/uranium all nuking together. This ISN'T a macro selloff. This is SPECIFIC positioning getting blown out. Someone was long \"AI revolution 2.0\" basket and is actively degrossing / getting liquidated\n\nTHE HEDGE: Notice pharma/healthcare holding up? \"Make America Healthy Again\" at +4 Z-score? While speculative tech dies, defensive quality works. Classic hedge fund playbook: they're selling losers to cover, not selling winners\n\nTHE CROWDING INDICATOR: When you see this kind of Z-score dispersion, you're seeing crowded trades unwind in real-time. The factors moving like these Z moves don't just \"happen\" ...they happen when 50 funds hold the same \"theme\"\n\nBOTTOM LINE: \nIf you're holding big NEGATIVE ZScore positions on Monday thinking \"it can't go lower\"... you're the liquidity\n\nIf you're chasing BIG POSITIVE ZScore winners thinking \"momentum always works\"... you're late to a crowded trade that's about to get faded\n\nTHE ONLY WAY TO SURVIVE LIQUIDATION WAVES IS TO BE ANALYTICALLY RELENTLESS + INTELLECTUALLY DYNAMIC + ALWAYS ALWAYS MANAGE RISK\n\nNext Friday: we will talk spreads and risk management. Drop a comment on what you want to see and I will try to work it in\n\n{DATA}\n1. Weekly Top 10 / Bottom 10 Factors below\n2. Weekly Top 10 / Bottom 10 Z-SCORES below\n3. Top 10 / Bottom 10 Returns -> Z-SCORED","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,28],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1509008382060945410","name":"CRE Romans","screen_name":"creromans","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"creromans","lang":"en","retweeted":false,"fact_check":null,"id":"1989355768492273720","view_count":36,"bookmark_count":0,"created_at":1763134350000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988997777632956887","full_text":"@creromans Whatās the cause?","in_reply_to_user_id_str":"1509008382060945410","in_reply_to_status_id_str":"1988997777632956887","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-16","value":1,"startTime":1763164800000,"endTime":1763251200000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989417492582899872","quoted_status_permalink":{"url":"https://t.co/mEHn7fYWPJ","expanded":"https://twitter.com/artificialanlys/status/1989417492582899872","display":"x.com/artificialanlyā¦"},"retweeted":false,"fact_check":null,"id":"1989695111467278797","view_count":3189,"bookmark_count":14,"created_at":1763215255000,"favorite_count":13,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"Foundation model economics look increasingly āchallengedā as is. Weāre watching near zero switching costs meet marginal differentiation⦠GPT 5.1 gains just +2 points over GPT5 while cutting costs ~6%. BEARS will say massive capex, diminishing returns, inevitable price compression as capabilities converge.\n\nBULLS will say there are two worlds where this makes sense:\n\n1 Vertical integration where models become loss leaders for ecosystems⦠MSFT and GOOGL bundle into workspace, AAPL into devices. The margin lives in adjacent services, not the model itself. OAI pushing into chat / advertising / adult content is the tell to me\n\n2 Pure distribution moats⦠ChatGPTās 300M+ users mean even commoditized products win with scale. Think AWS commoditizing compute but owning the entire marketplace and (fees). OAI App Store?\n\nThe issue is a race to bottom happens when pure play API providers compete solely on price/performance⦠when no proprietary data moats emerge⦠when inference costs collapse faster than willingness to absorb fee increases \n\nThe GPT 5.1 update gives us incremental insight into the future⦠marginal intelligence gains, focus shifted to āpersonalityā and steering into an āecosystemā\n\nSustainable economics require either owning distribution or making the model a feature, not the product. 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For context, this is the firm thatās basically *the* gold standard in quant investing. My thought project this early morning is to piece together what happenedā¦because if RenTechās models break, that tells us something IMPORTANT about markets right now.\n\n*I found these attachments on the internet someone loaded up⦠could be made up or wrong. Letās assume they are rightā¦\n\nRIEF runs ~$20B, supposedly factor neutral, market neutral-ish, with 2.5x leverage. The strategy is automated statistical arbitrage across thousands of long/short positions. Beta target of 0.4 or lower. These guys donāt blow up. So what changed?\n\nHereās where it gets interesting. In Feb 2023, they modified their strategy. Old target: net $100 long per $100 equity. New target: āNOT be greater than $100 net long⦠but with NO OBJECTIVE that it not be less.ā\n\nWaitā¦.they removed the floor? Thatās a massive shift. It allows them to go net short or significantly reduce market exposure.\n\nLooking at their factor exposure analysis (stress testing docs), something jumps out: theyāre NOT actually factor neutral. The āManager Style Driftā chart shows S&P 500 exposure went from ~0 to 3+ sigma starting around 2020. Thatās⦠not neutral.\n\nDuring COVID-19 (Mar 2020), they had:\n\n- +2.21 S&P 500 exposure\n- -1.78 MSCI North America\n- Negative VIX exposure\n- Small cap and value growth tilts\n\nThese exposures are contradictory and suggest hidden factor bets that maybe even *they* didnāt fully recognize in their risk model. ORā¦. Models now take them on in short term alpha trades. \n\nThe correlation stress testing chart (bottom right in the docs) is particularly revealing. It shows correlations increase dramatically during stress periods meaning their hedges fail precisely when needed most. Classic quant nightmare. OR they are specifically taking on tilts. \n\nSo hereās my working theory on October 2025:\n\nAfter Feb 2023, they likely used their new flexibility to reduce net long exposure (or even go short). If you follow LIQUIDATION NATION it has been a factor bloodbath and historical moves⦠they could be:\n\n1. Underexposed to upside on longs\n1. Getting squeezed on shorts\n1. Watching āneutralā factors suddenly correlate\n\nWith 2.5x leverage, even a -6% strategy loss becomes -15%.\n\nAlt #2: This was a crowded trade unwind. If other quant funds were positioned similarly, forced liquidations could cascade. Market microstructure breaks down, liquidity evaporates, execution slippage compounds losses.\n\nAlt #3: They are running lower leverage and taking on FACTOR TIMING (how I think about the world.. maybe I am cope lol). \n\nAlt #4: Some option trade went haywire \n\nWhatās fascinating⦠is their models apparently didnāt see this coming. These are arguably the most sophisticated predictive models in finance, built by some of the smartest people in the world, with 30+ years of data and refinement.\n\nYet something in October 2025ās market structure was fundamentally different from their training data.\n\nQuestions Iām still thinking about:\n\n- Was this a regime change moment where historical factor relationships broke?\n- Did their factor definitions drift from market reality?\n- Was the Feb 2023 strategy change a mistake in hindsight?\n- Or was this just an unlucky tail event that any model would miss?\n\nThe humbling thing: if RenTechās models battle tested through multiple crashes, with the deepest talent pool in quantā¦.can get caught like this, what does that say about model risk more broadly?\n\nIām not trying to criticizeā¦genuinely trying to learn. When the best models fail, thereās usually a deep lesson about markets, risk, or regime change embedded in there.\n\nWould love to hear thoughts from other quant folks. What am I missing?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[{"indices":[1567,1571],"text":"VMW"}],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"5943622","name":"Marc Andreessen šŗšø","screen_name":"pmarca","indices":[976,983]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1979502392677646532","quoted_status_permalink":{"url":"https://t.co/aDL752rvGa","expanded":"https://twitter.com/jaredkubin/status/1979502392677646532","display":"x.com/jaredkubin/staā¦"},"retweeted":false,"fact_check":null,"id":"1982042903196111345","view_count":101979,"bookmark_count":329,"created_at":1761390827000,"favorite_count":353,"quote_count":0,"reply_count":8,"retweet_count":14,"user_id_str":"129401455","conversation_id_str":"1982042903196111345","full_text":"SAC Interview Process (circa 2012 so I am sure its diff now)\n\nOh boyā¦Since everyone liked the BW story⦠here is a different one⦠intense but in a diff way \n\nTLDR: Network like a crazy person. Preparation starts years before. Be likable. And most importantly⦠never give up.\n\nSTEP 1: I was working for a guy in NYC during the summer between year 1 & 2 at HBS. He spun out of GSS and started a PE firm⦠my job was to explain to LPs why money losing businesses like software and some alarm contract companies had great economics long term. This was 2012 when most people very skeptical of SaaS. This was right in my wheelhouse being a software entrepreneur before school. While I was in NYC I networked hard. MOST ignored me. I finally find a nice woman at SAC ⦠I bothered her soooo much she finally agreed to a coffee. No idea what she didā¦turned out she ran their TMT bus dev. We hit it off and she put me into their applicant pool for teams / PMs to review. Win. \n\nLesson: @pmarca was right on with the networking advice. If you canāt network your way to where you need to be⦠how can you be successful? You wonāt be\n\nI get back to Boston for year 2 and get a call saying there is a new team spinning up. They want me to formally interview for Boston office. Could I work and go to school? Damn right Iād figure it out. \n\nStep2. I go to the office and meet the PM⦠we will call him Big Mike. I went into their conference room and just talked with Big Mike. My background. My startups. Baseball. Was great. Then he slowly moved me into an almost verbal case study. $VMW was the big controversy at the time. We walked through the technology of hypervisors and VMs. How would I size an opportunity for VMs? What Big Mike didnāt know that I knew ā¦. there was new tech to squeeze more than 1 VM onto a standard server that was changing the industry. I was able to talk about the tech change happening from server silo to multiple machines on a single server. Was a HR. \n\nLesson: always be ready. I didnāt know I was getting a verbal case study. That was my only opportunity. Gotta be ready. Gotta seize it. \n\nStep 3: They pass me onto a senior analyst who is now one of the best TMT investors in multi strat land (currently yes). They gave me a modeling test. Basically a 3 statement excel with all the components messed up. I had 25 min. I didnāt do banking or PE⦠so I spent the whole fist year teaching myself this⦠I got everything organized in 20 min and everything was off by a factor of 10(?). I was like wtf. Big panic. With 1 minute to go I figured out the Revenue was in ASM and need to divide by the RASM (model turned out to be JETBLUE). Never looked at an airline before. The working capital was wonky also, good thing my test in accounting class that spring was this exact thing. Finished with 2 seconds left. Phew. HR was 130 easy. \n\nLesson: I spent a whole year waking up at 330am to teach myself financial modeling. Had no idea how it would pay off⦠it sure as hell did here in the 25 min I needed it. Do the work. \n\nStep4: I met the Boston office manager for another interview. More fit. He is legendary for his standing res at the Four Seasons. Was all about process and demands on the analysts. I had no idea what I was getting in toā¦\n\nLesson: You have to be likable. No one wants to work with someone that sucks even if a math phd HP machine. Especially in a high performance team \n\nBig Mike offered me the job after I did a couple projects for him. Amazing how the Lord works in our life. I look back and just like wow. It wasnāt fast. Had to beg my way in. But I never looked back. Steve was always good to me even as the lowest analyst on the totem pole. I think the best all time. GOAT.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982115148392481194","quoted_status_permalink":{"url":"https://t.co/QQ3cyMbSm9","expanded":"https://twitter.com/twoeggers/status/1982115148392481194","display":"x.com/twoeggers/statā¦"},"retweeted":false,"fact_check":null,"id":"1982115596473909529","view_count":51159,"bookmark_count":75,"created_at":1761408158000,"favorite_count":96,"quote_count":0,"reply_count":4,"retweet_count":1,"user_id_str":"129401455","conversation_id_str":"1982115596473909529","full_text":"Great context. Heard stories. 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Letās go. https://t.co/5lWGV5x1ne","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982425610443256164","quoted_status_permalink":{"url":"https://t.co/YCosGDhB7O","expanded":"https://twitter.com/blueprintsmb22/status/1982425610443256164","display":"x.com/blueprintsmb22ā¦"},"retweeted":false,"fact_check":null,"id":"1982442636335071719","view_count":74336,"bookmark_count":45,"created_at":1761486131000,"favorite_count":214,"quote_count":1,"reply_count":6,"retweet_count":2,"user_id_str":"129401455","conversation_id_str":"1982442636335071719","full_text":"Iāve been fortunate to be friends with Blue for over 10+ years. 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OpenAI shipped ChatGPT. And the smartest AI team in the world proved Gene Munster right: \"The classic team with all the talent that doesn't win the championship.\"\n\nWhat a time to be alive.. AI will have a profound impact on the world and here is arguable the most talented team in the world \"giving up\" on applying it to Financial markets... the article is clearly missing a lot of details but what can we assume? \n\nThree possibilities immediately come to mind:\n\n1. Finance is genuinely harder than protein folding: markets are adversarial, noisy, reflexive. Every edge decays. AlphaGo had clear rules... markets have none. Maybe the AI \"sometimes\" beat benchmarks in sims but couldn't survive real world chaos & regime shifts... hallucinations can kill a fund\n\n2. Hassabis saw the regulatory nightmare: an AI that can predict protein structures wins Nobels. An AI that trades billions triggers SEC investigations, flash crash inquiries, systemic risk concerns. Why fight that battle when you can \"solve intelligence\"? He just saw A BIGGER OPPORTUNITY in AGI (likely)\n\n3. The prosaic problem: the article says it all: when asked \"what's your product?\" Hassabis called it a \"prosaic question.\" Finance requires obsessive attention to execution, latency, risk management, compliance...all grubby (his word) details beneath someone chasing cosmic breakthroughs\n\nI think AI in the financial markets is the biggest opportunity of my lifetime.\nBut NOT because AI will replace traders or \"solve\" markets... because it solves the PROSAIC problems that actually kill funds\n\n1. Early Warning System\npost COVID markets are more violent and chaotic than ever... LIQUIDATION NATION is real. Human bandwidth is the bottleneck.. AI's will ingest: news streams, social sentiment, factor flows, macro regime shifts, custom alphas... ALL 24/7 in the future. \"Flag the liquidation anomaly before it cascades across subsectors\" Liquidation Nation isn't a meme....it's the new reality to understand for the next 10 years\n\n2. Data Synthesis\nThe \"drowning in data\" problem is real. You have...\n-10,000 news articles/day\n-real time factor performance\n-alternative data feeds\n-historical analogues\n- 10x more data based on diff strategies\nWho synthesizes this? A junior analyst? Good luck...\n\nAI doesn't just aggregate... it CONNECTS patterns humans miss. \"What macro regime are we in? What happened last time yields spiked 50bps in 3 days while momentum sold off?\" This is what our agent \"Stanley\" does. Custom trained on OUR factors, OUR data, time aware vectors. ChatGPT doesn't know what your \"Momentum Spread\" did yesterday... \n\nThe future is VERTICAL SPECIFIC AGENTS\n\n3. Build and Learn Faster:\n AI can generate + test hundreds of factor combinations automatically. \"Can I use LLMs to generate hypothesis driven factors that have statistical relevance? \"Yes. Agent analyzes market data ā picks top 20 factors ā computer validates ā agent suggests combos (\"what if we multiply these?\") ā pick winners ā explain why it works. Velocity matters.\nRegime detection > static models\n\n4. Vibe Coding:\nThe most underrated shift. \"No one is coming to save your job.\"\nThe fundamental investor who can't code is dead. The quant who only looks backward is dead. The analyst who thinks AI is \"just a tool\" is dead. Learn to vibe code. Ask the right questions. Let Claude Code execute. Let Stanley synthesize. Build your own tools. \n\nAI won't replace you...but an industry expert using AI will\n\nGoogleās top AI executive seeks the profound over profits and the āprosaicā | Reuters","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1756172724064399360","name":"Stephanie Guild, CFA","screen_name":"StephGuildNYC","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"StephGuildNYC","lang":"en","retweeted":false,"fact_check":null,"id":"1988772729345176051","view_count":419,"bookmark_count":0,"created_at":1762995342000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@StephGuildNYC Awesome Steph! Well put and šÆ agree","in_reply_to_user_id_str":"1756172724064399360","in_reply_to_status_id_str":"1988771764365668391","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,21],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1439976714","name":"Jeremy","screen_name":"jermvasquez","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"jermvasquez","lang":"en","retweeted":false,"fact_check":null,"id":"1988788310987403349","view_count":192,"bookmark_count":0,"created_at":1762999057000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@jermvasquez Awesome!","in_reply_to_user_id_str":"1439976714","in_reply_to_status_id_str":"1988786301156663387","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,44],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1943008646369034240","name":"Eric Schenck | Real Person Messaging","screen_name":"rpmessaging","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"rpmessaging","lang":"en","retweeted":false,"fact_check":null,"id":"1988765252884791317","view_count":205,"bookmark_count":0,"created_at":1762993560000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@rpmessaging A lot to figure out next decade","in_reply_to_user_id_str":"1943008646369034240","in_reply_to_status_id_str":"1988765151063888101","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,51],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1363379699368546305","name":"Malikaii.Mask","screen_name":"MalikaiiM","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"MalikaiiM","lang":"en","retweeted":false,"fact_check":null,"id":"1988785280783118799","view_count":75,"bookmark_count":0,"created_at":1762998335000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@MalikaiiM Thanks for the complimentā¦. 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lol","in_reply_to_user_id_str":"1363379699368546305","in_reply_to_status_id_str":"1988784757040394540","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-15","value":180,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,274],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320206515093504","indices":[275,298],"media_key":"3_1989320206515093504","media_url_https":"https://pbs.twimg.com/media/G5t8MB3WwAAX7O1.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":630,"resize":"fit"},"medium":{"h":470,"w":630,"resize":"fit"},"small":{"h":470,"w":630,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":630,"focus_rects":[{"x":0,"y":0,"w":630,"h":353},{"x":160,"y":0,"w":470,"h":470},{"x":218,"y":0,"w":412,"h":470},{"x":339,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":630,"h":470}]},"media_results":{"result":{"media_key":"3_1989320206515093504"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320273355472896","indices":[275,298],"media_key":"3_1989320273355472896","media_url_https":"https://pbs.twimg.com/media/G5t8P63WAAAPX_-.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":626,"resize":"fit"},"medium":{"h":470,"w":626,"resize":"fit"},"small":{"h":470,"w":626,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":626,"focus_rects":[{"x":0,"y":0,"w":626,"h":351},{"x":31,"y":0,"w":470,"h":470},{"x":60,"y":0,"w":412,"h":470},{"x":149,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":626,"h":470}]},"media_results":{"result":{"media_key":"3_1989320273355472896"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320428431478784","indices":[275,298],"media_key":"3_1989320428431478784","media_url_https":"https://pbs.twimg.com/media/G5t8Y8kWEAAoL_Y.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":690,"resize":"fit"},"medium":{"h":470,"w":690,"resize":"fit"},"small":{"h":463,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":690,"focus_rects":[{"x":0,"y":0,"w":690,"h":386},{"x":220,"y":0,"w":470,"h":470},{"x":278,"y":0,"w":412,"h":470},{"x":452,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":690,"h":470}]},"media_results":{"result":{"media_key":"3_1989320428431478784"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320206515093504","indices":[275,298],"media_key":"3_1989320206515093504","media_url_https":"https://pbs.twimg.com/media/G5t8MB3WwAAX7O1.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":630,"resize":"fit"},"medium":{"h":470,"w":630,"resize":"fit"},"small":{"h":470,"w":630,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":630,"focus_rects":[{"x":0,"y":0,"w":630,"h":353},{"x":160,"y":0,"w":470,"h":470},{"x":218,"y":0,"w":412,"h":470},{"x":339,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":630,"h":470}]},"media_results":{"result":{"media_key":"3_1989320206515093504"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320273355472896","indices":[275,298],"media_key":"3_1989320273355472896","media_url_https":"https://pbs.twimg.com/media/G5t8P63WAAAPX_-.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":626,"resize":"fit"},"medium":{"h":470,"w":626,"resize":"fit"},"small":{"h":470,"w":626,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":626,"focus_rects":[{"x":0,"y":0,"w":626,"h":351},{"x":31,"y":0,"w":470,"h":470},{"x":60,"y":0,"w":412,"h":470},{"x":149,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":626,"h":470}]},"media_results":{"result":{"media_key":"3_1989320273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FRIDAY 11/14: Liquidation Nation edition... someone I respect asked me to start a Friday Factor series... lets try it out.. \n\nTo understand and operate in this regime of LIQUIDATION NATION... you need to understand factors. Not factors in the traditional sense....I'm talking about FLOW factors. Positioning factors. What's crowded. What's being puked. What's reversing mean.\n\nTHE LIQUIDATION SIGNATURE HAS BEEN SCREAMING for weeks (btw look at the NQZ5 volume between 6am-8am today) \n\nHere's what's actually happening:\n\nTHE PUKE: Quantum computing down -25% this week (!), Bitcoin miners -22%, AI power plays -21%. These aren't \"corrections\"... these are forced unwinds. Someone big got tapped from the Risk Ninjas, is underwater, and selling what they can, not what they want to\n\nTHE TELL: Look at the ZScores. Quantum computing at big negative Z means this move has been accelerating. AI power infrastructure? That's not price discovery. That's liquidation nation\n\nTHE CORRELATION BREAK: Korea Conglomerates +7.5%, Healthcare holding green all week, while crypto/quantum/uranium all nuking together. This ISN'T a macro selloff. This is SPECIFIC positioning getting blown out. Someone was long \"AI revolution 2.0\" basket and is actively degrossing / getting liquidated\n\nTHE HEDGE: Notice pharma/healthcare holding up? \"Make America Healthy Again\" at +4 Z-score? While speculative tech dies, defensive quality works. Classic hedge fund playbook: they're selling losers to cover, not selling winners\n\nTHE CROWDING INDICATOR: When you see this kind of Z-score dispersion, you're seeing crowded trades unwind in real-time. The factors moving like these Z moves don't just \"happen\" ...they happen when 50 funds hold the same \"theme\"\n\nBOTTOM LINE: \nIf you're holding big NEGATIVE ZScore positions on Monday thinking \"it can't go lower\"... you're the liquidity\n\nIf you're chasing BIG POSITIVE ZScore winners thinking \"momentum always works\"... you're late to a crowded trade that's about to get faded\n\nTHE ONLY WAY TO SURVIVE LIQUIDATION WAVES IS TO BE ANALYTICALLY RELENTLESS + INTELLECTUALLY DYNAMIC + ALWAYS ALWAYS MANAGE RISK\n\nNext Friday: we will talk spreads and risk management. Drop a comment on what you want to see and I will try to work it in\n\n{DATA}\n1. Weekly Top 10 / Bottom 10 Factors below\n2. Weekly Top 10 / Bottom 10 Z-SCORES below\n3. Top 10 / Bottom 10 Returns -> Z-SCORED","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,28],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1509008382060945410","name":"CRE Romans","screen_name":"creromans","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"creromans","lang":"en","retweeted":false,"fact_check":null,"id":"1989355768492273720","view_count":36,"bookmark_count":0,"created_at":1763134350000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988997777632956887","full_text":"@creromans Whatās the cause?","in_reply_to_user_id_str":"1509008382060945410","in_reply_to_status_id_str":"1988997777632956887","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-16","value":14,"startTime":1763164800000,"endTime":1763251200000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989417492582899872","quoted_status_permalink":{"url":"https://t.co/mEHn7fYWPJ","expanded":"https://twitter.com/artificialanlys/status/1989417492582899872","display":"x.com/artificialanlyā¦"},"retweeted":false,"fact_check":null,"id":"1989695111467278797","view_count":3189,"bookmark_count":14,"created_at":1763215255000,"favorite_count":13,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"Foundation model economics look increasingly āchallengedā as is. Weāre watching near zero switching costs meet marginal differentiation⦠GPT 5.1 gains just +2 points over GPT5 while cutting costs ~6%. BEARS will say massive capex, diminishing returns, inevitable price compression as capabilities converge.\n\nBULLS will say there are two worlds where this makes sense:\n\n1 Vertical integration where models become loss leaders for ecosystems⦠MSFT and GOOGL bundle into workspace, AAPL into devices. The margin lives in adjacent services, not the model itself. OAI pushing into chat / advertising / adult content is the tell to me\n\n2 Pure distribution moats⦠ChatGPTās 300M+ users mean even commoditized products win with scale. Think AWS commoditizing compute but owning the entire marketplace and (fees). OAI App Store?\n\nThe issue is a race to bottom happens when pure play API providers compete solely on price/performance⦠when no proprietary data moats emerge⦠when inference costs collapse faster than willingness to absorb fee increases \n\nThe GPT 5.1 update gives us incremental insight into the future⦠marginal intelligence gains, focus shifted to āpersonalityā and steering into an āecosystemā\n\nSustainable economics require either owning distribution or making the model a feature, not the product. Everything else is a commodity play with VC subsidized pricing until someone blinks or canāt get financing","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[17,52],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2798335405","name":"Cam Mackintosh","screen_name":"RelativInvestor","indices":[0,16]}]},"favorited":false,"in_reply_to_screen_name":"RelativInvestor","lang":"en","retweeted":false,"fact_check":null,"id":"1989702224499363907","view_count":53,"bookmark_count":0,"created_at":1763216951000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"@RelativInvestor Agreed. Big wave M&A coming imo","in_reply_to_user_id_str":"2798335405","in_reply_to_status_id_str":"1989701753755816445","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-17","value":2,"startTime":1763251200000,"endTime":1763337600000,"tweets":[{"bookmarked":false,"display_text_range":[14,122],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1779775861589504000","name":"sysls","screen_name":"systematicls","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"systematicls","lang":"en","retweeted":false,"fact_check":null,"id":"1990041698865660249","view_count":1237,"bookmark_count":2,"created_at":1763297888000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1990041117224824974","full_text":"@systematicls People could just skip all that⦠train on t1_returns and be faster to market ⦠speed is the name of the game","in_reply_to_user_id_str":"1779775861589504000","in_reply_to_status_id_str":"1990041117224824974","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2244127460","name":"Unemployed Capital Allocator","screen_name":"atelicinvest","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"atelicinvest","lang":"en","retweeted":false,"fact_check":null,"id":"1990035051069718923","view_count":532,"bookmark_count":0,"created_at":1763296303000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989924643034239201","full_text":"@atelicinvest Vibes have shifted","in_reply_to_user_id_str":"2244127460","in_reply_to_status_id_str":"1989924643034239201","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-18","value":0,"startTime":1763337600000,"endTime":1763424000000,"tweets":[]}],"nretweets":[{"label":"2025-10-19","value":37,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979396139343622255","quoted_status_permalink":{"url":"https://t.co/NxRS4QeQMB","expanded":"https://twitter.com/lootdropcapital/status/1979396139343622255","display":"x.com/lootdropcapitaā¦"},"retweeted":false,"fact_check":null,"id":"1979502392677646532","view_count":802598,"bookmark_count":578,"created_at":1760785122000,"favorite_count":1067,"quote_count":10,"reply_count":37,"retweet_count":33,"user_id_str":"129401455","conversation_id_str":"1979502392677646532","full_text":"I did 3 rounds of interviews with BW. It was ⦠an āexperienceā \n\n1. Dinner -> seemed normal enough⦠I had no idea what to expect. Was at the top restaurant in Cambridge⦠anything we wanted. As a starving MBA, was a highlight. Invited to a debate after. \n\n2. 8 person debate. Objective was bring a ācontroversialā topic to debate. 3 I remember \n- āis the illusion of choice limiting for humansā\n- ākill 1 person to save 1m peopleā\n- mine⦠āshould the government regulate the internetā \n\nI love debate and donāt take much personal ⦠was intense and fun. \n\n3. I was then passed on to a psychologist in Canada? Asked me a serious of questions for 2 hours ok the phone. Iām trying to remember ⦠said the goal was to measure my brain and Frontal Cortex? This was close to 15 yrs ago. I found the questions kinda silly. How could some PHD understand me from a 2 hr call? \n\nAnyway they dinged me after round three. I guess my Frontal Cortex wasnāt developed or big enough. \n\nLots of BW lurkers on here ⦠and some public alum. 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For context, this is the firm thatās basically *the* gold standard in quant investing. My thought project this early morning is to piece together what happenedā¦because if RenTechās models break, that tells us something IMPORTANT about markets right now.\n\n*I found these attachments on the internet someone loaded up⦠could be made up or wrong. Letās assume they are rightā¦\n\nRIEF runs ~$20B, supposedly factor neutral, market neutral-ish, with 2.5x leverage. The strategy is automated statistical arbitrage across thousands of long/short positions. Beta target of 0.4 or lower. These guys donāt blow up. So what changed?\n\nHereās where it gets interesting. In Feb 2023, they modified their strategy. Old target: net $100 long per $100 equity. New target: āNOT be greater than $100 net long⦠but with NO OBJECTIVE that it not be less.ā\n\nWaitā¦.they removed the floor? Thatās a massive shift. It allows them to go net short or significantly reduce market exposure.\n\nLooking at their factor exposure analysis (stress testing docs), something jumps out: theyāre NOT actually factor neutral. The āManager Style Driftā chart shows S&P 500 exposure went from ~0 to 3+ sigma starting around 2020. Thatās⦠not neutral.\n\nDuring COVID-19 (Mar 2020), they had:\n\n- +2.21 S&P 500 exposure\n- -1.78 MSCI North America\n- Negative VIX exposure\n- Small cap and value growth tilts\n\nThese exposures are contradictory and suggest hidden factor bets that maybe even *they* didnāt fully recognize in their risk model. ORā¦. Models now take them on in short term alpha trades. \n\nThe correlation stress testing chart (bottom right in the docs) is particularly revealing. It shows correlations increase dramatically during stress periods meaning their hedges fail precisely when needed most. Classic quant nightmare. OR they are specifically taking on tilts. \n\nSo hereās my working theory on October 2025:\n\nAfter Feb 2023, they likely used their new flexibility to reduce net long exposure (or even go short). If you follow LIQUIDATION NATION it has been a factor bloodbath and historical moves⦠they could be:\n\n1. Underexposed to upside on longs\n1. Getting squeezed on shorts\n1. Watching āneutralā factors suddenly correlate\n\nWith 2.5x leverage, even a -6% strategy loss becomes -15%.\n\nAlt #2: This was a crowded trade unwind. If other quant funds were positioned similarly, forced liquidations could cascade. Market microstructure breaks down, liquidity evaporates, execution slippage compounds losses.\n\nAlt #3: They are running lower leverage and taking on FACTOR TIMING (how I think about the world.. maybe I am cope lol). \n\nAlt #4: Some option trade went haywire \n\nWhatās fascinating⦠is their models apparently didnāt see this coming. These are arguably the most sophisticated predictive models in finance, built by some of the smartest people in the world, with 30+ years of data and refinement.\n\nYet something in October 2025ās market structure was fundamentally different from their training data.\n\nQuestions Iām still thinking about:\n\n- Was this a regime change moment where historical factor relationships broke?\n- Did their factor definitions drift from market reality?\n- Was the Feb 2023 strategy change a mistake in hindsight?\n- Or was this just an unlucky tail event that any model would miss?\n\nThe humbling thing: if RenTechās models battle tested through multiple crashes, with the deepest talent pool in quantā¦.can get caught like this, what does that say about model risk more broadly?\n\nIām not trying to criticizeā¦genuinely trying to learn. When the best models fail, thereās usually a deep lesson about markets, risk, or regime change embedded in there.\n\nWould love to hear thoughts from other quant folks. What am I missing?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[{"indices":[1567,1571],"text":"VMW"}],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"5943622","name":"Marc Andreessen šŗšø","screen_name":"pmarca","indices":[976,983]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1979502392677646532","quoted_status_permalink":{"url":"https://t.co/aDL752rvGa","expanded":"https://twitter.com/jaredkubin/status/1979502392677646532","display":"x.com/jaredkubin/staā¦"},"retweeted":false,"fact_check":null,"id":"1982042903196111345","view_count":101979,"bookmark_count":329,"created_at":1761390827000,"favorite_count":353,"quote_count":0,"reply_count":8,"retweet_count":14,"user_id_str":"129401455","conversation_id_str":"1982042903196111345","full_text":"SAC Interview Process (circa 2012 so I am sure its diff now)\n\nOh boyā¦Since everyone liked the BW story⦠here is a different one⦠intense but in a diff way \n\nTLDR: Network like a crazy person. Preparation starts years before. Be likable. And most importantly⦠never give up.\n\nSTEP 1: I was working for a guy in NYC during the summer between year 1 & 2 at HBS. He spun out of GSS and started a PE firm⦠my job was to explain to LPs why money losing businesses like software and some alarm contract companies had great economics long term. This was 2012 when most people very skeptical of SaaS. This was right in my wheelhouse being a software entrepreneur before school. While I was in NYC I networked hard. MOST ignored me. I finally find a nice woman at SAC ⦠I bothered her soooo much she finally agreed to a coffee. No idea what she didā¦turned out she ran their TMT bus dev. We hit it off and she put me into their applicant pool for teams / PMs to review. Win. \n\nLesson: @pmarca was right on with the networking advice. If you canāt network your way to where you need to be⦠how can you be successful? You wonāt be\n\nI get back to Boston for year 2 and get a call saying there is a new team spinning up. They want me to formally interview for Boston office. Could I work and go to school? Damn right Iād figure it out. \n\nStep2. I go to the office and meet the PM⦠we will call him Big Mike. I went into their conference room and just talked with Big Mike. My background. My startups. Baseball. Was great. Then he slowly moved me into an almost verbal case study. $VMW was the big controversy at the time. We walked through the technology of hypervisors and VMs. How would I size an opportunity for VMs? What Big Mike didnāt know that I knew ā¦. there was new tech to squeeze more than 1 VM onto a standard server that was changing the industry. I was able to talk about the tech change happening from server silo to multiple machines on a single server. Was a HR. \n\nLesson: always be ready. I didnāt know I was getting a verbal case study. That was my only opportunity. Gotta be ready. Gotta seize it. \n\nStep 3: They pass me onto a senior analyst who is now one of the best TMT investors in multi strat land (currently yes). They gave me a modeling test. Basically a 3 statement excel with all the components messed up. I had 25 min. I didnāt do banking or PE⦠so I spent the whole fist year teaching myself this⦠I got everything organized in 20 min and everything was off by a factor of 10(?). I was like wtf. Big panic. With 1 minute to go I figured out the Revenue was in ASM and need to divide by the RASM (model turned out to be JETBLUE). Never looked at an airline before. The working capital was wonky also, good thing my test in accounting class that spring was this exact thing. Finished with 2 seconds left. Phew. HR was 130 easy. \n\nLesson: I spent a whole year waking up at 330am to teach myself financial modeling. Had no idea how it would pay off⦠it sure as hell did here in the 25 min I needed it. Do the work. \n\nStep4: I met the Boston office manager for another interview. More fit. He is legendary for his standing res at the Four Seasons. Was all about process and demands on the analysts. I had no idea what I was getting in toā¦\n\nLesson: You have to be likable. No one wants to work with someone that sucks even if a math phd HP machine. Especially in a high performance team \n\nBig Mike offered me the job after I did a couple projects for him. Amazing how the Lord works in our life. I look back and just like wow. It wasnāt fast. Had to beg my way in. But I never looked back. Steve was always good to me even as the lowest analyst on the totem pole. I think the best all time. GOAT.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982115148392481194","quoted_status_permalink":{"url":"https://t.co/QQ3cyMbSm9","expanded":"https://twitter.com/twoeggers/status/1982115148392481194","display":"x.com/twoeggers/statā¦"},"retweeted":false,"fact_check":null,"id":"1982115596473909529","view_count":51159,"bookmark_count":75,"created_at":1761408158000,"favorite_count":96,"quote_count":0,"reply_count":4,"retweet_count":1,"user_id_str":"129401455","conversation_id_str":"1982115596473909529","full_text":"Great context. Heard stories. 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Letās go. https://t.co/5lWGV5x1ne","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982425610443256164","quoted_status_permalink":{"url":"https://t.co/YCosGDhB7O","expanded":"https://twitter.com/blueprintsmb22/status/1982425610443256164","display":"x.com/blueprintsmb22ā¦"},"retweeted":false,"fact_check":null,"id":"1982442636335071719","view_count":74336,"bookmark_count":45,"created_at":1761486131000,"favorite_count":214,"quote_count":1,"reply_count":6,"retweet_count":2,"user_id_str":"129401455","conversation_id_str":"1982442636335071719","full_text":"Iāve been fortunate to be friends with Blue for over 10+ years. 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OpenAI shipped ChatGPT. And the smartest AI team in the world proved Gene Munster right: \"The classic team with all the talent that doesn't win the championship.\"\n\nWhat a time to be alive.. AI will have a profound impact on the world and here is arguable the most talented team in the world \"giving up\" on applying it to Financial markets... the article is clearly missing a lot of details but what can we assume? \n\nThree possibilities immediately come to mind:\n\n1. Finance is genuinely harder than protein folding: markets are adversarial, noisy, reflexive. Every edge decays. AlphaGo had clear rules... markets have none. Maybe the AI \"sometimes\" beat benchmarks in sims but couldn't survive real world chaos & regime shifts... hallucinations can kill a fund\n\n2. Hassabis saw the regulatory nightmare: an AI that can predict protein structures wins Nobels. An AI that trades billions triggers SEC investigations, flash crash inquiries, systemic risk concerns. Why fight that battle when you can \"solve intelligence\"? He just saw A BIGGER OPPORTUNITY in AGI (likely)\n\n3. The prosaic problem: the article says it all: when asked \"what's your product?\" Hassabis called it a \"prosaic question.\" Finance requires obsessive attention to execution, latency, risk management, compliance...all grubby (his word) details beneath someone chasing cosmic breakthroughs\n\nI think AI in the financial markets is the biggest opportunity of my lifetime.\nBut NOT because AI will replace traders or \"solve\" markets... because it solves the PROSAIC problems that actually kill funds\n\n1. Early Warning System\npost COVID markets are more violent and chaotic than ever... LIQUIDATION NATION is real. Human bandwidth is the bottleneck.. AI's will ingest: news streams, social sentiment, factor flows, macro regime shifts, custom alphas... ALL 24/7 in the future. \"Flag the liquidation anomaly before it cascades across subsectors\" Liquidation Nation isn't a meme....it's the new reality to understand for the next 10 years\n\n2. Data Synthesis\nThe \"drowning in data\" problem is real. You have...\n-10,000 news articles/day\n-real time factor performance\n-alternative data feeds\n-historical analogues\n- 10x more data based on diff strategies\nWho synthesizes this? A junior analyst? Good luck...\n\nAI doesn't just aggregate... it CONNECTS patterns humans miss. \"What macro regime are we in? What happened last time yields spiked 50bps in 3 days while momentum sold off?\" This is what our agent \"Stanley\" does. Custom trained on OUR factors, OUR data, time aware vectors. ChatGPT doesn't know what your \"Momentum Spread\" did yesterday... \n\nThe future is VERTICAL SPECIFIC AGENTS\n\n3. Build and Learn Faster:\n AI can generate + test hundreds of factor combinations automatically. \"Can I use LLMs to generate hypothesis driven factors that have statistical relevance? \"Yes. Agent analyzes market data ā picks top 20 factors ā computer validates ā agent suggests combos (\"what if we multiply these?\") ā pick winners ā explain why it works. Velocity matters.\nRegime detection > static models\n\n4. Vibe Coding:\nThe most underrated shift. \"No one is coming to save your job.\"\nThe fundamental investor who can't code is dead. The quant who only looks backward is dead. The analyst who thinks AI is \"just a tool\" is dead. Learn to vibe code. Ask the right questions. Let Claude Code execute. Let Stanley synthesize. Build your own tools. \n\nAI won't replace you...but an industry expert using AI will\n\nGoogleās top AI executive seeks the profound over profits and the āprosaicā | Reuters","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1756172724064399360","name":"Stephanie Guild, CFA","screen_name":"StephGuildNYC","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"StephGuildNYC","lang":"en","retweeted":false,"fact_check":null,"id":"1988772729345176051","view_count":419,"bookmark_count":0,"created_at":1762995342000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@StephGuildNYC Awesome Steph! Well put and šÆ agree","in_reply_to_user_id_str":"1756172724064399360","in_reply_to_status_id_str":"1988771764365668391","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,21],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1439976714","name":"Jeremy","screen_name":"jermvasquez","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"jermvasquez","lang":"en","retweeted":false,"fact_check":null,"id":"1988788310987403349","view_count":192,"bookmark_count":0,"created_at":1762999057000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@jermvasquez Awesome!","in_reply_to_user_id_str":"1439976714","in_reply_to_status_id_str":"1988786301156663387","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,44],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1943008646369034240","name":"Eric Schenck | Real Person Messaging","screen_name":"rpmessaging","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"rpmessaging","lang":"en","retweeted":false,"fact_check":null,"id":"1988765252884791317","view_count":205,"bookmark_count":0,"created_at":1762993560000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@rpmessaging A lot to figure out next decade","in_reply_to_user_id_str":"1943008646369034240","in_reply_to_status_id_str":"1988765151063888101","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,51],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1363379699368546305","name":"Malikaii.Mask","screen_name":"MalikaiiM","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"MalikaiiM","lang":"en","retweeted":false,"fact_check":null,"id":"1988785280783118799","view_count":75,"bookmark_count":0,"created_at":1762998335000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@MalikaiiM Thanks for the complimentā¦. Negative 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FRIDAY 11/14: Liquidation Nation edition... someone I respect asked me to start a Friday Factor series... lets try it out.. \n\nTo understand and operate in this regime of LIQUIDATION NATION... you need to understand factors. Not factors in the traditional sense....I'm talking about FLOW factors. Positioning factors. What's crowded. What's being puked. What's reversing mean.\n\nTHE LIQUIDATION SIGNATURE HAS BEEN SCREAMING for weeks (btw look at the NQZ5 volume between 6am-8am today) \n\nHere's what's actually happening:\n\nTHE PUKE: Quantum computing down -25% this week (!), Bitcoin miners -22%, AI power plays -21%. These aren't \"corrections\"... these are forced unwinds. Someone big got tapped from the Risk Ninjas, is underwater, and selling what they can, not what they want to\n\nTHE TELL: Look at the ZScores. Quantum computing at big negative Z means this move has been accelerating. AI power infrastructure? That's not price discovery. That's liquidation nation\n\nTHE CORRELATION BREAK: Korea Conglomerates +7.5%, Healthcare holding green all week, while crypto/quantum/uranium all nuking together. This ISN'T a macro selloff. This is SPECIFIC positioning getting blown out. Someone was long \"AI revolution 2.0\" basket and is actively degrossing / getting liquidated\n\nTHE HEDGE: Notice pharma/healthcare holding up? \"Make America Healthy Again\" at +4 Z-score? While speculative tech dies, defensive quality works. Classic hedge fund playbook: they're selling losers to cover, not selling winners\n\nTHE CROWDING INDICATOR: When you see this kind of Z-score dispersion, you're seeing crowded trades unwind in real-time. The factors moving like these Z moves don't just \"happen\" ...they happen when 50 funds hold the same \"theme\"\n\nBOTTOM LINE: \nIf you're holding big NEGATIVE ZScore positions on Monday thinking \"it can't go lower\"... you're the liquidity\n\nIf you're chasing BIG POSITIVE ZScore winners thinking \"momentum always works\"... you're late to a crowded trade that's about to get faded\n\nTHE ONLY WAY TO SURVIVE LIQUIDATION WAVES IS TO BE ANALYTICALLY RELENTLESS + INTELLECTUALLY DYNAMIC + ALWAYS ALWAYS MANAGE RISK\n\nNext Friday: we will talk spreads and risk management. Drop a comment on what you want to see and I will try to work it in\n\n{DATA}\n1. Weekly Top 10 / Bottom 10 Factors below\n2. Weekly Top 10 / Bottom 10 Z-SCORES below\n3. Top 10 / Bottom 10 Returns -> Z-SCORED","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,28],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1509008382060945410","name":"CRE Romans","screen_name":"creromans","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"creromans","lang":"en","retweeted":false,"fact_check":null,"id":"1989355768492273720","view_count":36,"bookmark_count":0,"created_at":1763134350000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988997777632956887","full_text":"@creromans Whatās the cause?","in_reply_to_user_id_str":"1509008382060945410","in_reply_to_status_id_str":"1988997777632956887","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-16","value":0,"startTime":1763164800000,"endTime":1763251200000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989417492582899872","quoted_status_permalink":{"url":"https://t.co/mEHn7fYWPJ","expanded":"https://twitter.com/artificialanlys/status/1989417492582899872","display":"x.com/artificialanlyā¦"},"retweeted":false,"fact_check":null,"id":"1989695111467278797","view_count":3189,"bookmark_count":14,"created_at":1763215255000,"favorite_count":13,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"Foundation model economics look increasingly āchallengedā as is. Weāre watching near zero switching costs meet marginal differentiation⦠GPT 5.1 gains just +2 points over GPT5 while cutting costs ~6%. BEARS will say massive capex, diminishing returns, inevitable price compression as capabilities converge.\n\nBULLS will say there are two worlds where this makes sense:\n\n1 Vertical integration where models become loss leaders for ecosystems⦠MSFT and GOOGL bundle into workspace, AAPL into devices. The margin lives in adjacent services, not the model itself. OAI pushing into chat / advertising / adult content is the tell to me\n\n2 Pure distribution moats⦠ChatGPTās 300M+ users mean even commoditized products win with scale. Think AWS commoditizing compute but owning the entire marketplace and (fees). OAI App Store?\n\nThe issue is a race to bottom happens when pure play API providers compete solely on price/performance⦠when no proprietary data moats emerge⦠when inference costs collapse faster than willingness to absorb fee increases \n\nThe GPT 5.1 update gives us incremental insight into the future⦠marginal intelligence gains, focus shifted to āpersonalityā and steering into an āecosystemā\n\nSustainable economics require either owning distribution or making the model a feature, not the product. Everything else is a commodity play with VC subsidized pricing until someone blinks or canāt get financing","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[17,52],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2798335405","name":"Cam Mackintosh","screen_name":"RelativInvestor","indices":[0,16]}]},"favorited":false,"in_reply_to_screen_name":"RelativInvestor","lang":"en","retweeted":false,"fact_check":null,"id":"1989702224499363907","view_count":53,"bookmark_count":0,"created_at":1763216951000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"@RelativInvestor Agreed. Big wave M&A coming imo","in_reply_to_user_id_str":"2798335405","in_reply_to_status_id_str":"1989701753755816445","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-17","value":0,"startTime":1763251200000,"endTime":1763337600000,"tweets":[{"bookmarked":false,"display_text_range":[14,122],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1779775861589504000","name":"sysls","screen_name":"systematicls","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"systematicls","lang":"en","retweeted":false,"fact_check":null,"id":"1990041698865660249","view_count":1237,"bookmark_count":2,"created_at":1763297888000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1990041117224824974","full_text":"@systematicls People could just skip all that⦠train on t1_returns and be faster to market ⦠speed is the name of the game","in_reply_to_user_id_str":"1779775861589504000","in_reply_to_status_id_str":"1990041117224824974","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2244127460","name":"Unemployed Capital Allocator","screen_name":"atelicinvest","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"atelicinvest","lang":"en","retweeted":false,"fact_check":null,"id":"1990035051069718923","view_count":532,"bookmark_count":0,"created_at":1763296303000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989924643034239201","full_text":"@atelicinvest Vibes have shifted","in_reply_to_user_id_str":"2244127460","in_reply_to_status_id_str":"1989924643034239201","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-18","value":0,"startTime":1763337600000,"endTime":1763424000000,"tweets":[]}],"nlikes":[{"label":"2025-10-19","value":1411,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979396139343622255","quoted_status_permalink":{"url":"https://t.co/NxRS4QeQMB","expanded":"https://twitter.com/lootdropcapital/status/1979396139343622255","display":"x.com/lootdropcapitaā¦"},"retweeted":false,"fact_check":null,"id":"1979502392677646532","view_count":802598,"bookmark_count":578,"created_at":1760785122000,"favorite_count":1067,"quote_count":10,"reply_count":37,"retweet_count":33,"user_id_str":"129401455","conversation_id_str":"1979502392677646532","full_text":"I did 3 rounds of interviews with BW. It was ⦠an āexperienceā \n\n1. Dinner -> seemed normal enough⦠I had no idea what to expect. Was at the top restaurant in Cambridge⦠anything we wanted. As a starving MBA, was a highlight. Invited to a debate after. \n\n2. 8 person debate. Objective was bring a ācontroversialā topic to debate. 3 I remember \n- āis the illusion of choice limiting for humansā\n- ākill 1 person to save 1m peopleā\n- mine⦠āshould the government regulate the internetā \n\nI love debate and donāt take much personal ⦠was intense and fun. \n\n3. I was then passed on to a psychologist in Canada? Asked me a serious of questions for 2 hours ok the phone. Iām trying to remember ⦠said the goal was to measure my brain and Frontal Cortex? This was close to 15 yrs ago. I found the questions kinda silly. How could some PHD understand me from a 2 hr call? \n\nAnyway they dinged me after round three. I guess my Frontal Cortex wasnāt developed or big enough. \n\nLots of BW lurkers on here ⦠and some public alum. 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For context, this is the firm thatās basically *the* gold standard in quant investing. My thought project this early morning is to piece together what happenedā¦because if RenTechās models break, that tells us something IMPORTANT about markets right now.\n\n*I found these attachments on the internet someone loaded up⦠could be made up or wrong. Letās assume they are rightā¦\n\nRIEF runs ~$20B, supposedly factor neutral, market neutral-ish, with 2.5x leverage. The strategy is automated statistical arbitrage across thousands of long/short positions. Beta target of 0.4 or lower. These guys donāt blow up. So what changed?\n\nHereās where it gets interesting. In Feb 2023, they modified their strategy. Old target: net $100 long per $100 equity. New target: āNOT be greater than $100 net long⦠but with NO OBJECTIVE that it not be less.ā\n\nWaitā¦.they removed the floor? Thatās a massive shift. It allows them to go net short or significantly reduce market exposure.\n\nLooking at their factor exposure analysis (stress testing docs), something jumps out: theyāre NOT actually factor neutral. The āManager Style Driftā chart shows S&P 500 exposure went from ~0 to 3+ sigma starting around 2020. Thatās⦠not neutral.\n\nDuring COVID-19 (Mar 2020), they had:\n\n- +2.21 S&P 500 exposure\n- -1.78 MSCI North America\n- Negative VIX exposure\n- Small cap and value growth tilts\n\nThese exposures are contradictory and suggest hidden factor bets that maybe even *they* didnāt fully recognize in their risk model. ORā¦. Models now take them on in short term alpha trades. \n\nThe correlation stress testing chart (bottom right in the docs) is particularly revealing. It shows correlations increase dramatically during stress periods meaning their hedges fail precisely when needed most. Classic quant nightmare. OR they are specifically taking on tilts. \n\nSo hereās my working theory on October 2025:\n\nAfter Feb 2023, they likely used their new flexibility to reduce net long exposure (or even go short). If you follow LIQUIDATION NATION it has been a factor bloodbath and historical moves⦠they could be:\n\n1. Underexposed to upside on longs\n1. Getting squeezed on shorts\n1. Watching āneutralā factors suddenly correlate\n\nWith 2.5x leverage, even a -6% strategy loss becomes -15%.\n\nAlt #2: This was a crowded trade unwind. If other quant funds were positioned similarly, forced liquidations could cascade. Market microstructure breaks down, liquidity evaporates, execution slippage compounds losses.\n\nAlt #3: They are running lower leverage and taking on FACTOR TIMING (how I think about the world.. maybe I am cope lol). \n\nAlt #4: Some option trade went haywire \n\nWhatās fascinating⦠is their models apparently didnāt see this coming. These are arguably the most sophisticated predictive models in finance, built by some of the smartest people in the world, with 30+ years of data and refinement.\n\nYet something in October 2025ās market structure was fundamentally different from their training data.\n\nQuestions Iām still thinking about:\n\n- Was this a regime change moment where historical factor relationships broke?\n- Did their factor definitions drift from market reality?\n- Was the Feb 2023 strategy change a mistake in hindsight?\n- Or was this just an unlucky tail event that any model would miss?\n\nThe humbling thing: if RenTechās models battle tested through multiple crashes, with the deepest talent pool in quantā¦.can get caught like this, what does that say about model risk more broadly?\n\nIām not trying to criticizeā¦genuinely trying to learn. When the best models fail, thereās usually a deep lesson about markets, risk, or regime change embedded in there.\n\nWould love to hear thoughts from other quant folks. What am I missing?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[{"indices":[1567,1571],"text":"VMW"}],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"5943622","name":"Marc Andreessen šŗšø","screen_name":"pmarca","indices":[976,983]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1979502392677646532","quoted_status_permalink":{"url":"https://t.co/aDL752rvGa","expanded":"https://twitter.com/jaredkubin/status/1979502392677646532","display":"x.com/jaredkubin/staā¦"},"retweeted":false,"fact_check":null,"id":"1982042903196111345","view_count":101979,"bookmark_count":329,"created_at":1761390827000,"favorite_count":353,"quote_count":0,"reply_count":8,"retweet_count":14,"user_id_str":"129401455","conversation_id_str":"1982042903196111345","full_text":"SAC Interview Process (circa 2012 so I am sure its diff now)\n\nOh boyā¦Since everyone liked the BW story⦠here is a different one⦠intense but in a diff way \n\nTLDR: Network like a crazy person. Preparation starts years before. Be likable. And most importantly⦠never give up.\n\nSTEP 1: I was working for a guy in NYC during the summer between year 1 & 2 at HBS. He spun out of GSS and started a PE firm⦠my job was to explain to LPs why money losing businesses like software and some alarm contract companies had great economics long term. This was 2012 when most people very skeptical of SaaS. This was right in my wheelhouse being a software entrepreneur before school. While I was in NYC I networked hard. MOST ignored me. I finally find a nice woman at SAC ⦠I bothered her soooo much she finally agreed to a coffee. No idea what she didā¦turned out she ran their TMT bus dev. We hit it off and she put me into their applicant pool for teams / PMs to review. Win. \n\nLesson: @pmarca was right on with the networking advice. If you canāt network your way to where you need to be⦠how can you be successful? You wonāt be\n\nI get back to Boston for year 2 and get a call saying there is a new team spinning up. They want me to formally interview for Boston office. Could I work and go to school? Damn right Iād figure it out. \n\nStep2. I go to the office and meet the PM⦠we will call him Big Mike. I went into their conference room and just talked with Big Mike. My background. My startups. Baseball. Was great. Then he slowly moved me into an almost verbal case study. $VMW was the big controversy at the time. We walked through the technology of hypervisors and VMs. How would I size an opportunity for VMs? What Big Mike didnāt know that I knew ā¦. there was new tech to squeeze more than 1 VM onto a standard server that was changing the industry. I was able to talk about the tech change happening from server silo to multiple machines on a single server. Was a HR. \n\nLesson: always be ready. I didnāt know I was getting a verbal case study. That was my only opportunity. Gotta be ready. Gotta seize it. \n\nStep 3: They pass me onto a senior analyst who is now one of the best TMT investors in multi strat land (currently yes). They gave me a modeling test. Basically a 3 statement excel with all the components messed up. I had 25 min. I didnāt do banking or PE⦠so I spent the whole fist year teaching myself this⦠I got everything organized in 20 min and everything was off by a factor of 10(?). I was like wtf. Big panic. With 1 minute to go I figured out the Revenue was in ASM and need to divide by the RASM (model turned out to be JETBLUE). Never looked at an airline before. The working capital was wonky also, good thing my test in accounting class that spring was this exact thing. Finished with 2 seconds left. Phew. HR was 130 easy. \n\nLesson: I spent a whole year waking up at 330am to teach myself financial modeling. Had no idea how it would pay off⦠it sure as hell did here in the 25 min I needed it. Do the work. \n\nStep4: I met the Boston office manager for another interview. More fit. He is legendary for his standing res at the Four Seasons. Was all about process and demands on the analysts. I had no idea what I was getting in toā¦\n\nLesson: You have to be likable. No one wants to work with someone that sucks even if a math phd HP machine. Especially in a high performance team \n\nBig Mike offered me the job after I did a couple projects for him. Amazing how the Lord works in our life. I look back and just like wow. It wasnāt fast. Had to beg my way in. But I never looked back. Steve was always good to me even as the lowest analyst on the totem pole. I think the best all time. GOAT.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982115148392481194","quoted_status_permalink":{"url":"https://t.co/QQ3cyMbSm9","expanded":"https://twitter.com/twoeggers/status/1982115148392481194","display":"x.com/twoeggers/statā¦"},"retweeted":false,"fact_check":null,"id":"1982115596473909529","view_count":51159,"bookmark_count":75,"created_at":1761408158000,"favorite_count":96,"quote_count":0,"reply_count":4,"retweet_count":1,"user_id_str":"129401455","conversation_id_str":"1982115596473909529","full_text":"Great context. Heard stories. 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Letās go. https://t.co/5lWGV5x1ne","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982425610443256164","quoted_status_permalink":{"url":"https://t.co/YCosGDhB7O","expanded":"https://twitter.com/blueprintsmb22/status/1982425610443256164","display":"x.com/blueprintsmb22ā¦"},"retweeted":false,"fact_check":null,"id":"1982442636335071719","view_count":74336,"bookmark_count":45,"created_at":1761486131000,"favorite_count":214,"quote_count":1,"reply_count":6,"retweet_count":2,"user_id_str":"129401455","conversation_id_str":"1982442636335071719","full_text":"Iāve been fortunate to be friends with Blue for over 10+ years. 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OpenAI shipped ChatGPT. And the smartest AI team in the world proved Gene Munster right: \"The classic team with all the talent that doesn't win the championship.\"\n\nWhat a time to be alive.. AI will have a profound impact on the world and here is arguable the most talented team in the world \"giving up\" on applying it to Financial markets... the article is clearly missing a lot of details but what can we assume? \n\nThree possibilities immediately come to mind:\n\n1. Finance is genuinely harder than protein folding: markets are adversarial, noisy, reflexive. Every edge decays. AlphaGo had clear rules... markets have none. Maybe the AI \"sometimes\" beat benchmarks in sims but couldn't survive real world chaos & regime shifts... hallucinations can kill a fund\n\n2. Hassabis saw the regulatory nightmare: an AI that can predict protein structures wins Nobels. An AI that trades billions triggers SEC investigations, flash crash inquiries, systemic risk concerns. Why fight that battle when you can \"solve intelligence\"? He just saw A BIGGER OPPORTUNITY in AGI (likely)\n\n3. The prosaic problem: the article says it all: when asked \"what's your product?\" Hassabis called it a \"prosaic question.\" Finance requires obsessive attention to execution, latency, risk management, compliance...all grubby (his word) details beneath someone chasing cosmic breakthroughs\n\nI think AI in the financial markets is the biggest opportunity of my lifetime.\nBut NOT because AI will replace traders or \"solve\" markets... because it solves the PROSAIC problems that actually kill funds\n\n1. Early Warning System\npost COVID markets are more violent and chaotic than ever... LIQUIDATION NATION is real. Human bandwidth is the bottleneck.. AI's will ingest: news streams, social sentiment, factor flows, macro regime shifts, custom alphas... ALL 24/7 in the future. \"Flag the liquidation anomaly before it cascades across subsectors\" Liquidation Nation isn't a meme....it's the new reality to understand for the next 10 years\n\n2. Data Synthesis\nThe \"drowning in data\" problem is real. You have...\n-10,000 news articles/day\n-real time factor performance\n-alternative data feeds\n-historical analogues\n- 10x more data based on diff strategies\nWho synthesizes this? A junior analyst? Good luck...\n\nAI doesn't just aggregate... it CONNECTS patterns humans miss. \"What macro regime are we in? What happened last time yields spiked 50bps in 3 days while momentum sold off?\" This is what our agent \"Stanley\" does. Custom trained on OUR factors, OUR data, time aware vectors. ChatGPT doesn't know what your \"Momentum Spread\" did yesterday... \n\nThe future is VERTICAL SPECIFIC AGENTS\n\n3. Build and Learn Faster:\n AI can generate + test hundreds of factor combinations automatically. \"Can I use LLMs to generate hypothesis driven factors that have statistical relevance? \"Yes. Agent analyzes market data ā picks top 20 factors ā computer validates ā agent suggests combos (\"what if we multiply these?\") ā pick winners ā explain why it works. Velocity matters.\nRegime detection > static models\n\n4. Vibe Coding:\nThe most underrated shift. \"No one is coming to save your job.\"\nThe fundamental investor who can't code is dead. The quant who only looks backward is dead. The analyst who thinks AI is \"just a tool\" is dead. Learn to vibe code. Ask the right questions. Let Claude Code execute. Let Stanley synthesize. Build your own tools. \n\nAI won't replace you...but an industry expert using AI will\n\nGoogleās top AI executive seeks the profound over profits and the āprosaicā | Reuters","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[15,50],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1756172724064399360","name":"Stephanie Guild, CFA","screen_name":"StephGuildNYC","indices":[0,14]}]},"favorited":false,"in_reply_to_screen_name":"StephGuildNYC","lang":"en","retweeted":false,"fact_check":null,"id":"1988772729345176051","view_count":419,"bookmark_count":0,"created_at":1762995342000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@StephGuildNYC Awesome Steph! Well put and šÆ agree","in_reply_to_user_id_str":"1756172724064399360","in_reply_to_status_id_str":"1988771764365668391","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,21],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1439976714","name":"Jeremy","screen_name":"jermvasquez","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"jermvasquez","lang":"en","retweeted":false,"fact_check":null,"id":"1988788310987403349","view_count":192,"bookmark_count":0,"created_at":1762999057000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@jermvasquez Awesome!","in_reply_to_user_id_str":"1439976714","in_reply_to_status_id_str":"1988786301156663387","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[13,44],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1943008646369034240","name":"Eric Schenck | Real Person Messaging","screen_name":"rpmessaging","indices":[0,12]}]},"favorited":false,"in_reply_to_screen_name":"rpmessaging","lang":"en","retweeted":false,"fact_check":null,"id":"1988765252884791317","view_count":205,"bookmark_count":0,"created_at":1762993560000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@rpmessaging A lot to figure out next decade","in_reply_to_user_id_str":"1943008646369034240","in_reply_to_status_id_str":"1988765151063888101","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,51],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1363379699368546305","name":"Malikaii.Mask","screen_name":"MalikaiiM","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"MalikaiiM","lang":"en","retweeted":false,"fact_check":null,"id":"1988785280783118799","view_count":75,"bookmark_count":0,"created_at":1762998335000,"favorite_count":1,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988574173296205883","full_text":"@MalikaiiM Thanks for the complimentā¦. Negative lol","in_reply_to_user_id_str":"1363379699368546305","in_reply_to_status_id_str":"1988784757040394540","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-15","value":221,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,274],"entities":{"hashtags":[],"media":[{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320206515093504","indices":[275,298],"media_key":"3_1989320206515093504","media_url_https":"https://pbs.twimg.com/media/G5t8MB3WwAAX7O1.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":630,"resize":"fit"},"medium":{"h":470,"w":630,"resize":"fit"},"small":{"h":470,"w":630,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":630,"focus_rects":[{"x":0,"y":0,"w":630,"h":353},{"x":160,"y":0,"w":470,"h":470},{"x":218,"y":0,"w":412,"h":470},{"x":339,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":630,"h":470}]},"media_results":{"result":{"media_key":"3_1989320206515093504"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320273355472896","indices":[275,298],"media_key":"3_1989320273355472896","media_url_https":"https://pbs.twimg.com/media/G5t8P63WAAAPX_-.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":626,"resize":"fit"},"medium":{"h":470,"w":626,"resize":"fit"},"small":{"h":470,"w":626,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":626,"focus_rects":[{"x":0,"y":0,"w":626,"h":351},{"x":31,"y":0,"w":470,"h":470},{"x":60,"y":0,"w":412,"h":470},{"x":149,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":626,"h":470}]},"media_results":{"result":{"media_key":"3_1989320273355472896"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320428431478784","indices":[275,298],"media_key":"3_1989320428431478784","media_url_https":"https://pbs.twimg.com/media/G5t8Y8kWEAAoL_Y.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":690,"resize":"fit"},"medium":{"h":470,"w":690,"resize":"fit"},"small":{"h":463,"w":680,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":690,"focus_rects":[{"x":0,"y":0,"w":690,"h":386},{"x":220,"y":0,"w":470,"h":470},{"x":278,"y":0,"w":412,"h":470},{"x":452,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":690,"h":470}]},"media_results":{"result":{"media_key":"3_1989320428431478784"}}}],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"extended_entities":{"media":[{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320206515093504","indices":[275,298],"media_key":"3_1989320206515093504","media_url_https":"https://pbs.twimg.com/media/G5t8MB3WwAAX7O1.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":630,"resize":"fit"},"medium":{"h":470,"w":630,"resize":"fit"},"small":{"h":470,"w":630,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":630,"focus_rects":[{"x":0,"y":0,"w":630,"h":353},{"x":160,"y":0,"w":470,"h":470},{"x":218,"y":0,"w":412,"h":470},{"x":339,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":630,"h":470}]},"media_results":{"result":{"media_key":"3_1989320206515093504"}}},{"display_url":"pic.x.com/356QcLkXB1","expanded_url":"https://x.com/JaredKubin/status/1989324769288757729/photo/1","id_str":"1989320273355472896","indices":[275,298],"media_key":"3_1989320273355472896","media_url_https":"https://pbs.twimg.com/media/G5t8P63WAAAPX_-.png","type":"photo","url":"https://t.co/356QcLkXB1","ext_media_availability":{"status":"Available"},"features":{"large":{"faces":[]},"medium":{"faces":[]},"small":{"faces":[]},"orig":{"faces":[]}},"sizes":{"large":{"h":470,"w":626,"resize":"fit"},"medium":{"h":470,"w":626,"resize":"fit"},"small":{"h":470,"w":626,"resize":"fit"},"thumb":{"h":150,"w":150,"resize":"crop"}},"original_info":{"height":470,"width":626,"focus_rects":[{"x":0,"y":0,"w":626,"h":351},{"x":31,"y":0,"w":470,"h":470},{"x":60,"y":0,"w":412,"h":470},{"x":149,"y":0,"w":235,"h":470},{"x":0,"y":0,"w":626,"h":470}]},"media_results":{"result":{"media_key":"3_1989320273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FRIDAY 11/14: Liquidation Nation edition... someone I respect asked me to start a Friday Factor series... lets try it out.. \n\nTo understand and operate in this regime of LIQUIDATION NATION... you need to understand factors. Not factors in the traditional sense....I'm talking about FLOW factors. Positioning factors. What's crowded. What's being puked. What's reversing mean.\n\nTHE LIQUIDATION SIGNATURE HAS BEEN SCREAMING for weeks (btw look at the NQZ5 volume between 6am-8am today) \n\nHere's what's actually happening:\n\nTHE PUKE: Quantum computing down -25% this week (!), Bitcoin miners -22%, AI power plays -21%. These aren't \"corrections\"... these are forced unwinds. Someone big got tapped from the Risk Ninjas, is underwater, and selling what they can, not what they want to\n\nTHE TELL: Look at the ZScores. Quantum computing at big negative Z means this move has been accelerating. AI power infrastructure? That's not price discovery. That's liquidation nation\n\nTHE CORRELATION BREAK: Korea Conglomerates +7.5%, Healthcare holding green all week, while crypto/quantum/uranium all nuking together. This ISN'T a macro selloff. This is SPECIFIC positioning getting blown out. Someone was long \"AI revolution 2.0\" basket and is actively degrossing / getting liquidated\n\nTHE HEDGE: Notice pharma/healthcare holding up? \"Make America Healthy Again\" at +4 Z-score? While speculative tech dies, defensive quality works. Classic hedge fund playbook: they're selling losers to cover, not selling winners\n\nTHE CROWDING INDICATOR: When you see this kind of Z-score dispersion, you're seeing crowded trades unwind in real-time. The factors moving like these Z moves don't just \"happen\" ...they happen when 50 funds hold the same \"theme\"\n\nBOTTOM LINE: \nIf you're holding big NEGATIVE ZScore positions on Monday thinking \"it can't go lower\"... you're the liquidity\n\nIf you're chasing BIG POSITIVE ZScore winners thinking \"momentum always works\"... you're late to a crowded trade that's about to get faded\n\nTHE ONLY WAY TO SURVIVE LIQUIDATION WAVES IS TO BE ANALYTICALLY RELENTLESS + INTELLECTUALLY DYNAMIC + ALWAYS ALWAYS MANAGE RISK\n\nNext Friday: we will talk spreads and risk management. Drop a comment on what you want to see and I will try to work it in\n\n{DATA}\n1. Weekly Top 10 / Bottom 10 Factors below\n2. Weekly Top 10 / Bottom 10 Z-SCORES below\n3. Top 10 / Bottom 10 Returns -> Z-SCORED","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[11,28],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1509008382060945410","name":"CRE Romans","screen_name":"creromans","indices":[0,10]}]},"favorited":false,"in_reply_to_screen_name":"creromans","lang":"en","retweeted":false,"fact_check":null,"id":"1989355768492273720","view_count":36,"bookmark_count":0,"created_at":1763134350000,"favorite_count":0,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1988997777632956887","full_text":"@creromans Whatās the cause?","in_reply_to_user_id_str":"1509008382060945410","in_reply_to_status_id_str":"1988997777632956887","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-16","value":14,"startTime":1763164800000,"endTime":1763251200000,"tweets":[{"bookmarked":false,"display_text_range":[0,268],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1989417492582899872","quoted_status_permalink":{"url":"https://t.co/mEHn7fYWPJ","expanded":"https://twitter.com/artificialanlys/status/1989417492582899872","display":"x.com/artificialanlyā¦"},"retweeted":false,"fact_check":null,"id":"1989695111467278797","view_count":3189,"bookmark_count":14,"created_at":1763215255000,"favorite_count":13,"quote_count":0,"reply_count":1,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"Foundation model economics look increasingly āchallengedā as is. Weāre watching near zero switching costs meet marginal differentiation⦠GPT 5.1 gains just +2 points over GPT5 while cutting costs ~6%. BEARS will say massive capex, diminishing returns, inevitable price compression as capabilities converge.\n\nBULLS will say there are two worlds where this makes sense:\n\n1 Vertical integration where models become loss leaders for ecosystems⦠MSFT and GOOGL bundle into workspace, AAPL into devices. The margin lives in adjacent services, not the model itself. OAI pushing into chat / advertising / adult content is the tell to me\n\n2 Pure distribution moats⦠ChatGPTās 300M+ users mean even commoditized products win with scale. Think AWS commoditizing compute but owning the entire marketplace and (fees). OAI App Store?\n\nThe issue is a race to bottom happens when pure play API providers compete solely on price/performance⦠when no proprietary data moats emerge⦠when inference costs collapse faster than willingness to absorb fee increases \n\nThe GPT 5.1 update gives us incremental insight into the future⦠marginal intelligence gains, focus shifted to āpersonalityā and steering into an āecosystemā\n\nSustainable economics require either owning distribution or making the model a feature, not the product. Everything else is a commodity play with VC subsidized pricing until someone blinks or canāt get financing","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[17,52],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2798335405","name":"Cam Mackintosh","screen_name":"RelativInvestor","indices":[0,16]}]},"favorited":false,"in_reply_to_screen_name":"RelativInvestor","lang":"en","retweeted":false,"fact_check":null,"id":"1989702224499363907","view_count":53,"bookmark_count":0,"created_at":1763216951000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989695111467278797","full_text":"@RelativInvestor Agreed. Big wave M&A coming imo","in_reply_to_user_id_str":"2798335405","in_reply_to_status_id_str":"1989701753755816445","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-17","value":3,"startTime":1763251200000,"endTime":1763337600000,"tweets":[{"bookmarked":false,"display_text_range":[14,122],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1779775861589504000","name":"sysls","screen_name":"systematicls","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"systematicls","lang":"en","retweeted":false,"fact_check":null,"id":"1990041698865660249","view_count":1237,"bookmark_count":2,"created_at":1763297888000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1990041117224824974","full_text":"@systematicls People could just skip all that⦠train on t1_returns and be faster to market ⦠speed is the name of the game","in_reply_to_user_id_str":"1779775861589504000","in_reply_to_status_id_str":"1990041117224824974","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2244127460","name":"Unemployed Capital Allocator","screen_name":"atelicinvest","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"atelicinvest","lang":"en","retweeted":false,"fact_check":null,"id":"1990035051069718923","view_count":532,"bookmark_count":0,"created_at":1763296303000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989924643034239201","full_text":"@atelicinvest Vibes have shifted","in_reply_to_user_id_str":"2244127460","in_reply_to_status_id_str":"1989924643034239201","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-18","value":0,"startTime":1763337600000,"endTime":1763424000000,"tweets":[]}],"nviews":[{"label":"2025-10-19","value":1051963,"startTime":1760745600000,"endTime":1760832000000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1979396139343622255","quoted_status_permalink":{"url":"https://t.co/NxRS4QeQMB","expanded":"https://twitter.com/lootdropcapital/status/1979396139343622255","display":"x.com/lootdropcapitaā¦"},"retweeted":false,"fact_check":null,"id":"1979502392677646532","view_count":802598,"bookmark_count":578,"created_at":1760785122000,"favorite_count":1067,"quote_count":10,"reply_count":37,"retweet_count":33,"user_id_str":"129401455","conversation_id_str":"1979502392677646532","full_text":"I did 3 rounds of interviews with BW. It was ⦠an āexperienceā \n\n1. Dinner -> seemed normal enough⦠I had no idea what to expect. Was at the top restaurant in Cambridge⦠anything we wanted. As a starving MBA, was a highlight. Invited to a debate after. \n\n2. 8 person debate. Objective was bring a ācontroversialā topic to debate. 3 I remember \n- āis the illusion of choice limiting for humansā\n- ākill 1 person to save 1m peopleā\n- mine⦠āshould the government regulate the internetā \n\nI love debate and donāt take much personal ⦠was intense and fun. \n\n3. I was then passed on to a psychologist in Canada? Asked me a serious of questions for 2 hours ok the phone. Iām trying to remember ⦠said the goal was to measure my brain and Frontal Cortex? This was close to 15 yrs ago. I found the questions kinda silly. How could some PHD understand me from a 2 hr call? \n\nAnyway they dinged me after round three. I guess my Frontal Cortex wasnāt developed or big enough. \n\nLots of BW lurkers on here ⦠and some public alum. 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For context, this is the firm thatās basically *the* gold standard in quant investing. My thought project this early morning is to piece together what happenedā¦because if RenTechās models break, that tells us something IMPORTANT about markets right now.\n\n*I found these attachments on the internet someone loaded up⦠could be made up or wrong. Letās assume they are rightā¦\n\nRIEF runs ~$20B, supposedly factor neutral, market neutral-ish, with 2.5x leverage. The strategy is automated statistical arbitrage across thousands of long/short positions. Beta target of 0.4 or lower. These guys donāt blow up. So what changed?\n\nHereās where it gets interesting. In Feb 2023, they modified their strategy. Old target: net $100 long per $100 equity. New target: āNOT be greater than $100 net long⦠but with NO OBJECTIVE that it not be less.ā\n\nWaitā¦.they removed the floor? Thatās a massive shift. It allows them to go net short or significantly reduce market exposure.\n\nLooking at their factor exposure analysis (stress testing docs), something jumps out: theyāre NOT actually factor neutral. The āManager Style Driftā chart shows S&P 500 exposure went from ~0 to 3+ sigma starting around 2020. Thatās⦠not neutral.\n\nDuring COVID-19 (Mar 2020), they had:\n\n- +2.21 S&P 500 exposure\n- -1.78 MSCI North America\n- Negative VIX exposure\n- Small cap and value growth tilts\n\nThese exposures are contradictory and suggest hidden factor bets that maybe even *they* didnāt fully recognize in their risk model. ORā¦. Models now take them on in short term alpha trades. \n\nThe correlation stress testing chart (bottom right in the docs) is particularly revealing. It shows correlations increase dramatically during stress periods meaning their hedges fail precisely when needed most. Classic quant nightmare. OR they are specifically taking on tilts. \n\nSo hereās my working theory on October 2025:\n\nAfter Feb 2023, they likely used their new flexibility to reduce net long exposure (or even go short). If you follow LIQUIDATION NATION it has been a factor bloodbath and historical moves⦠they could be:\n\n1. Underexposed to upside on longs\n1. Getting squeezed on shorts\n1. Watching āneutralā factors suddenly correlate\n\nWith 2.5x leverage, even a -6% strategy loss becomes -15%.\n\nAlt #2: This was a crowded trade unwind. If other quant funds were positioned similarly, forced liquidations could cascade. Market microstructure breaks down, liquidity evaporates, execution slippage compounds losses.\n\nAlt #3: They are running lower leverage and taking on FACTOR TIMING (how I think about the world.. maybe I am cope lol). \n\nAlt #4: Some option trade went haywire \n\nWhatās fascinating⦠is their models apparently didnāt see this coming. These are arguably the most sophisticated predictive models in finance, built by some of the smartest people in the world, with 30+ years of data and refinement.\n\nYet something in October 2025ās market structure was fundamentally different from their training data.\n\nQuestions Iām still thinking about:\n\n- Was this a regime change moment where historical factor relationships broke?\n- Did their factor definitions drift from market reality?\n- Was the Feb 2023 strategy change a mistake in hindsight?\n- Or was this just an unlucky tail event that any model would miss?\n\nThe humbling thing: if RenTechās models battle tested through multiple crashes, with the deepest talent pool in quantā¦.can get caught like this, what does that say about model risk more broadly?\n\nIām not trying to criticizeā¦genuinely trying to learn. When the best models fail, thereās usually a deep lesson about markets, risk, or regime change embedded in there.\n\nWould love to hear thoughts from other quant folks. What am I missing?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[{"indices":[1567,1571],"text":"VMW"}],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"5943622","name":"Marc Andreessen šŗšø","screen_name":"pmarca","indices":[976,983]}]},"favorited":false,"lang":"en","quoted_status_id_str":"1979502392677646532","quoted_status_permalink":{"url":"https://t.co/aDL752rvGa","expanded":"https://twitter.com/jaredkubin/status/1979502392677646532","display":"x.com/jaredkubin/staā¦"},"retweeted":false,"fact_check":null,"id":"1982042903196111345","view_count":101979,"bookmark_count":329,"created_at":1761390827000,"favorite_count":353,"quote_count":0,"reply_count":8,"retweet_count":14,"user_id_str":"129401455","conversation_id_str":"1982042903196111345","full_text":"SAC Interview Process (circa 2012 so I am sure its diff now)\n\nOh boyā¦Since everyone liked the BW story⦠here is a different one⦠intense but in a diff way \n\nTLDR: Network like a crazy person. Preparation starts years before. Be likable. And most importantly⦠never give up.\n\nSTEP 1: I was working for a guy in NYC during the summer between year 1 & 2 at HBS. He spun out of GSS and started a PE firm⦠my job was to explain to LPs why money losing businesses like software and some alarm contract companies had great economics long term. This was 2012 when most people very skeptical of SaaS. This was right in my wheelhouse being a software entrepreneur before school. While I was in NYC I networked hard. MOST ignored me. I finally find a nice woman at SAC ⦠I bothered her soooo much she finally agreed to a coffee. No idea what she didā¦turned out she ran their TMT bus dev. We hit it off and she put me into their applicant pool for teams / PMs to review. Win. \n\nLesson: @pmarca was right on with the networking advice. If you canāt network your way to where you need to be⦠how can you be successful? You wonāt be\n\nI get back to Boston for year 2 and get a call saying there is a new team spinning up. They want me to formally interview for Boston office. Could I work and go to school? Damn right Iād figure it out. \n\nStep2. I go to the office and meet the PM⦠we will call him Big Mike. I went into their conference room and just talked with Big Mike. My background. My startups. Baseball. Was great. Then he slowly moved me into an almost verbal case study. $VMW was the big controversy at the time. We walked through the technology of hypervisors and VMs. How would I size an opportunity for VMs? What Big Mike didnāt know that I knew ā¦. there was new tech to squeeze more than 1 VM onto a standard server that was changing the industry. I was able to talk about the tech change happening from server silo to multiple machines on a single server. Was a HR. \n\nLesson: always be ready. I didnāt know I was getting a verbal case study. That was my only opportunity. Gotta be ready. Gotta seize it. \n\nStep 3: They pass me onto a senior analyst who is now one of the best TMT investors in multi strat land (currently yes). They gave me a modeling test. Basically a 3 statement excel with all the components messed up. I had 25 min. I didnāt do banking or PE⦠so I spent the whole fist year teaching myself this⦠I got everything organized in 20 min and everything was off by a factor of 10(?). I was like wtf. Big panic. With 1 minute to go I figured out the Revenue was in ASM and need to divide by the RASM (model turned out to be JETBLUE). Never looked at an airline before. The working capital was wonky also, good thing my test in accounting class that spring was this exact thing. Finished with 2 seconds left. Phew. HR was 130 easy. \n\nLesson: I spent a whole year waking up at 330am to teach myself financial modeling. Had no idea how it would pay off⦠it sure as hell did here in the 25 min I needed it. Do the work. \n\nStep4: I met the Boston office manager for another interview. More fit. He is legendary for his standing res at the Four Seasons. Was all about process and demands on the analysts. I had no idea what I was getting in toā¦\n\nLesson: You have to be likable. No one wants to work with someone that sucks even if a math phd HP machine. Especially in a high performance team \n\nBig Mike offered me the job after I did a couple projects for him. Amazing how the Lord works in our life. I look back and just like wow. It wasnāt fast. Had to beg my way in. But I never looked back. Steve was always good to me even as the lowest analyst on the totem pole. I think the best all time. GOAT.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,55],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982115148392481194","quoted_status_permalink":{"url":"https://t.co/QQ3cyMbSm9","expanded":"https://twitter.com/twoeggers/status/1982115148392481194","display":"x.com/twoeggers/statā¦"},"retweeted":false,"fact_check":null,"id":"1982115596473909529","view_count":51159,"bookmark_count":75,"created_at":1761408158000,"favorite_count":96,"quote_count":0,"reply_count":4,"retweet_count":1,"user_id_str":"129401455","conversation_id_str":"1982115596473909529","full_text":"Great context. Heard stories. 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Letās go. https://t.co/5lWGV5x1ne","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,276],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1982425610443256164","quoted_status_permalink":{"url":"https://t.co/YCosGDhB7O","expanded":"https://twitter.com/blueprintsmb22/status/1982425610443256164","display":"x.com/blueprintsmb22ā¦"},"retweeted":false,"fact_check":null,"id":"1982442636335071719","view_count":74336,"bookmark_count":45,"created_at":1761486131000,"favorite_count":214,"quote_count":1,"reply_count":6,"retweet_count":2,"user_id_str":"129401455","conversation_id_str":"1982442636335071719","full_text":"Iāve been fortunate to be friends with Blue for over 10+ years. 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OpenAI shipped ChatGPT. And the smartest AI team in the world proved Gene Munster right: \"The classic team with all the talent that doesn't win the championship.\"\n\nWhat a time to be alive.. AI will have a profound impact on the world and here is arguable the most talented team in the world \"giving up\" on applying it to Financial markets... the article is clearly missing a lot of details but what can we assume? \n\nThree possibilities immediately come to mind:\n\n1. Finance is genuinely harder than protein folding: markets are adversarial, noisy, reflexive. Every edge decays. AlphaGo had clear rules... markets have none. Maybe the AI \"sometimes\" beat benchmarks in sims but couldn't survive real world chaos & regime shifts... hallucinations can kill a fund\n\n2. Hassabis saw the regulatory nightmare: an AI that can predict protein structures wins Nobels. An AI that trades billions triggers SEC investigations, flash crash inquiries, systemic risk concerns. Why fight that battle when you can \"solve intelligence\"? He just saw A BIGGER OPPORTUNITY in AGI (likely)\n\n3. The prosaic problem: the article says it all: when asked \"what's your product?\" Hassabis called it a \"prosaic question.\" Finance requires obsessive attention to execution, latency, risk management, compliance...all grubby (his word) details beneath someone chasing cosmic breakthroughs\n\nI think AI in the financial markets is the biggest opportunity of my lifetime.\nBut NOT because AI will replace traders or \"solve\" markets... because it solves the PROSAIC problems that actually kill funds\n\n1. Early Warning System\npost COVID markets are more violent and chaotic than ever... LIQUIDATION NATION is real. Human bandwidth is the bottleneck.. AI's will ingest: news streams, social sentiment, factor flows, macro regime shifts, custom alphas... ALL 24/7 in the future. \"Flag the liquidation anomaly before it cascades across subsectors\" Liquidation Nation isn't a meme....it's the new reality to understand for the next 10 years\n\n2. Data Synthesis\nThe \"drowning in data\" problem is real. You have...\n-10,000 news articles/day\n-real time factor performance\n-alternative data feeds\n-historical analogues\n- 10x more data based on diff strategies\nWho synthesizes this? A junior analyst? Good luck...\n\nAI doesn't just aggregate... it CONNECTS patterns humans miss. \"What macro regime are we in? What happened last time yields spiked 50bps in 3 days while momentum sold off?\" This is what our agent \"Stanley\" does. Custom trained on OUR factors, OUR data, time aware vectors. ChatGPT doesn't know what your \"Momentum Spread\" did yesterday... \n\nThe future is VERTICAL SPECIFIC AGENTS\n\n3. Build and Learn Faster:\n AI can generate + test hundreds of factor combinations automatically. \"Can I use LLMs to generate hypothesis driven factors that have statistical relevance? \"Yes. Agent analyzes market data ā picks top 20 factors ā computer validates ā agent suggests combos (\"what if we multiply these?\") ā pick winners ā explain why it works. Velocity matters.\nRegime detection > static models\n\n4. Vibe Coding:\nThe most underrated shift. \"No one is coming to save your job.\"\nThe fundamental investor who can't code is dead. The quant who only looks backward is dead. The analyst who thinks AI is \"just a tool\" is dead. Learn to vibe code. Ask the right questions. Let Claude Code execute. Let Stanley synthesize. 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FRIDAY 11/14: Liquidation Nation edition... someone I respect asked me to start a Friday Factor series... lets try it out.. \n\nTo understand and operate in this regime of LIQUIDATION NATION... you need to understand factors. 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Weāre watching near zero switching costs meet marginal differentiation⦠GPT 5.1 gains just +2 points over GPT5 while cutting costs ~6%. BEARS will say massive capex, diminishing returns, inevitable price compression as capabilities converge.\n\nBULLS will say there are two worlds where this makes sense:\n\n1 Vertical integration where models become loss leaders for ecosystems⦠MSFT and GOOGL bundle into workspace, AAPL into devices. The margin lives in adjacent services, not the model itself. OAI pushing into chat / advertising / adult content is the tell to me\n\n2 Pure distribution moats⦠ChatGPTās 300M+ users mean even commoditized products win with scale. Think AWS commoditizing compute but owning the entire marketplace and (fees). OAI App Store?\n\nThe issue is a race to bottom happens when pure play API providers compete solely on price/performance⦠when no proprietary data moats emerge⦠when inference costs collapse faster than willingness to absorb fee increases \n\nThe GPT 5.1 update gives us incremental insight into the future⦠marginal intelligence gains, focus shifted to āpersonalityā and steering into an āecosystemā\n\nSustainable economics require either owning distribution or making the model a feature, not the product. 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Big wave M&A coming imo","in_reply_to_user_id_str":"2798335405","in_reply_to_status_id_str":"1989701753755816445","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-17","value":1769,"startTime":1763251200000,"endTime":1763337600000,"tweets":[{"bookmarked":false,"display_text_range":[14,122],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"1779775861589504000","name":"sysls","screen_name":"systematicls","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"systematicls","lang":"en","retweeted":false,"fact_check":null,"id":"1990041698865660249","view_count":1237,"bookmark_count":2,"created_at":1763297888000,"favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1990041117224824974","full_text":"@systematicls People could just skip all that⦠train on t1_returns and be faster to market ⦠speed is the name of the game","in_reply_to_user_id_str":"1779775861589504000","in_reply_to_status_id_str":"1990041117224824974","is_quote_status":0,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[14,32],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"2244127460","name":"Unemployed Capital Allocator","screen_name":"atelicinvest","indices":[0,13]}]},"favorited":false,"in_reply_to_screen_name":"atelicinvest","lang":"en","retweeted":false,"fact_check":null,"id":"1990035051069718923","view_count":532,"bookmark_count":0,"created_at":1763296303000,"favorite_count":2,"quote_count":0,"reply_count":0,"retweet_count":0,"user_id_str":"129401455","conversation_id_str":"1989924643034239201","full_text":"@atelicinvest Vibes have shifted","in_reply_to_user_id_str":"2244127460","in_reply_to_status_id_str":"1989924643034239201","is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-18","value":0,"startTime":1763337600000,"endTime":1763424000000,"tweets":[]}]},"interactions":{"users":[{"created_at":1516975768000,"uid":"956891845337997313","id":"956891845337997313","screen_name":"WilliamMankivs1","name":"William Mankivsky","friends_count":722,"followers_count":1510,"profile_image_url_https":"https://pbs.twimg.com/profile_images/963604501541335040/6ytBwIhr_normal.jpg","description":"Husband and father; Lifelong learner; Bostonian but Chicagoan at heart...Benet, Hillsdale, U of Chicago, Fidelity/Harvard Management /Adage Capital Partner","entities":{"description":{"urls":[]}},"interactions":1},{"created_at":1351533556000,"uid":"912932546","id":"912932546","screen_name":"obsidiancap1","name":"obsidian capital","friends_count":948,"followers_count":4952,"profile_image_url_https":"https://pbs.twimg.com/profile_images/378800000826896274/cc5e94e81d6b16e65bf89962b214175b_normal.jpeg","description":"LO technology investor","entities":{"description":{"urls":[]}},"interactions":1},{"created_at":1485804207000,"uid":"826148841984499713","id":"826148841984499713","screen_name":"Schecter_Six","name":"Max","friends_count":890,"followers_count":1892,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1521218680398483460/x7sB2SQ6_normal.jpg","description":"Sharing thoughts about human behavior, data driven trade ideas, and the occasional guitar riff. 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