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lead @ExochartsC | building @EntropiaTrading | price action trader | order flow, statistics & transparency

104 following40k followers

The Thought Leader

Luckshury is a price action trading guru who combines transparency with detailed analysis, making complex trading concepts accessible to aspiring traders. With a wealth of knowledge shared through insightful threads, they engage and educate their growing audience on the intricacies of order flow and liquidity. As the lead at ExochartsC and builder of EntropiaTrading, Luckshury is paving the way for a new generation of informed traders.

Impressions
1.4M-27.4k
$273.67
Likes
12.6k-474
57%
Retweets
1.5k-71
7%
Replies
467-28
2%
Bookmarks
7.3k266
33%

Luckshury's tweets on trading might just be the only time you'll see someone get excited about order flow and liquidity—seriously, you've got the enthusiasm of a kid in a candy store who just discovered a new favorite sour candy!

Successfully creating a significant following by consistently providing valuable content that not only informs but also engages the trading community.

To empower individuals to achieve financial independence through education in trading strategies, emphasizing transparency and clarity.

Luckshury values honesty and transparency in trading, believing that informed traders make better decisions. They hold the belief that anyone can succeed with the right education and resources.

An exceptional ability to break down complex trading concepts into digestible, engaging threads that resonate with followers.

May occasionally overwhelm followers with technical details, risking alienation of beginner traders who are still learning the ropes.

To grow your audience on X, consider engaging more with your followers. Host Q&A sessions or live trading discussions to foster a sense of community and provide real-time insights.

Luckshury has tweeted over 5,000 times, showcasing their commitment to engaging and educating their audience continually.

Most engaged tweets of Luckshury

I went through someone's journal in an extremely detailed manner. Here are all the findings and key notes to take from that review: 1. Fees They were constantly entering almost EVERY trade at market, tallying up to roughly $9,200 in fees. It is important to note that their PNL on this account was actually net negative at -$6,300. Fees alone are putting them in the red. Now I'm not suggesting that you can completely eliminate fees from your trading, but instead of entering and exiting at market, change to entering every trade at limit and only exiting at market. This alone would slash their market fees by 30% or more, instantly having a net positive effect on PNL. It is important to note, that changing to entering at limit has drawbacks but let's talk through it: No instant fill - meaning you have to be patient, fortunately enough you can check your MAE on winners only (how far a trade goes offside before hitting target), he was always getting pushed offside by at least 0.01%. So it makes sense to remain patient as you do not need an instant fill, already proven through his own statistics. 2. Sizing They were sizing up and down risk based on hunch/gut feeling, no graded setups, no metrics at all, and it showed. I personally believe that trading with different bet sizes is more profitable. However, most people (as in this case) have no system for differentiating their sizing. In this scenario, simply betting the same amount on all the trades they had taken would have significantly improved their PNL. What I have suggested moving forward: Bet the same on every setup, and over the next 100+ trades, we will separate each individual setup with a different grade, based on: - win rate - average R (avg win/avg loser) Betting more on metrically backed better setups. 3. Not maximising winning trades Almost 80% of the winning trades they took, they would close out extremely quickly in my opinion without any considerable weakness in that trade either. They are entering trades without thinking about any sort of targets or target areas. They were thinking about this stuff as an afterthought of the trading process, meaning whenever they saw even the slightest weakness, they would close the entire position due to lack of conviction or planning. From now on, before entering any trade, they should know where they would like to target for this trade, but also why they would want to target that level. The easiest way, in my opinion, to have conviction in a target being hit is through collecting data on high hit rate levels. For example, the chance today's poor high is revisited is X%, hence the long I'm taking I will look to target there. You do not have to have a statistically backed level for targets, but it makes life a lot easier. At the bare minimum, know where your FTA (first trouble area) is, such as a POC, S/R level, etc. Just plan before you execute. Then once you're in the trade, continue to monitor your evolving R. I will not deep dive into this; I suggest you go read/watch about this from @Trader_Dante 4. Blowout Days Day 1 +$420 Day 2 +$800 Day 3 + $519 Day 4 - $1100 What in the actual fuck. One single day blowing out days worth of profit. This was a fairly simple fix from my standpoint, implementing a day stop (-3r) especially since there was a pattern between winning and losing days: No winning day ever went past a draw down of -2r. So if all your winning days never go beyond the point of -2r, how can you allow days that are bad to end up being -6/7r. Implementing a day stop should immediately fix this. 5. Setups vs Conditions They were trading all different setups through all different conditions. The market could be trending and they are trading their reversal setup, or it could be rangebound and they're trading a more trend-based setup. Categorise your setups to different market conditions. If you're trading a trend-based setup in suboptimal conditions, you are just hindering its expectancy. This means you have to be able to identify market conditions (most people can't do this). Here's what I suggest: - Implement a checklist for just identifying market conditions: What is the daily timeframe doing? What is the market doing from the open, etc.? This means you will end up sitting on your hands a lot more as you're waiting for optimal conditions for each setup. But if it means you will be increasing expectancy per setup, why would you not do this? Problems don't solve themselves; you have to be able to identify, implement, and execute solutions. It's part of the business, being a professional problem-solver. Note - This journal has around 430+ trades from time of review

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