{"id":"2059621877211881699","url":"https://x.com/KoroushAK/status/2059621877211881699","text":"","author":{"name":"Koroush AK","username":"KoroushAK","avatarUrl":"https://pbs.twimg.com/profile_images/1924529819707949056/aGmvqmsM_200x200.jpg"},"createdAt":"Wed May 27 13:04:56 +0000 2026","engagement":{"replies":23,"retweets":44,"likes":206,"views":161137},"article":{"title":"How to Use Claude to Review Your Trade Journal","previewText":"If you’re a trader, you can’t afford to miss this.\nI will show you how to use Claude to review your Trade Journal (journal + prompts included).\nWhat you'll have when you're done:\nA repeatable monthly","coverImageUrl":"https://pbs.twimg.com/media/HJUhzGKWsAYVN3E.jpg","content":"If you’re a trader, you can’t afford to miss this.\n\nI will show you how to use Claude to review your Trade Journal (journal + prompts included).\n\nWhat you'll have when you're done:\n\n- A repeatable monthly review process that turns raw trade data into rules you can actually trade\n\n- A clear path from observation → hypothesis → tested rule\n\n- Optional: Claude reading your trading journal directly off your laptop to speed up the analysis (no context limit failures, no matter how big the journal gets)\n\nDifficulty: Beginner. No coding required. You'll be writing prompts in plain English.\n\nLet's begin.\n\n# Why journal insights even matter\n\nYou’re right to ask this question.\n\nTime is valuable. So why should you, as an aspiring trader, spend it reviewing your journal for insights?\n\nWhy not, for example, spend it taking more trades?\n\n## The reason is that a good journal review process starts an improvement chain:\n\n![A good journal review process starts an improvement chain](https://pbs.twimg.com/media/HJUibcoXQAMVdxI.jpg)\n\nYou can also understand the importance of journal reviews through an inversion exercise. I got this idea from Charlie Munger.\n\nSo far, I've discussed why you should be reviewing your journal. Now, let's take a different approach: \n\n## How would I guarantee I fail for as long as possible as a trader?\n\nTo guarantee failure as a trader, I would:\n\n1. Never keep a trade journal\n\n1. Blame losses on luck\n\n1. Attribute wins to skill\n\n1. Never change my strategy based on data\n\nIf our goal is to avoid guaranteed failure, then we should do the opposite of the above.\n\nNow you understand the why, let’s move on to the how.\n\n# Part 1: Get your free journal, 1:1 review session and custom Claude assistant\n\nI’ve put together a few things to help you.\n\n- My 2026 free trading journal. You need a journal to complete a journal review. I’ve built one you can use with all the necessary features.\n\n- A free 1:1 journal review session with my team. Yes, a real call with a real human. In case you’d like some 1 on 1 help with your journal review.\n\n- A custom Claude assistant to edit your journal. Go beyond the default view access. Claude will be able to edit your journal and write formulas for you.\n\n## 👉 To access them,[ click her](https://go.koroushak.io/journaling_guide_pdf)e. \n\n(If you have your own journal you want to use, that’s fine. Just make sure it covers the key inputs in Part 3)\n\n# Part 2: Connect Claude (Optional)\n\nYou can run this entire process manually if you want. The goal of using Claude is to speed up your review and go deeper into pattern recognition.\n\nIf you want to use it, here's the setup (5 minutes):\n\n- Step 1: Open Claude Chat\n\n- Step 2: Download your journal as an excel file (File → Download → Microsoft Excel) and save it into the folder.\n\n- Step 3: Paste your file into a chat\n\nThat’s it for now.\n\n# Part 3: Key inputs\n\nThese are the key pieces of data we need to track for a good journal review:\n\n![The key pieces of data we need to track for a good journal review](https://pbs.twimg.com/media/HJUo7-SWYAEyKE3.jpg)\n\nI'll break down how you can use these to build profitable strategies in step 2.\n\n# Part 4: The monthly review\n\nYou should do a big research review once a month. This is different to your lighter, maintenance style weekly review.\n\n- Maintenance review = Weekly review. Easy quick review: opening screenshots, seeing what's working and what's not in the current week/market condition.\n\n- Research review = Monthly review that is more in-depth, diving into data, finding ways to improve your strategy, rules, and framework.\n\n## 30 is the golden number of trades for a review.\n\n![30 is the golden number of trades for a review.](https://pbs.twimg.com/media/HJUprEVW4AABeKt.jpg)\n\nThis gives you enough data for patterns to emerge without waiting so long that you've accumulated months of unexamined mistakes.\n\n(For the maths nerds: 30 is the minimum threshold for statistical significance.)\n\nIf you have fewer than 30, you can still do your review, but know that your data is less reliable.\n\n# Step 1: Begin with the most important statistics\n\nBefore you dive into specific patterns or individual trades, you need to answer a fundamental question: is your system making money, losing money, or breaking even?\n\nIf you’re on my free journal, head over to the analytics tab and use the ‘Last Month’ feature.\n\n## The most important statistics here are:\n\n1. Expected Value or Expectancy: This tells you if your strategy is profitable.\n\n1. Trade Frequency: This tells you if your strategy gives you enough opportunities.\n\n![The most important statistics are: Expectancy and Trade Frequency](https://pbs.twimg.com/media/HJUp5e8XoAAm3Eg.jpg)\n\nYour expectancy is built from two things:\n\n- Win rate: What percentage of your trades are winners?\n\n- Risk-reward ratio (R:R): When you win, how much do you win relative to what you lose?\n\nOnce you've calculated your expectancy, you can identify whether your problem is:\n\n- Win rate too low: You're taking too many losing trades. The fix lives in trade selection and asset selection.\n\n- Average loss too large: Your losers are bigger than they should be. The fix lives in trade management.\n\n- Average win too small: You're cutting winners short or your targets are too tight. The fix lives in trade management and target optimisation.\n\nTo improve trade frequency, you can do:\n\n- Horizontal expansion: Test and iterate your same strategy in different markets. Trade new assets and markets.\n\n- Vertical expansion: Build new strategies to trade the same assets.\n\nWith Claude (helpful if your journal does not have an analytics tab similar to mine, or you want to sense check which of your statistics is currently dragging down your profitability)\n\nPaste to chat:\n\nExample:\n\n![](https://pbs.twimg.com/media/HJUqOHVXwAA37Ib.png)\n\n# Step 2: Filter by strategy and market\n\nYour overall expectancy might look mediocre. But that single number hides critical information.\n\nIt's possible that one strategy is highly profitable while another is bleeding you.\n\nOr that you're profitable in certain markets but consistently losing in others.\n\n## Market (Coin).\n\nYou will often find a select few assets responsible for most of your gains or losses.\n\nTrade those more.\n\n![You will often find a select few assets responsible for most of your gains or losses.](https://pbs.twimg.com/media/HJUqcBzWAAIV2--.jpg)\n\n## Strategy.\n\nFocus on the ONE strategy that makes you the most money and ignore everything else until you have mastered that.\n\nWithout a journal, you’ll never know what that one strategy is.\n\n![Focus on the ONE strategy that makes you the most money](https://pbs.twimg.com/media/HJUqjiVWkAAQOfs.jpg)\n\nWith Claude (this is helpful if you don’t want to be tabbing between the filters to grab each metric and just want one clear snapshot. It’s also useful to grab the specific 30 number rather than a time duration view):\n\nPaste to chat:\n\nThe flag list at the bottom is the important part. Those are the cuts worth investigating in Step 4.\n\nExample: \n\n![](https://pbs.twimg.com/media/HJUq7PeXUAEnZhP.png)\n\n# Step 3: Trade Management\n\n## Position Size and Emotional Journal.\n\nPay close attention to these two; they’re often correlated. If you're risking a consistent percentage on every trade, your results reflect your strategy's true performance.\n\nBut if your position sizes vary based on how you're feeling, your equity curve becomes unreliable.\n\n## Daily Report Card.\n\nFind and eliminate your weak points. Look for repeat patterns and behaviours.\n\nE.g. When I lose 3 trades in a row my execution goes down the drain, new trading rule: I stop trade after 3 losses\n\n![Find and eliminate your weak points. Look for repeat patterns and behaviours.](https://pbs.twimg.com/media/HJUraDmWUAIwjJ8.jpg)\n\n## R:R.\n\nI’ve actually seen a wide range of performance here.\n\nSome traders kill it on 1:1 risk to reward ratios. Don’t think you need high ratios to win.\n\n## Reason for Cutting The Trade & Cut Result\n\nFind ways to cut your losers quicker and keep them smaller than your winners. Track why you exited and whether it was the right call (over time, the patterns become obvious)\n\n## Trade Duration.\n\nEvery trade you take has a duration: the time between entry and exit. How long is your average winner? How long is your average loser?\n\nTurn this info into alpha.\n\nWith Claude (This is Claude’s superpower. Reading through written insights, spotting correlations and patterns. If you tried this manually, it would take you all day, and you wouldn’t be able to retain the patterns at scale. I’ve written you example commands, but my goal is that after running this, you know how to write whatever commands you like. Whatever pattern you want to spot, you can run a similar analysis):\n\nPatterns in language are exactly what Claude is good at finding. Paste to chat:\n\nExample: \n\n![](https://pbs.twimg.com/media/HJUrNdzW0AU8V0K.png)\n\nI'm using the full history here, not just the last 30 trades. So you need to give Claude some time to cook.\n\nBehavioural patterns need more data to surface, they cluster around specific events like losing streaks and big wins that might only appear a few times across a longer window.\n\nIf a word keeps showing up on losing days, that's your trigger. Once you can name it, you can build a rule around it, which is exactly where Step 4 starts.\n\n# Step 4: The insight formalisation process\n\nEvery insight follows the same path from observation to implemented rule:\n\n## Observation → Hypothesis → Specific Rule → Tracking Mechanism → Evaluation\n\nHere's how each step works:\n\n1. Observation: \"I noticed my momentum trades seem to lose more often when price spikes into the level.\"\n\n1. Hypothesis: \"Momentum trades perform better when price grinds into the level versus when it spikes.\"\n\n1. Specific Rule: \"Do not take momentum trades when price approaches the level via a fast vertical spike (defined as: a single candle moving 2%+ into the level within 1-2 candles).\"\n\n1. Tracking Mechanism: Add a column to your journal that records whether each trade met or violated this rule. Track the outcome.\n\n1. Evaluation: After 30 trades, compare the win rate of trades that followed the rule versus trades that would have been filtered out by it.\n\nNotice how the rule is specific enough to be testable. \"Don't trade spikes\" is vague. \"Don't take momentum trades when a single candle moves 2%+ into the level\" is precise. You can look at any trade and definitively say whether it met the criteria or not.\n\nWith Claude (here you are using Claude as a second brain. This targets the trading psychology aspect. Sometimes we want to force patterns and rules. Or we are more inclined to find reasons why they work rather than to invalidate them. Claude keeps you in check).\n\nUse Claude as a pressure-tester. Paste:\n\nOne last thing: when Claude proposes the rule, ask it the question most traders never ask themselves:\n\nIf you can't answer that, the rule isn't a rule. It's a preference.\n\n# Final Summary\n\n- Many traders are journaling, but very few of them actually use that data and become better traders\n\n- A good journal review starts an improvement chain: take trades → review → gain insight → change behaviour → skill increases → make more money\n\n- Part 1: Get your journal and review session. Available for free [here](https://go.koroushak.io/journaling_guide_pdf).\n\n- Part 2: Connect Claude (optional, but recommended for journals with hundreds of trades)\n\n- Part 3: Make sure your journal includes the key inputs\n\n- Part 4: Set a monthly cadence for your big review (at least 30 trades for a reliable pattern)\n\n- Step 1: Begin with the most important statistics, expected value and trade frequency\n\n- Step 2: Filter by strategy and market to identify your best performers\n\n- Step 3: Run the trade management checks\n\n- Step 4: Put all your insights together with the insight formalisation process\n\n# Further Education\n\n## Breakout and Reversal Strategy Guides\n\nIn case you don’t currently have multiple strategies, here are my breakout and reversal guides\n\n## My Morning Trading Routine\n\nIf you struggle to update your journal daily, check out my full morning routine.\n\n## Risk Management Guide\n\nIn Step 1, we discussed Expected Value. This guide will teach you exactly what that means.\n\n## P.S. I release masterclasses just like this every week for traders who are serious about reliably making money with trading. If that sounds like you, drop a follow to stay in the loop"}}