AI Weekly Trade Review: What It Should Tell You (And What It Should Not)
Sunday reviews fail when they become homework. The point is one clear fix, not a dissertation on every ticker you touched.
Profit AI Research · 8 min read · Updated Table of contents
Your broker statement tells you if you made money. The review tells you why, and what would have happened if you followed your plan. That gap is where accounts compound or die.
What a good review includes
- Win rate and average R for in-plan vs out-of-plan trades
- Best and worst session by expectancy
- Largest single leak (late entries, wide stops, oversize)
- One recommended focus for the next five sessions
What to ignore
Ignore vague encouragement. Ignore market predictions. Ignore twenty-chart PDFs you will not read. If the review does not end with an action you can verify next Friday, skip it.
Profit AI builds its insights from statistics calculated directly from your synced or imported trades (drawdown, R-multiples, results by session and hour, what happens after two losses in a row, and rule breaks), so every sentence points at a number you can verify. Weekly and monthly reports are there too, and export to CSV.
Frequently asked questions
About the author
Profit AI ResearchTrading Research TeamProfit AI Research is the in-house team behind the analyses, journal models, and Trader Score methodology used by 200,000+ traders. The team combines active discretionary traders, quantitative researchers, and ML engineers focused on price action, market structure, and prop-firm risk modeling.
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