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 ResearchTrading Research Team
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 writes reviews from your synced history and strategy tags, so the text references your actual behavior, not generic trader quotes.
Frequently asked questions
- How is AI review different from dashboard stats?
- Dashboards show numbers. A review interprets them in order of impact and suggests a single priority. That ordering is what saves time.
About the author
Profit AI Research
Trading Research Team
Profit AI Research is the in-house team behind the analyses, journal models, and Trader Score methodology used by 170,000+ 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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