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AI Trading Journal
AI Trading Journal
How AI Generates Your Post-Trade Review
July 2026
5 min read
AI Coach
As covered in post-trade review: what to do after every session, a good review needs plan adherence, a rule-compliance rate, emotional state, and one specific adjustment — every single session, without exception. Compiling that from scratch, session after session, is exactly the kind of tedious, repetitive task that eventually stops happening.
Why Writing a Review From Scratch Gets Skipped
Manually comparing each trade against the morning's plan, calculating a rule-adherence percentage, and writing up a reflection takes real effort — effort that's hardest to summon exactly on the days a review matters most, like after a rough losing session. The review that would have been most valuable is the one most likely to get skipped.
The effort-value mismatch
The sessions that need the most careful review are usually the ones that leave the least motivation to write one. A manual process puts the highest effort requirement exactly where willingness is lowest.
What AI Compiles Automatically
Automatic
Plan-adherence check
AI compares each trade against the pre-market bias and setup criteria and reports the match rate directly — no manual comparison needed.
Automatic
Rule-compliance percentage
Calculated from tagged trade data the instant the session ends, replacing a manual tally with an instant, accurate figure.
Automatic
Sizing and timing patterns
AI flags any sizing drift or unusual entry timing relative to prior trades — the kind of subtle pattern easy to miss in a self-written summary.
Suggested
One specific adjustment
AI proposes a concrete adjustment tied to the session's actual deviation, which the trader confirms or refines rather than brainstorming from nothing.
An Example AI-Generated Review
Plan adherence
3 of 3 trades matched bias
Rule compliance
83% (1 partial-setup entry)
Sizing pattern
3rd trade sized 15% below baseline after 2nd loss
Suggested adjustment
Wait for full CHoCH confirmation before entry — trade #2 entered on partial structure
The trader reads this in under a minute, confirms it matches their own recollection, and adds one line of context AI couldn't infer — why the sizing dropped after the second loss. That's the entire review, and it happened even on a day the trader had zero motivation to write one from scratch.
What the Trader Still Adds
- Confirming the AI's read is accurate. AI infers patterns from data; the trader knows the actual reasoning behind a decision and can correct a misread.
- Adding context AI can't see. A distraction, a piece of news, a personal factor — details outside the trade data that shaped the session but aren't in any log.
- Deciding whether the suggested adjustment is the right one. AI surfaces the most data-supported deviation, but the trader makes the final call on what to actually change tomorrow.
Get Your Post-Trade Review Written For You
Logify generates a plan-adherence check, rule-compliance rate, and one specific adjustment automatically after every session.
Start Free with Logify
Frequently Asked Questions
Can AI write my post-trade review for me?
AI can generate a draft covering plan adherence, rule-compliance rate, and sizing patterns automatically from your logged trades. It also suggests one specific adjustment based on the session's data, which the trader confirms or refines rather than writing entirely from scratch.
How does AI know what to suggest as tomorrow's adjustment?
AI looks at the specific deviation that most affected the session's outcome — a setup criterion skipped, sizing that drifted, timing relative to a news event — and surfaces that as a concrete, session-specific suggestion rather than a generic reminder to be more disciplined.
Does an AI-generated review replace the trader's own reflection?
No — AI removes the tedious data-compilation part (calculating adherence rate, comparing trades to plan) so the trader's time goes into confirming the findings and adding context AI can't infer, like the specific reasoning behind a decision.
Does AI generate reviews after winning sessions too?
Yes — and this matters, since a winning session can still contain rule violations that didn't cost money this time. AI generates the same review regardless of outcome, which is what keeps the resulting dataset from becoming biased toward only reviewing losses.