AI can summarise your practice logs. It cannot own your entries without turning you into a passenger.
AI as review assistant — trader still owns decisions. Use it after sessions, not during clicks.
Do / don't table
| Do | Don't |
|---|---|
| Paste redacted session logs for pattern summary | Ask "what should I buy on NSE tomorrow" |
| Ask for urge-tag clustering | Outsource entries live |
| Generate review questions | Treat model text as edge |
| Compare week A vs B stats you computed | Fabricate win rates together |
| Check grammar on your written rules | Let AI rewrite rules mid-session |
AI amplifies discipline if inputs are honest; amplifies bias if inputs are hero reels.
Sample review prompt (post-session)
Here are 10 logged decisions from hidden-date NSE replay.
Fields: setup, condition, action, urge, process score.
No P&L. Summarise: cap violations, B-grade creep, boredom tags.
Ask me three review questions. No stock tips.
Where AI helps Indian traders
- Tagging themes across Hindi/English notes
- Summarising skip reasons you actually wrote
- Spotting rule contradictions in journal text
- Drafting checklist from your rules—not generic guru lists
Where AI hurts
- Confirmation bias validation ("prove my breakout works")
- Fake precision ("63% win rate" from incomplete logs)
- Tip generation dressed as education
- Replacing randomised practise with narrative backtests
Failure modes
- AI entries — zero process ownership
- Prompt shopping — until model praises you
- Leakage — pasting broker IDs or account details
- Rule churn — new AI checklist daily
- Skipping human review — no scoring discipline
Practice-first integration
Log first, AI second. Hidden-date NSE reps produce honest inputs. 300 decisions in 30 days (₹999 Replay Trader intensive) gives volume for AI-assisted review—not for AI-assisted FOMO.
Replay Trader does not require AI; it requires decisions under uncertainty. No profit promise. Educational content only—not investment advice or stock recommendations.
Redaction checklist before AI paste
Remove: account numbers, PAN references, broker IDs, personal phone screenshots.
AI output distrust default
Treat model summary as interview questions, not verdicts.
Banned AI prompts list
Maintain personal list: "What stock tomorrow," "Guaranteed setup," etc.
Human-first scoring
AI never assigns process 0–2—you do.
Tool independence
Replay Trader does not require AI; logs are sufficient.
AI weekly limit
Max two AI reviews weekly—human review daily.
Model comparison caution
Different models flatter differently—ignore praise.
AI for rule extraction
Paste your messy notes; ask model to list contradictions only.
Privacy default
Assume anything pasted could leak—minimal data.
AI off days
One week no AI—compare review quality.
Extended sample AI review workflow
Step 1: Complete session log manually with process scores.
Step 2: Redact identifiers.
Step 3: Ask AI for pattern summary on urge tags only.
Step 4: Answer AI questions in writing yourself.
Step 5: Decide one rule tweak max—scheduled next week.
Skipping step 1 and jumping to AI produces sophisticated bias confirmation.
AI boundary statement
Models summarise; traders decide. AI never replaces hidden-date reps, caps, or process scoring. Use AI after honest logs exist. Replay Trader does not require AI integration to deliver practice value—decisions under uncertainty come first.
Extended AI governance doc (personal one-pager)
AI runs after human scoring.
No direction questions ever.
Redact all identifiers.
One rule change max per week from AI insight.
AI wrong without consequence—trader owns clicks.
Skip AI week monthly to preserve human review muscle.
Governance prevents AI becoming expensive confirmation bias machine wearing polite language.
When to skip AI entirely
Skip AI during: rule-writing weeks, first week of intensive, any session you have not scored manually. AI summaries on unscored logs amplify garbage elegantly.
Human scoring first preserves ownership—critical for Indian traders drowning in automated tip feeds dressed as analysis.
Model rotation note
If you use multiple models, note which produced a given summary. Models disagree; disagreement is useful when it forces you to re-read raw logs instead of trusting polished paragraphs.
Your clicks remain yours; AI text is optional footnote to human scoring.
Export hygiene
Before any AI paste, export session log to text, strip symbols if sharing externally, keep internal symbol tags in private master copy. Hygiene prevents accidental oversharing and keeps analysis focused on process patterns.
AI session boundary card
Print card: BEFORE AI → score all decisions; AFTER AI → max one rule tweak scheduled next week; NEVER → direction or stock questions.
Card sits beside keyboard. AI vendors will happily answer direction questions—that does not make them appropriate for skill work.
Sample contradiction hunt prompt
"Given these redacted logs, list three moments my written rules and actions disagreed. Do not suggest improvements—only contradictions."
Contradiction hunt keeps AI in assistant lane. Replay Trader value remains in reps you score before any model sees them.
Keep a running list titled AI Refusals: direction questions you chose not to ask. The list length is a humility metric. Zero items after a month of trading curiosity means governance failed even if logs looked tidy.
Related reading
Replay Trader — randomised historical NSE practice, hidden dates, candle-by-candle reveal — is built for decision reps under uncertainty, not tip culture.
Practise today. Trade tomorrow.
Educational content only. Not investment advice. Not a recommendation to buy or sell any security. Practice and simulated results do not guarantee live results.