Structured trade logging, performance review, behavioral pattern detection, and strategy attribution for systematic improvement

Trade Journal Structured trade journaling for systematic improvement. Log every trade with context, review performance at multiple cadences, detect behavioral patterns that destroy edge, and attribute returns to specific strategies. Why Journaling Matters Most traders fail not from bad strategies but from bad behavior. A trade journal transforms subjective "feel" into objective data: Strategy Attribution : Know which setups actually make money vs. which feel profitable Behavioral Detection : Catch revenge trading, FOMO entries, and premature exits before they compound Pattern Recognition : Discover that your Monday morning trades lose money, or that you cut SOL winners too early Accountability : Written rationale before entry forces deliberate decision making Improvement Tracking : Measure whether changes to your process actually improve results Without a journal, you optimize on noise. With one, you optimize on signal. Trade Record Structure Every trade record captures context at entry and outcome at exit. See references/record format.md for the complete 18 field schema. Minimum Required Fields Strategy Tagging Use consistent tags to enable performance attribution: Category Tags Momentum momentum breakout , trend continuation , pullback entry Mean Reversion range fade , oversold bounce , deviation snap Event Driven listing play , catalyst trade , news reaction On Chain whale follow , wallet copy , flow signal DeFi lp entry , yield farm , arb capture Rationale Templates Write rationale before entering. Templates by setup type: Storage Format The journal uses JSON for structured querying and CSV for spreadsheet compatibility. JSON Format (Primary) CSV Format (Export) Analytics from Journal Data Win Rate by Strategy Performance by Time of Day Profit Factor by Token Type Behavioral Pattern Detection The journal enables detection of destructive trading patterns. See references/review framework.md for the full framework. Revenge Trading Rapid re entry after a loss, often with larger size: FOMO Detection Entering after large moves without proper setup: Entry rationale is vague or missing Setup quality self rated below 5/10 Entry during a move that already exceeded 1 ATR Cutting Winners / Riding Losers Tilt Detection Size escalation after losses suggests emotional trading: Review Cadence Daily Review (5 minutes) How many trades today? P&L? Did I follow my rules on every trade? Any emotional decisions? One thing I did well, one thing to improve Weekly Review (30 minutes) Win rate and profit factor by strategy Behavioral pattern check (revenge trades, tilt, FOMO) Best and worst trade of the week — what made them different? Strategy performance vs. expectations Adjust position sizing if needed Monthly Review (2 hours) Full strategy attribution analysis Equity curve review — drawdown periods and recovery Compare actual vs. planned risk per trade Performance by token type, time of day, day of week Are any strategies consistently losing? Consider dropping them Review and update strategy parameters See references/review framework.md for detailed review checklists and questions. Partial Exits and Scaled Entries Real trading involves scaling in and out. The journal handles this with child records: See references/record format.md for full documentation of partial exit handling. Files References references/record format.md — Complete 18 field trade record schema, field descriptions, tagging taxonomy, CSV/JSON examples, partial exit handling references/review framework.md — Daily/weekly/monthly review checklists, behavioral red flags, performance decay detection Scripts scripts/trade logger.py — CLI trade logger: add, list, update, compute stats, filter, demo mode (stdlib only) scripts/journal analyzer.py — Journal analysis: strategy performance, behavioral patterns, time based analysis, demo mode (stdlib only) Dependencies Both scripts use Python standard library only ( json , datetime , argparse , collections ). No external packages required. Disclaimer This skill provides tools for trade record keeping and performance analysis. It does not provide financial advice, trading recommendations, or guarantee any trading outcomes. All analysis is informational and for personal review purposes only.

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