Individual skill
trade-journal
Analyze a user's trade journal (CSV/Excel broker export). Parses 同花顺/东方财富/富途/generic formats, produces a trading profile and 4 behavior diagnostics (disposition effect, overtrading, chasing, anchoring). Use the `analyze_trade_journal` tool.
agent/src/skills/trade-journal/SKILL.md
Source commit a79afbdb048f873433fdb651a667e43dd0bb735d
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
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- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 37,982
- Repository last updated
- Nov 9, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- backtesting Repository topic
- multi-agent Repository topic
- quantitative-finance Repository topic
- trading Repository topic
- ai-agent Repository topic
- algorithmic-trading Repository topic
- fintech Repository topic
- llm Repository topic
- mcp Repository topic
- python Repository topic
- engineering Derived category
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SKILL.mdcore · 8,259 bytes
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# Trade Journal Analysis
## Purpose
Users upload broker exports (交割单) and get an honest, data-grounded portrait
of their own trading. Two layers are live:
- **Profile** — holding days, frequency, win rate, PnL ratio, cumulative PnL,
max drawdown, top symbols, market/hourly distribution.
- **Behavior diagnostics** — 4 biases, each with severity (low/medium/high)
and numeric evidence: disposition effect, overtrading, chasing momentum,
anchoring.
Strategy extraction → backtest bridge lands in Phase 4c.