2026-05-27 16:53:52 +09:00
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# claude_evening daily review
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Analyze today's trading result and write `reports/daily/YYYY-MM-DD.md`.
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## Steps
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1. Collect data:
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```bash
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python app/ai/evening.py --print
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```
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2. Review:
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- total trades, win rate, net PnL, fees
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- exit reason distribution: TP1 / TP2 / SL / TIME / FORCE
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- overtrading: daily entry count, repeated stop losses, TIME/FORCE concentration
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- AI filter quality: boosted tickers and blacklists
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- execution quality: missing prices, zero-price rows, inconsistent open positions
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3. Strategy changes:
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- Do not edit `app/config.py` directly.
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- If a change looks justified, create `reports/proposals/YYYY-MM-DD_strategy_proposal.md`.
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- Include exact proposed values, evidence, sample size, expected benefit, and risk.
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- If fewer than 30 closed trades support the change, clearly mark the evidence as insufficient.
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- `FORCE_EXIT = "14:50"` is not changeable.
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4. Live readiness:
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- at least 30 closed trades
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- recent win rate > 48%
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- MDD better than -10%
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- Sharpe > 1.0
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- stop/kill risk events <= 2
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- If all pass, create `reports/live_ready/YYYY-MM-DD_READY.md`.
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5. Discord:
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Send a concise result summary. If a proposal file was created, include that manual approval is required.
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