- hourly_trend_report.py: standalone cron script (XX:00:30) sends 1h bullish/bearish status - slack_notifier.py: add send_market_trend_report() — simple bullish/bearish only, no entry signals - main.py: log all 15 HOLD reasons (not just first 3) for debugging all-HOLD cycles - backtest/whale_correlation.py: blockchain.com on-chain correlation analysis (result: no signal) - memory/: update project memory with architecture split, cron layout, feedback Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
18 lines
1.1 KiB
Markdown
18 lines
1.1 KiB
Markdown
# Memory Index
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## User
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- [user_profile.md](user_profile.md) — 繁中溝通、Bitfinex 現貨交易者
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## Feedback
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- [feedback_trading.md](feedback_trading.md) — 止損用即時資料、無總曝險上限、成本基礎下單
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- [feedback_api_errors.md](feedback_api_errors.md) — Bitfinex 500 錯誤模式與修正
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- [feedback_no_misleading_signals.md](feedback_no_misleading_signals.md) — 報告不要暗示可進場,只報市場狀態
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## Project
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- [project_trading_bot.md](project_trading_bot.md) — 核心架構:止損、SELL、下單、曝險、報告格式
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- [project_architecture_split.md](project_architecture_split.md) — Production 用 LLM,Backtest 用規則引擎,兩者獨立
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- [project_cost_basis_sync.md](project_cost_basis_sync.md) — sync_cost_basis.py:訂單歷史成本計算
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- [project_cron_timing.md](project_cron_timing.md) — Cron 排程:交易 cycle、趨勢報告、成本同步、錯誤監控
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- [project_backtest_v3.md](project_backtest_v3.md) — V3 回測:加 context filters,return -19%→-13%
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- [project_whale_correlation.md](project_whale_correlation.md) — 免費鏈上數據與 BTC 無顯著相關性
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