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[2026-05-28] 운영 문서 최신화

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jongjae
2026-05-28 20:39:37 +09:00
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@@ -47,19 +47,27 @@ docker-compose --profile emergency up kill-switch
# 또는
python kill_switch/kill.py
```
# StockBot Current Status - 2026-05-27
# StockBot Current Status - 2026-05-28
This project is currently a paper-trading scalping bot with an AI training
pipeline in observation mode.
Active:
- Windows Task Scheduler operation for morning, midday, evening, watchdog, and training jobs.
- Approved `ENTRY_START = "09:20"` after the 2026-05-28 evening review.
- `FORCE_EXIT = "14:50"` remains unchanged.
- `avoid_sectors` filtering is active in runtime entry checks.
- Entry snapshots for model training.
- Post-entry snapshots at 1m, 3m, 5m, and 10m.
- Bot-data export to `data/training_dataset.csv`.
- External daily/minute data collection for pretraining.
- External daily collection falls back to KIS when pykrx same-day data fails.
- KIS minute collection excludes ETF/ETN by default and collects multiple windows from 09:30 to 14:00.
- RandomForest-based training engine.
- Optional AI entry scoring when `models/scalping_model.joblib` exists.
- Latest verified training run: 2026-05-28 20:24.
- Latest training rows: 3,156 total, including 3,146 external pretraining rows and 10 bot-trade rows.
- Latest metrics: `label_stop_loss` ROC-AUC 0.851, `label_win` ROC-AUC 0.719.
Not active yet:
- AI does not block buys.