# Implementation Log

## 2026-05-27

- Reviewed the stock scalping bot structure and moved it toward an AI-training-ready paper-trading platform.
- Added database tables for AI training:
  - `entry_snapshots`
  - `post_entry_snapshots`
- Added entry-time data capture after successful buys.
- Added post-entry sampling at 60s, 180s, 300s, and 600s.
- Fixed partial-exit accounting so partial TP1 exits no longer close the whole trade row.
- Relaxed strict entry-limit enforcement during paper-trading data collection while preserving warning logs.
- Added daily/export training scripts:
  - `scripts/export_training_dataset.py`
  - `scripts/collect_daily_features.py`
  - `scripts/collect_minute_data.py`
  - `scripts/build_external_training_dataset.py`
- Added ML training and runtime support:
  - `app/ml/features.py`
  - `app/ml/predictor.py`
  - `scripts/train_ai_model.py`
- Added observation-only AI scoring:
  - Runtime scores are recorded only when a trained model exists.
  - AI scores do not block entries, change sizing, or override exits.
- Added daily training pipeline:
  - `scripts/run_training_pipeline.ps1`
- Registered and verified Windows Scheduler tasks:
  - `StockBot_Morning`
  - `StockBot_Watchdog`
  - `StockBot_Midday`
  - `StockBot_Evening`
  - `StockBot_Training`
- Rewrote scheduler setup to avoid hardcoded broken Korean paths:
  - `scripts/setup_scheduler.ps1`
- Rewrote watchdog wrapper with trading-day and time-window checks:
  - `scripts/run_watchdog.ps1`
- Added dependency portability:
  - Root `requirements.txt`
  - `scripts/install_dependencies.ps1`
  - `scripts/download_dependencies.ps1`
  - `vendor/wheels` wheelhouse for Windows/Python 3.11
- Updated operational docs:
  - `README.md`
  - `CLAUDE.md`
  - `reports/daily/2026-05-27.md`

Validation performed:
- Python compile check passed.
- DB migration checked.
- AI score snapshot insert checked with a temporary DB.
- Training script checked with empty dataset.
- Scheduler registration checked.
- PowerShell script parse check passed.

Open risks:
- KIS minute endpoint still needs live response verification.
- Early model quality is expected to be weak until enough labeled rows exist.
- External minute data is useful for pretraining, not final bot-trade truth.
- Real-cash trading still needs stronger fill, partial-fill, unfilled-order, cancel/replace, and recovery handling.
- Raspberry Pi dependency packaging needs a Linux/ARM-specific setup.
- Approved and applied `ENTRY_START = "09:15"` after the 2026-05-27 evening review.
- Reason: 09:05-09:06 generated four immediate SL trades and most of the daily loss.
- Time-based sizing and time-based SL changes remain deferred.

### 2026-05-27 Strategy Approval Log

- User approved Claude Evening Proposal 1.
- Changed `app/config.py`:
  - Before: `ENTRY_START = "09:05"`
  - After: `ENTRY_START = "09:15"`
- Rationale:
  - Four immediate SL trades occurred from 09:05:03 to 09:05:49.
  - Those four trades lost about `-183,969 KRW`.
  - This represented about 74.5% of the daily loss.
- Deferred:
  - Time-based position-size reduction.
  - Time-based stop-loss adjustment.
- Verification:
  - Python compile check passed.
  - Runtime import confirmed `ENTRY_START == "09:15"`.