132 lines
5.5 KiB
Markdown
132 lines
5.5 KiB
Markdown
# 단타 자동매매 시스템 v3.0
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기획서 v3.0 기준 / KIS Open API / Synology NAS Docker
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AI: Claude Code/Codex headless (장 전 분석 + 장중 점검 + 장 후 피드백)
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## 운영 모드
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| KIS_MOCK | DRY_RUN | 동작 |
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|----------|---------|------|
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| true | true | 신호 확인만 (주문 없음) ← 현재 |
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| true | false | 모의투자 실제 주문 ← 3개월 검증 |
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| false | false | 실거래 ← 조건 충족 후 |
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## 빠른 시작
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```bash
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# 1. .env 설정
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cp .env.example .env
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# .env 열어서 KIS 키, Discord Webhook URL 입력
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# 2. KIS 연결 테스트
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pip install aiohttp python-dotenv
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python test_connection.py
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# 3. 신호 확인 (DRY_RUN=true)
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python app/main.py
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# 4. Docker 실행 (NAS)
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docker-compose up -d
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```
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## 컨테이너 구성
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| 컨테이너 | 역할 | 실행 시간 |
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|---------|------|---------|
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| stockbot-main | 매매 프로그램 | 상시 (09:00~15:00 활성) |
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| stockbot-redis | 시세 캐시 | 상시 |
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| stockbot-dashboard | Streamlit 모니터링 | 상시 (포트 8501) |
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| claude-morning | 장 전 AI 분석 | 08:30 (실행 후 종료) |
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| claude-evening | 장 후 AI 피드백 | 15:30 (실행 후 종료) |
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| stockbot-killswitch | 긴급 청산 | 수동 트리거 |
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## 긴급 청산
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```bash
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docker-compose --profile emergency up kill-switch
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# 또는
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python kill_switch/kill.py
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```
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# StockBot Current Status - 2026-06-04
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This project is currently a paper-trading scalping bot with an AI training
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pipeline in observation mode.
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Active:
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- Windows Task Scheduler operation for morning, midday, evening, watchdog, and training jobs.
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- Approved `ENTRY_START = "09:20"` after the 2026-05-28 evening review.
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- Applied `MAX_HOLD_MIN = 90`.
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- `FORCE_EXIT = "14:50"` remains unchanged.
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- `avoid_sectors` filtering is active in runtime entry checks.
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- Re-entry controls are active:
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- TIME/FORCE cooldown is measured from final exit time.
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- TP final exits block same-day ticker re-entry.
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- Re-entry control state is restored from today's DB rows after restart.
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- Duplicate bot startup guards are active:
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- `app/main.py` uses `logs/stockbot.lock`.
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- `scripts/start_bot.py` kills existing `app/main.py` processes before starting one new bot.
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- `scripts/run_morning.ps1` is the only post-morning bot startup owner.
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- `/morning` must not call `/start-bot` or `scripts/start_bot.py`.
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- KIS stability hardening is active:
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- Mode-specific request spacing.
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- Retry for transient KIS timeout/rate-limit price errors.
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- DRY_RUN simulated fills reuse the current quote to reduce extra KIS calls.
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- Daily settlement has a duplicate-summary guard.
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- Entry snapshots for model training.
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- Post-entry snapshots at 1m, 3m, 5m, and 10m.
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- Bot-data export to `data/training_dataset.csv`.
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- External daily/minute data collection for pretraining.
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- External daily collection falls back to KIS when pykrx same-day data fails.
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- KIS minute collection excludes ETF/ETN by default and collects multiple windows from 09:30 to 14:00.
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- RandomForest-based training engine.
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- Optional AI entry scoring when `models/scalping_model.joblib` exists.
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- Latest successful training run: 2026-06-02 18:36.
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- Latest training rows: 5,773 total, including 5,720 external pretraining rows and 53 bot-trade rows.
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- Latest metrics: `label_stop_loss` ROC-AUC 0.896, `label_win` ROC-AUC 0.715.
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- Latest daily review/proposal files exist through 2026-06-02; 2026-06-03 was a market holiday.
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Not active yet:
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- ML model scores do not block buys.
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- ML model scores do not change position size.
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- ML model scores do not override exits.
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- Real-cash trading is not ready until fill, unfilled-order, and partial-fill handling is hardened.
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Current operational notes:
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- On 2026-06-04, duplicate morning execution happened before the `/morning` instruction fix. The next scheduled morning run should show one context run and one `scripts/start_bot.py` startup.
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- KIS rate limits can still happen when multiple scripts/processes call KIS concurrently.
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- The 2026-06-03 holiday training run logged a failure at the holiday-check step instead of a clean skip; inspect before relying on holiday automation noise level.
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- Keep secrets out of tracked files and remote URLs. Prefer environment variables for Discord webhooks and credentials.
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Daily schedule:
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| Time | Task | Purpose |
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|---|---|---|
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| 08:15 | `StockBot_Morning` | Run `/morning`, build context, then `scripts/start_bot.py` starts exactly one bot |
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| 09:00-15:10 | `StockBot_Watchdog` | Check/restart bot every 5 minutes |
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| 11:20 | `StockBot_Midday` | Midday review and context update |
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| 15:30 | `StockBot_Evening` | Daily review and proposal report |
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| 16:00 | `StockBot_Training` | Collect data, export datasets, train model |
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Useful commands:
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```powershell
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python -m pip install -r requirements.txt
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powershell -ExecutionPolicy Bypass -File scripts\install_dependencies.ps1
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powershell -ExecutionPolicy Bypass -File scripts\setup_scheduler.ps1
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python scripts\start_bot.py
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powershell -ExecutionPolicy Bypass -File scripts\run_training_pipeline.ps1
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python scripts\export_training_dataset.py
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python scripts\train_ai_model.py
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Get-Content logs\morning.log -Tail 80
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Get-Content logs\stockbot.log -Tail 80
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```
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Dependency portability:
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- Root `requirements.txt` includes `app/requirements.txt`.
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- `scripts/download_dependencies.ps1` downloads Windows/Python 3.11 wheels to `vendor/wheels`.
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- `scripts/install_dependencies.ps1` installs from `vendor/wheels` first, then falls back to online pip.
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- Raspberry Pi needs its own wheelhouse or online install because Windows wheels are not ARM/Linux compatible.
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---
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