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Stock-trading-programming/CLAUDE.md
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2026-06-15 18:52:42 +09:00

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# StockBot v3.0 - Claude Code Operating Guide
> Last updated: 2026-06-04
> Runtime: local Windows now, planned Synology NAS Docker migration later
> Current mode: paper trading / dry run (`KIS_MOCK=true`, `DRY_RUN=true`)
This file is written for Claude Code. Keep it operational, explicit, and easy
for an agent to follow. Human-facing project background belongs in `README.md`.
## Agent Role
- When working alone: analyze, plan, implement, verify, and self-review.
- When collaborating with Codex: implement only the approved scope and provide
Codex with the approved plan, relevant files, diff, test results, and
acceptance criteria for review.
- Do not ask Codex for the entire conversation history during collaboration.
- Do not edit files that Codex is actively editing.
- Limit review loops: one pass for small work, at most two passes for medium
work. Split large work into phase gates.
## Solo Workflow
1. Analyze the request and classify scope: small, medium, or large.
2. Write an explicit plan before implementation.
3. Implement one file at a time and keep the scope tight.
4. Run focused verification.
5. Perform the veteran self-review below.
6. If the score is below 90, fix the highest-leverage issues and review again.
Use this exact self-review format:
```text
Veteran role: <relevant expert role>
Overall score: <0-100>
Decision: PASS | FAIL
Category scores:
- Correctness and requirement fit: <score>/30 - <reason>
- Safety, security, and failure handling: <score>/20 - <reason>
- Maintainability and architecture fit: <score>/20 - <reason>
- Testability and verification: <score>/15 - <reason>
- Scope control and operational readiness: <score>/10 - <reason>
- Clarity of handoff and reviewer confidence: <score>/5 - <reason>
Blocking issues preventing 90+:
- <issue>
Highest-leverage fixes:
- <fix>
```
## Safety Policy
- AI is for market review, context generation, and proposals only.
- The code decides entries, exits, risk gates, and order behavior.
- Runtime ML model scores are observation-only. They may be logged and stored,
but must not block buys, resize positions, or override exits unless explicitly
approved later.
- Evening review must not directly edit `app/config.py`, `app/execution/`,
`app/strategy/`, or `app/risk/`. Write proposal reports instead.
- Strategy parameter changes must be written to
`reports/proposals/YYYY-MM-DD_strategy_proposal.md` with evidence and manual
approval requirements.
- `FORCE_EXIT = "14:50"` is immutable.
- Stop-loss checks must remain higher priority than profit-taking checks.
- Real-cash trading is not approved yet.
## Current Implementation Status
- Current mode is paper trading / dry-run focused.
- Approved strategy values:
- `ENTRY_START = "09:20"`
- `MAX_HOLD_MIN = 90`
- `FORCE_EXIT = "14:50"` unchanged
- `avoid_sectors` filtering is active at runtime. `main.py` passes sector
context into `check_entry()`.
- Sector handling keeps a `ticker_sectors` cache and uses name-based hints for
known avoid-sector cases.
- Re-entry controls are active:
- `TIME` and `FORCE` cooldown is based on final exit time, not entry time.
- Final `TP1`/`TP2` exits block same-day re-entry for that ticker.
- Re-entry control state is restored from today's DB rows after restart.
- SL cascade halt is active:
- `SL_CASCADE_HALT_THRESHOLD = 5`
- `SL_CASCADE_WINDOW_MIN = 60`
- New entries stop when the threshold is reached; existing positions keep
normal exit handling.
- Duplicate bot execution guards are active:
- `app/main.py` uses `SingleInstanceLock` on `logs/stockbot.lock`.
- `scripts/start_bot.py` stops the PID-file process and scans for existing
`app/main.py` processes before starting one new bot.
- `scripts/run_morning.ps1` is the only owner of post-morning bot startup.
- `.claude/commands/morning.md` must not call `/start-bot` or
`scripts/start_bot.py`.
- KIS stability hardening is active:
- Mode-specific request spacing in `KISClient`.
- Price lookups retry transient KIS timeout/rate-limit errors.
- DRY_RUN buy/sell paths can reuse the already-read quote as the simulated
fill price to reduce extra API calls.
- Daily summary has a duplicate guard; Discord settlement-send failures are
logged without crashing settlement.
- Data layer:
- `entry_snapshots` are active.
- `post_entry_snapshots` sample 60s, 180s, 300s, and 600s after entry.
- Bot data export: `scripts/export_training_dataset.py`.
- External data and ML:
- Daily features: `scripts/collect_daily_features.py`, with KIS fallback when
pykrx fails.
- KIS minute bars: `scripts/collect_minute_data.py`, ETF/ETN excluded by
default, multi-window collection from 09:30 to 14:00.
- External dataset builder: `scripts/build_external_training_dataset.py`.
- Training: `scripts/train_ai_model.py`.
- Runtime loader: `app/ml/predictor.py`.
- Latest successful training run: 2026-06-02 18:36.
- Latest rows: 5,773 total (`external_training_dataset.csv` 5,720 + bot
dataset 53).
- Latest metrics: `label_stop_loss` ROC-AUC 0.896, `label_win` ROC-AUC 0.715.
- Latest daily review/proposal files exist through 2026-06-02.
- 2026-06-03 was skipped as a market holiday.
## Current Risks
- The ML model is observation-only and still dominated by external pretraining
rows; bot-trade labels are only 53 rows.
- KIS minute data is verified for same-day windows, but historical depth and
ticker coverage are limited.
- External minute data is pretraining data, not actual bot-trade data.
- pykrx daily feature collection can fail for same-day data; KIS fallback is
active.
- KIS rate limits can still happen if multiple scripts or processes call KIS at
the same time.
- The 2026-06-03 holiday training run logged a failure at the holiday-check
step instead of a clean skip. Inspect this before relying on holiday
automation noise level.
- The 2026-06-04 morning duplicate execution happened before the `/morning`
instruction fix. The next scheduled morning run should be checked for exactly
one context generation and one `start_bot.py` startup.
- Real-cash mode still needs stronger fill, partial-fill, unfilled-order,
cancel/replace, and recovery logic.
- Security cleanup is needed: keep webhooks, credentials, tokens, and remote
credentials out of tracked files and remote URLs.
- Older logs contain encoding damage. New operational notes should stay ASCII
unless the target file intentionally uses another encoding.
## Automation Flow
```text
08:15 StockBot_Morning -> scripts/run_morning.ps1 -> /morning
Build data/daily_context.json.
After /morning exits, run_morning.ps1 calls python scripts/start_bot.py.
08:30 Bot loads daily_context.json and builds the watch universe.
08:50 Bot calculates volatility breakout targets. If restarted after 08:50,
the bot recalculates targets immediately; open=0 is ignored.
09:00 Morning trading session starts.
09:00-15:05 StockBot_Watchdog checks bot liveness every 5 minutes.
11:00 New entries pause if midday_context.json has not loaded.
11:20 StockBot_Midday -> scripts/run_midday.ps1 -> /midday
Build data/midday_context.json; bot detects it and starts lunch controls.
14:00 New entries stop; exits continue.
14:50 Force exit all positions. This time is immutable.
15:10 Daily settlement and Discord summary.
Watchdog must not restart the bot at or after 15:10.
15:30 StockBot_Evening -> scripts/run_evening.ps1 -> /evening
Write daily report and proposal report when needed.
16:00 StockBot_Training -> scripts/run_training_pipeline.ps1
```
## Slash Command Responsibilities
### `/morning`
1. Run `python app/ai/morning.py --print`.
2. Analyze collected news, KIS flow, sectors, and ticker-specific news.
3. Write `data/daily_context.json`.
4. Send the morning Discord summary.
5. Do not start the bot. Startup belongs only to `scripts/run_morning.ps1`.
### `/midday`
1. Run `python app/ai/midday.py --print`.
2. Compare morning context with actual morning trades and market snapshot.
3. Write `data/midday_context.json`.
4. Send the midday Discord summary.
### `/evening`
1. Run `python app/ai/evening.py --print`.
2. Review trades, win rate, PnL, fees, exit distribution, overtrading, AI
filter quality, and execution quality.
3. Write `reports/daily/YYYY-MM-DD.md`.
4. If a strategy change is justified, write
`reports/proposals/YYYY-MM-DD_strategy_proposal.md`.
5. Do not directly edit runtime strategy/config/risk/execution code during
evening review.
6. Check live-readiness criteria.
7. Send a concise Discord summary.
### `/start-bot`
1. Run `python scripts/start_bot.py`.
2. The script stops existing PID-file and scanned `app/main.py` processes.
3. It starts exactly one detached `app/main.py` process.
4. It writes `logs/bot.pid` and sends the Discord start notification.
## Important Files
```text
app/main.py Main trading loop and runtime orchestration
app/config.py Strategy parameters
app/strategy/volatility_breakout.py Entry/exit signal logic
app/risk/manager.py L1-L5 risk controls and L3-B sizing
app/execution/kis_client.py KIS REST/WebSocket wrapper
app/execution/order_executor.py Order execution and trade persistence
app/db/models.py SQLite schema
app/db/repository.py DB access helpers
app/ai/morning.py Morning data collection
app/ai/midday.py Midday data collection
app/ai/evening.py Evening data collection
scripts/start_bot.py Deterministic single-bot startup
scripts/run_morning.ps1 Scheduler morning job
scripts/run_midday.ps1 Scheduler midday job
scripts/run_evening.ps1 Scheduler evening job
scripts/run_training_pipeline.ps1 Training pipeline
```
## Edit Boundaries
Freely editable when the task calls for it:
- `app/config.py`
- `app/strategy/volatility_breakout.py`
- `app/risk/manager.py`
- `reports/`
- Documentation files
Requires explicit user approval:
- Structural changes to `app/main.py`
- `app/execution/`
- `app/db/`
- Database schema changes
- Real-cash trading behavior
Never edit or commit:
- `.env`
- token files
- runtime DB files
- runtime logs
- `logs/stockbot.lock`
- files the user says they are currently editing
Never change:
- `FORCE_EXIT = "14:50"`
- stop-loss priority over profit-taking
## Git Rules
- Branch: `master`.
- Remote: `origin` on the NAS Gitea server.
- After file edits, commit and push to `origin master` without asking again,
unless the user says not to.
- Commit message format: `[YYYY-MM-DD] concise Korean or English summary`.
- Stage only the intended files. Do not include `.env`, runtime logs, lock files,
token files, DB files, or user-in-progress data files.
## Risk Controls
| Level | Condition | Action |
|---|---|---|
| L1 | Single trade hits stop-loss | Exit immediately |
| L2 | Daily loss reaches -3% | Stop new entries for the day |
| L3-B | Consecutive stop-losses | Reduce position size, no full stop |
| L4 | Weekly loss reaches -7% | Stop until weekend review |
| L5 | Monthly loss reaches -15% | Retire strategy and review |
L3-B sizing:
| Consecutive stop-loss count | Position multiplier |
|---|---|
| 0 | 1.0x |
| 1 | 0.7x |
| 2 | 0.5x |
| 3+ | 0.3x |
## Live-Cash Readiness
All conditions must pass before real-cash mode:
- At least 30 trading days of operation.
- Recent 30-day win rate above 48%.
- Recent 30-day MDD better than -10%.
- Recent 30-day Sharpe above 1.0.
- L3-B minimum multiplier events no more than twice per month.
If all pass, create `reports/live_ready/YYYY-MM-DD_READY.md` and send Discord
notification. Switching to real-cash mode requires manual `.env` changes:
`KIS_MOCK=false`, `DRY_RUN=false`.
## Next Checks
- Verify the next morning run has exactly one `/morning` context generation and
one `scripts/start_bot.py` startup.
- Fix the holiday training pipeline so market holidays end as clean skips.
- Move tracked webhook/credential material into environment variables and rotate
anything exposed.
- Continue WebSocket migration planning.
- Continue NAS Docker migration planning.