Commit Graph

16 Commits

Author SHA1 Message Date
agentson
63fa6841a2 feat: dashboard background thread with CLI flag (issue #97)
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Add --dashboard CLI flag and DASHBOARD_ENABLED env var to start
FastAPI dashboard in a daemon thread alongside the trading loop.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 00:01:29 +09:00
agentson
e0a6b307a2 fix: add error handling to evolution loop telegram notification
Wrap evolution notification in try/except so telegram failures don't
crash the evolution loop. Add integration tests for market close flow.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 23:56:04 +09:00
agentson
afb31b7f4b feat: wire evolution loop into market close flow (issue #95)
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Run EvolutionOptimizer.evolve() at US market close, skip for other
markets, and notify via Telegram when a strategy PR is generated.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 23:41:41 +09:00
agentson
d9763def85 feat: integrate ContextScheduler into main loop (issue #89)
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Wire up periodic context rollups (weekly/monthly/quarterly/annual/legacy)
in both daily and realtime trading loops with dedup-safe scheduling.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 23:37:30 +09:00
agentson
392422992b feat: integrate DailyReviewer into market close flow (issue #93)
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Extract _handle_market_close() helper that runs EOD aggregation,
generates scorecard with optional AI lessons, and sends Telegram summary.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 23:13:57 +09:00
agentson
a14f944fcc feat: link decision outcomes to trades via decision_id (issue #92)
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Add decision_id column to trades table, capture log_decision() return
value, and update original BUY decision outcome on SELL execution.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 21:36:57 +09:00
agentson
c4e31be27a feat: L7 real-time context write with market-scoped keys (issue #85)
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- Add L7_REALTIME writes in trading_cycle() for volatility, price, rsi, volume_ratio
- Normalize key format to {metric}_{market}_{stock_code} across scanner and main
- Fix existing key mismatch between scanner writes and main reads
- Remove unused MarketScanner dead code

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-10 04:21:52 +09:00
agentson
d64e072f06 fix: PR review — DB reload, market-local date, market-scoped scan_candidates
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Address PR #110 review findings:

1. High — Realtime mode now loads playbook from DB before calling Gemini,
   preventing duplicate API calls on process restart (4/day budget).
2. Medium — Pass market-local date (via market.timezone) to
   generate_playbook() and _empty_playbook() instead of date.today().
3. Medium — scan_candidates restructured from {stock_code: candidate}
   to {market_code: {stock_code: candidate}} to prevent KR/US symbol
   collision.

New test: test_scan_candidates_market_scoped verifies cross-market
isolation.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-09 23:00:06 +09:00
agentson
b2312fbe01 fix: resolve lint issues in main.py and test_main.py
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Remove unused imports (sys, ScenarioMatch, asyncio, StockPlaybook),
fix import ordering, and split long lines for ruff compliance.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-08 22:28:31 +09:00
agentson
98c4a2413c feat: integrate scenario engine and playbook into main trading loop (issue #84)
Replace brain.decide() with scenario_engine.evaluate() in trading_cycle
and brain.decide_batch() with per-stock scenario evaluation in
run_daily_session. Initialize PreMarketPlanner, ScenarioEngine, and
PlaybookStore in run(). Add pre-market playbook generation on market
open (1 Gemini call per market per day), market_data enrichment from
scanner metrics (rsi, volume_ratio), portfolio_data for global rules,
scenario match notifications, and playbook lifecycle management.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-08 22:24:19 +09:00
agentson
f0ae25c533 feat: implement Smart Volatility Scanner with RSI/volume filters (issue #76)
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Add Python-first scanning pipeline that reduces Gemini API calls by filtering
stocks before AI analysis: KIS rankings API -> RSI/volume filter -> AI judgment.

## Implementation
- Add RSI calculation (Wilder's smoothing method) to VolatilityAnalyzer
- Add KIS API methods: fetch_market_rankings() and get_daily_prices()
- Create SmartVolatilityScanner with configurable thresholds
- Integrate scanner into main.py realtime mode
- Add selection_context logging to trades table for Evolution system

## Configuration
- RSI_OVERSOLD_THRESHOLD: 30 (configurable 0-50)
- RSI_MOMENTUM_THRESHOLD: 70 (configurable 50-100)
- VOL_MULTIPLIER: 2.0 (minimum volume ratio, configurable 1-10)
- SCANNER_TOP_N: 3 (max candidates per scan, configurable 1-10)

## Benefits
- Reduces Gemini API calls (process 1-3 qualified stocks vs 20-30 ranked)
- Python-based technical filtering before expensive AI judgment
- Tracks selection criteria (RSI, volume_ratio, signal, score) for strategy optimization
- Graceful fallback to static watchlist if ranking API fails

## Tests
- 13 new tests for SmartVolatilityScanner and RSI calculation
- All existing tests updated and passing
- Coverage maintained at 73%

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-06 00:48:23 +09:00
agentson
702653e52e Merge main into feature/issue-49-valueerror-empty-string
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Resolved conflict in src/main.py by using safe_float() from main
instead of float(...or '0') pattern.

Changes:
- src/main.py: Use safe_float() for consistent empty string handling
- All 16 tests pass including test_overseas_price_empty_string
2026-02-05 00:44:07 +09:00
agentson
854931bed2 fix: handle empty strings in price data parsing (issue #49)
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Apply consistent empty-string handling across main.py and scanner.py
to prevent ValueError when KIS API returns empty strings.

Changes:
- src/main.py:110 - Add 'or "0"' for current_price parsing
- src/analysis/scanner.py:86-87 - Add 'or "0"' for price/volume parsing
- tests/test_main.py - Add test_overseas_price_empty_string
- tests/test_volatility.py - Add test_scan_stock_overseas_empty_price

Before: ValueError crashes trading cycle
After: Empty strings default to 0.0, trading continues

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 00:31:01 +09:00
agentson
c57ccc4bca fix: add safe_float() to handle empty string conversions (issue #44)
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Add safe_float() helper function to safely convert API response values
to float, handling empty strings, None, and invalid values that cause
ValueError: "could not convert string to float: ''".

Changes:
- Add safe_float() function in src/main.py with full docstring
- Replace all float() calls with safe_float() in trading_cycle()
  - Domestic market: orderbook prices, balance amounts
  - Overseas market: price data, balance info
- Add 6 comprehensive unit tests for safe_float()

The function handles:
- Empty strings ("") → default (0.0)
- None values → default (0.0)
- Invalid strings ("abc") → default (0.0)
- Valid strings ("123.45") → parsed float
- Float inputs (123.45) → pass through

This prevents crashes when KIS API returns empty strings during
market closed hours or data unavailability.

Fixes: #44

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 00:15:04 +09:00
agentson
3dfd7c0935 fix: handle dict and list formats in overseas balance output2 (issue #41)
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Add type checking for output2 response from get_overseas_balance API.
The API can return either list format [{}] or dict format {}, causing
KeyError when accessing output2[0].

Changes:
- Check isinstance before accessing output2[0]
- Handle list, dict, and empty cases
- Add safe fallback with "or" for empty strings
- Add 3 test cases for list/dict/empty formats

Fixes: #41

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 00:04:36 +09:00
agentson
972e71a2f1 feat: integrate TelegramClient into main trading loop (issue #34)
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Integrate Telegram notifications throughout the main trading loop to provide
real-time alerts for critical events and trading activities.

Changes:
- Add TelegramClient initialization in run() function
- Send system startup notification on agent start
- Send market open/close notifications when markets change state
- Send trade execution notifications for BUY/SELL orders
- Send fat finger rejection notifications when orders are blocked
- Send circuit breaker notifications when loss threshold is exceeded
- Pass telegram client to trading_cycle() function
- Add tests for all notification scenarios in test_main.py

All notifications wrapped in try/except to ensure trading continues even
if Telegram API fails. Notifications are non-blocking and do not affect
core trading logic.

Test coverage: 273 tests passed, overall coverage 79%

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-04 23:42:31 +09:00