- MARKET_SHORTHAND + expand_market_codes()로 config "US" → schedule "US_NASDAQ/NYSE/AMEX" 자동 확장
- /report, /scenarios, /review, /dashboard 텔레그램 명령 추가
- price_change_pct를 trading_cycle과 run_daily_session에 주입
- HOLD시 get_open_position 기반 손절 모니터링 및 자동 SELL 오버라이드
- 대시보드 /api/status 동적 market 조회로 변경
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
- Add pre-market planner settings: PRE_MARKET_MINUTES, MAX_SCENARIOS_PER_STOCK,
PLANNER_TIMEOUT_SECONDS, DEFENSIVE_PLAYBOOK_ON_FAILURE, RESCAN_INTERVAL_SECONDS
- Change ENABLED_MARKETS default from KR to KR,US
- Remove static WATCHLISTS and STOCK_UNIVERSE dictionaries from main.py
- Replace watchlist-based trading with dynamic scanner-only stock discovery
- SmartVolatilityScanner is now the sole source of trading candidates
- Add active_stocks dict for scanner-discovered stocks per market
- Add smart_scanner parameter to run_daily_session()
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add configuration options and comprehensive documentation for the new
bidirectional command feature.
Changes:
- Add TELEGRAM_COMMANDS_ENABLED to config.py
- Add TELEGRAM_POLLING_INTERVAL to config.py
- Add extensive "Bidirectional Commands" section to README.md
Documentation:
- Available commands table with descriptions
- Command usage examples with sample outputs
- Security section (Chat ID verification, authorization)
- Configuration options and .env examples
- How it works (long polling, authentication flow)
- Error handling and troubleshooting guide
Features:
- Optional command support (can disable while keeping notifications)
- Configurable polling interval
- Complete security documentation
- Troubleshooting guide for common issues
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Root cause analysis revealed 3 critical issues causing EGW00201 errors:
1. **Hash key bypass** - _get_hash_key() made API calls without rate limiting
- Every order made 2 API calls but only 1 was rate-limited
- Fixed by adding rate_limiter.acquire() to _get_hash_key()
2. **Scanner concurrent burst** - scan_market() launched all stocks via asyncio.gather
- All tasks queued simultaneously creating burst pressure
- Fixed by adding Semaphore(1) for fully serialized scanning
3. **RPS too aggressive** - 5.0 RPS exceeded KIS API's real ~2 RPS limit
- Lowered to 2.0 RPS (500ms interval) for maximum safety
Changes:
- src/broker/kis_api.py: Add rate limiter to _get_hash_key()
- src/analysis/scanner.py: Add semaphore-based concurrency control
- New max_concurrent_scans parameter (default 1, fully serialized)
- Wrap scan_stock calls with semaphore in _bounded_scan()
- Remove ineffective asyncio.sleep(0.2) from scan_stock()
- src/config.py: Lower RATE_LIMIT_RPS from 5.0 to 2.0
- tests/test_broker.py: Add 2 tests for hash key rate limiting
- tests/test_volatility.py: Add test for scanner concurrency limit
Results:
- EGW00201 errors: 10 → 0 (100% elimination)
- All 290 tests pass
- 80% code coverage maintained
- Scanner still handles unlimited stocks (just serialized for API safety)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Reduce RATE_LIMIT_RPS from 10.0 to 5.0 to prevent "초당 거래건수를
초과하였습니다" (EGW00201) errors from KIS API.
Docker logs showed this was the most frequent error (70% of failures),
occurring when multiple stocks are scanned rapidly.
Changes:
- src/config.py: RATE_LIMIT_RPS 10.0 → 5.0
- .env.example: Update default and add explanation comment
Trade-off: Slower API throughput, but more reliable operation.
Can be tuned per deployment via environment variable.
Fixes: #43
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Add ALPHA_VANTAGE_API_KEY and NEWSAPI_KEY for backward compatibility
with existing .env configurations.
Fixes test failures in test_volatility.py where Settings validation
rejected extra fields from environment variables.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Add objective external data sources to enhance trading decisions beyond
market prices and user input.
## New Modules
### src/data/news_api.py
- News sentiment analysis with Alpha Vantage and NewsAPI support
- Sentiment scoring (-1.0 to +1.0) per article and aggregated
- 5-minute caching to minimize API quota usage
- Graceful degradation when APIs unavailable
### src/data/economic_calendar.py
- Track major economic events (FOMC, GDP, CPI)
- Earnings calendar per stock
- Event proximity checking for high-volatility periods
- Hardcoded major events for 2026 (no API required)
### src/data/market_data.py
- Market sentiment indicators (Fear & Greed equivalent)
- Market breadth (advance/decline ratios)
- Sector performance tracking
- Fear/Greed score calculation
## Integration
Enhanced GeminiClient to seamlessly integrate external data:
- Optional news_api, economic_calendar, and market_data parameters
- Async build_prompt() includes external context when available
- Backward-compatible build_prompt_sync() for existing code
- Graceful fallback when external data unavailable
External data automatically added to AI prompts:
- News sentiment with top articles
- Upcoming high-impact economic events
- Market sentiment and breadth indicators
## Configuration
Added optional settings to config.py:
- NEWS_API_KEY: API key for news provider
- NEWS_API_PROVIDER: "alphavantage" or "newsapi"
- MARKET_DATA_API_KEY: API key for market data
## Testing
Comprehensive test suite with 38 tests:
- NewsAPI caching, sentiment parsing, API integration
- EconomicCalendar event filtering, earnings lookup
- MarketData sentiment and breadth calculations
- GeminiClient integration with external data sources
- All tests use mocks (no real API keys required)
- 81% coverage for src/data module (exceeds 80% requirement)
## Circular Import Fix
Fixed circular dependency between gemini_client.py and cache.py:
- Use TYPE_CHECKING for imports in cache.py
- String annotations for TradeDecision type hints
All 195 existing tests pass. No breaking changes to existing functionality.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Implement comprehensive multi-market trading system with automatic
market selection based on timezone and trading hours.
## New Features
- Market schedule module with 10 global markets (KR, US, JP, HK, CN, VN)
- Overseas broker for KIS API international stock trading
- Automatic market detection based on current time and timezone
- Next market open waiting logic when all markets closed
- ConnectionError retry with exponential backoff (max 3 attempts)
## Architecture Changes
- Market-aware trading cycle with domestic/overseas broker routing
- Market context in AI prompts for better decision making
- Database schema extended with market and exchange_code columns
- Config setting ENABLED_MARKETS for market selection
## Testing
- 19 new tests for market schedule (timezone, DST, lunch breaks)
- All 54 tests passing
- Lint fixes with ruff
## Files Added
- src/markets/schedule.py - Market schedule and timezone logic
- src/broker/overseas.py - KIS overseas stock API client
- tests/test_market_schedule.py - Market schedule test suite
## Files Modified
- src/main.py - Multi-market main loop with retry logic
- src/config.py - ENABLED_MARKETS setting
- src/db.py - market/exchange_code columns with migration
- src/brain/gemini_client.py - Dynamic market context in prompts
Resolves#5
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
