Fixes:
- Remove duplicate get_running_analyses function (critical)
- Fix N+1 query in get_pipeline_summary_for_date with batch queries (high)
- Add thread-safety warning comment for running_analyses dict (high)
- Remove package-lock.json from .gitignore and track it (high)
- Config param in memory.py kept for backward compatibility (documented)
Features:
- API key management with secure browser localStorage
- Model selection for Deep Think (Opus) and Quick Think (Sonnet/Haiku)
- Configurable max debate rounds (1-5)
- Full analysis pipeline visualization with 9-step progress tracking
- Agent reports display (Market, News, Social, Fundamentals analysts)
- Investment debate viewer (Bull vs Bear with Research Manager decision)
- Risk debate viewer (Aggressive vs Conservative vs Neutral)
- Data sources tracking panel
- Dark mode support throughout
- Bulk "Analyze All" functionality for all 50 stocks
Backend:
- Added analysis config parameters to API endpoints
- Support for provider/model selection in analysis requests
- Indian market data integration improvements
Documentation:
- Comprehensive README with 10 feature screenshots
- API endpoint documentation
- Project structure guide
- Getting started instructions
- Add React + Vite + Tailwind CSS frontend for Nifty50 recommendations
- Add FastAPI backend for serving stock recommendations
- Add Indian market data sources (jugaad_data, markets API)
- Add Nifty50 stock recommender modules
- Update dataflows for Indian market support
- Fix various utility and configuration updates
- Add .env.example file with API key placeholders
- Update README.md with .env file setup instructions
- Add dotenv loading in main.py for environment variables
Add data vendor configuration examples in README and main.py showing how to configure Alpha Vantage as the primary data provider. Update documentation to reflect the current default behavior of using Alpha Vantage for real-time market data access.
- Replace hardcoded column indices with column name lookup
- Add mapping for all supported indicators to their expected CSV column names
- Handle missing columns gracefully with descriptive error messages
- Strip whitespace from header parsing for reliability
- Replace FinnHub with Alpha Vantage API in README documentation
- Implement comprehensive Alpha Vantage modules:
- Stock data (daily OHLCV with date filtering)
- Technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands, ATR)
- Fundamental data (overview, balance sheet, cashflow, income statement)
- News and sentiment data with insider transactions
- Update news analyst tools to use ticker-based news search
- Integrate Alpha Vantage vendor methods into interface routing
- Maintain backward compatibility with existing vendor system
- Added support for running CLI and Ollama server via Docker
- Introduced tests for local embeddings model and standalone Docker setup
- Enabled conditional Ollama server launch via LLM_PROVIDER
hemangjoshi37a
Hemang Joshi
Edward Sun
Edward Sun
Yijia Xiao
luohy15
mirza-samad-ahmed-baig
Max Wong
Geeta Chauhan
Huijae Lee
Zhongyi Lu
Atharv Sabde
Mithil Srungarapu
saksham0161
maxer137