- 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
Added language selection links to the README for easier access to translated versions: German, Spanish, French, Japanese, Korean, Portuguese, Russian, and Chinese.
hemangjoshi37a
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
neo
Yijia-Xiao