- Add tradingagents/config.py with TradingAgentsSettings Pydantic model
- Centralize all environment variable handling and API key management
- Add validation for log_level, llm_provider, and numeric bounds
- Update dataflows/config.py to use central config as backend
- Update logging.py to get settings from central config
- Update API key access in alpha_vantage, brave, and tavily modules
- Replace DEFAULT_CONFIG imports with get_config() calls
- Add 20 comprehensive tests for config module
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Co-Authored-By: Claude <noreply@anthropic.com>
- Add MultiStageLoader and LoadingIndicator classes to cli/utils.py
- Improve CLI main.py with explicit imports and UI enhancements
- Update entity_extractor.py with improved LLM provider handling
- Add Ollama embedding model configuration to memory.py
- Add get_bulk_news_alpha_vantage function to alpha_vantage_news.py
- Add discovery imports to trading_graph.py
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Co-Authored-By: Claude <noreply@anthropic.com>
Implement a multi-stage pipeline to discover trending stocks from news:
- Entity extraction from news articles using LLM
- Stock ticker resolution via Yahoo Finance
- Sector classification and event categorization
- Scoring algorithm based on mentions, sentiment, and recency
- CLI integration with interactive stock selection and analysis flow
- Persistence layer for saving discovery results
- Comprehensive test suite for all discovery components
Update README with uv-based installation instructions and remove emojis.
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Co-Authored-By: Claude <noreply@anthropic.com>
Joseph O'Brien