Improve discoverability with social badges (stars, forks, issues, last commit),
add CITATION.cff for academic citations, update pyproject.toml/setup.py with
full classifiers and URLs, and add GitHub Sponsors funding config.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Delete TauricResearch.png and wechat.png assets
- Fix clone URL to point to hemangjoshi37a/TradingAgents
- Fix broken anchor links in README navigation
- Fix license badge (Apache 2.0, not MIT)
- Add Analysis Pipeline and Investment Debates screenshots
- Improve image alt texts for SEO
- Replace Unicode box-drawing chars with ASCII in architecture diagram
- Update package.json with keywords, author, correct URLs
- Update pyproject.toml description
- Update setup.py URL
- Refresh screenshots after dark mode theme fix
- Update .gitignore for Playwright and test artifacts
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
hemangjoshi37a
Hemang Joshi