AI-powered sector-first sentiment analysis platform for small-cap traders with multi-agent orchestration
"From Sector Sentiment to Trade Decision in Under 10 Seconds"
This platform transforms how traders identify small-cap opportunities through AI-powered agent orchestration and real-time market intelligence. Built with a sector-first approach, it provides color-coded sentiment analysis, 10-point shortability scoring, and gap opportunity detection.
- 🎛️ Sector Sentiment Dashboard - Real-time color-coded grid (🔴/🟡/🔵/🟢)
- 🤖 AI Agent Orchestration - 6 parallel agents for comprehensive analysis
- 🎯 10-Point Shortability Dial - Visual risk assessment with historical tracking
- 📈 Gap Analysis Tool - Automated detection of 15%+ price movements
- 🔍 Background Scanner - 15-minute automated opportunity identification
- 📋 SEC Filing Monitor - Real-time regulatory event alerts
User Interface (Next.js + DaisyUI)
↓
Agent Orchestrator (FastAPI)
↓
[6 Parallel AI Agents]
↓
MCP Server Layer (Polygon.io, News, Economic Data)
↓
Data Layer (PostgreSQL + TimescaleDB + Redis)
- Node.js 18+ and npm
- Python 3.11+
- PostgreSQL 15+
- Redis 7+
# Clone the repository (update YOUR_USERNAME with your actual GitHub username)
git clone https://github.com/YOUR_USERNAME/stock-market-sentiment-agent.git
cd stock-market-sentiment-agent
# Install frontend dependencies
cd src/frontend
npm install
# Install backend dependencies
cd ../backend
pip install -r requirements.txt
# Set up environment variables
cp .env.example .env
# Edit .env with your API keys# API Keys
POLYGON_API_KEY=your_polygon_api_key
OPENAI_API_KEY=your_openai_api_key
# Database
DATABASE_URL=postgresql://user:password@localhost:5432/sentiment_db
REDIS_URL=redis://localhost:6379
# Development
NEXT_PUBLIC_API_URL=http://localhost:8000- Experienced traders, $25K+ trading capital
- Focus on small-cap momentum
- Need systematic sector sentiment analysis
- Supplemental income focus
- Risk-conscious approach
- Require quick decision frameworks
| Metric | Target |
|---|---|
| Analysis Speed | <5 seconds complete stock analysis |
| User Engagement | 90%+ engage with sector grid in 30s |
| System Uptime | 99.5% during market hours |
| User Satisfaction | 80%+ with AI-generated thesis |
- Project setup and architecture
- Sector sentiment dashboard
- Basic AI agent orchestration
- Polygon.io integration
- Multi-agent orchestration system
- 10-point shortability dial
- Investment thesis generation
- WebSocket real-time updates
- Gap analysis tool
- Background watchlist scanner
- SEC filing monitor
- Performance optimization
- User authentication
- Mobile optimization
- Comprehensive testing
- Production deployment
- Next.js 14 with App Router and SSR
- TypeScript for type safety
- Tailwind CSS + DaisyUI for styling
- WebSocket for real-time updates
- FastAPI for high-performance API
- PostgreSQL + TimescaleDB for time-series data
- Redis for caching and real-time features
- MCP Protocol for agent orchestration
- OpenAI GPT-4 for investment thesis generation
- FinBERT for financial sentiment analysis
- Polygon.io for real-time market data
- SEC EDGAR for regulatory filings
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
This software is for educational and research purposes only. It is not intended as financial advice. Always conduct your own research and consult with qualified financial professionals before making investment decisions.
- Live Demo (Coming Soon)
- Documentation
- Issue Tracker
Built with ❤️ for the trading community