# Mantle AI Trader
## ๐ Features
### Core Trading Capabilities
- **AI Signal Generation**: Advanced signal generation powered by AI with multi-factor analysis
- **Fundamental News Analysis**: Real-time news aggregation from multiple sources with sentiment analysis
- **Technical Analysis**: Comprehensive technical indicators (RSI, MACD, SMA, EMA) and pattern recognition
- **Risk Assessment**: Intelligent risk scoring and position sizing recommendations
### Trading Modes
- **Demo/Paper Trading**: Test strategies without real money
- **Manual Mode**: Execute signals manually with full control
- **Auto-Trading**: Automated signal execution (configurable)
### Analysis Tools
- **Backtesting Engine**: Test strategies on historical data with performance metrics
- **Signal Rating System**: Track and rate signal performance
- **Portfolio Analytics**: Real-time P&L tracking and portfolio visualization
### Integration
- **Bybit API**: Full integration with Bybit exchange (spot and futures)
- **WebSocket Real-time Updates**: Live price feeds and portfolio sync
- **VectorDB**: Semantic search for news and analysis
## ๐ Architecture
```
mantle-ai-trader/
โโโ src/
โ โโโ app/ # Next.js App Router
โ โ โโโ api/ # API Routes
โ โ โ โโโ trading/ # Trading endpoints
โ โ โโโ page.tsx # Main Dashboard
โ โโโ lib/
โ โ โโโ trading/
โ โ โ โโโ core/ # Core types & Bybit client
โ โ โ โโโ signals/ # Signal generation engine
โ โ โ โโโ news/ # News aggregation
โ โ โ โโโ backtest/ # Backtesting engine
โ โ โ โโโ demo/ # Paper trading
โ โ โโโ vector/ # VectorDB integration
โ โโโ components/ui/ # shadcn/ui components
โโโ mini-services/
โ โโโ trading-service/ # WebSocket service
โโโ prisma/
โ โโโ schema.prisma # Database schema
โโโ tests/ # Test files
```
## ๐ Installation
### Prerequisites
- Node.js 18+ or Bun
- SQLite (included)
- Bybit API keys (optional for live trading)
### Setup
```bash
# Clone the repository
git clone https://github.com/roman-ryzenadvanced/mantle-ai-trader.git
cd mantle-ai-trader
# Install dependencies
bun install
# Initialize database
bun run db:push
# Start development server
bun run dev
# Start WebSocket service (separate terminal)
bun run trading-service
```
## ๐ Usage
### Dashboard
Access the dashboard at `http://localhost:3000`
1. **Signals Tab**: Generate AI signals for any supported trading pair
2. **Positions Tab**: View open positions and portfolio allocation
3. **Backtest Tab**: Run strategy backtests on historical data
4. **News Tab**: Browse latest market news with sentiment analysis
### API Endpoints
#### Signals
```bash
# Generate signal
POST /api/trading/signals
Body: { "symbol": "BTCUSDT", "timeframe": "1h", "demo": true }
# Get signals
GET /api/trading/signals?symbol=BTCUSDT&limit=50
```
#### Demo Trading
```bash
# Get portfolio
GET /api/trading/demo?action=portfolio
# Place order
POST /api/trading/demo
Body: { "action": "place_order", "symbol": "BTCUSDT", "side": "BUY", "quantity": 0.01, "type": "MARKET" }
# Close position
POST /api/trading/demo
Body: { "action": "close_position", "symbol": "BTCUSDT" }
```
#### Backtest
```bash
# Run backtest
POST /api/trading/backtest
Body: {
"symbol": "BTCUSDT",
"startDate": "2024-01-01",
"endDate": "2024-06-01",
"initialCapital": 10000
}
```
#### News
```bash
# Get news
GET /api/trading/news?symbol=BTC&limit=20
# Get sentiment
GET /api/trading/news/sentiment?symbol=BTC
```
## ๐ง Configuration
### Environment Variables
Create a `.env` file:
```env
# Bybit API (optional - for live trading)
BYBIT_API_KEY=your_api_key
BYBIT_API_SECRET=your_api_secret
BYBIT_TESTNET=true
# News APIs (optional)
CRYPTOPANIC_API_KEY=your_key
CRYPTOCOMPARE_API_KEY=your_key
# ChromaDB (optional - for vector search)
CHROMADB_URL=http://localhost:8000
# Database
DATABASE_URL="file:./prisma/data/mantle-trader.db"
```
### Risk Settings
Configure in UserSettings table or via API:
- Risk Level: CONSERVATIVE, MODERATE, AGGRESSIVE
- Max Position Size: Default $1,000
- Max Leverage: Default 5x
- Auto Trading: Enable/disable automatic execution
## ๐ Signal Analysis
Each signal includes:
### Technical Analysis
- Trend direction and strength
- Support and resistance levels
- RSI, MACD, Moving Averages
- Candlestick patterns (Doji, Hammer, Engulfing, etc.)
### Fundamental Analysis
- News impact score
- Market events summary
- Economic factors
### Sentiment Analysis
- Overall sentiment score (-1 to 1)
- Sentiment label (Bullish/Bearish/Neutral)
- Key topics and trending keywords
### Risk Assessment
- Risk score and level
- Suggested stop-loss and take-profit
- Position sizing recommendations
## ๐งช Testing
```bash
# Run unit tests
bun test tests/unit/
# Run integration tests
bun test tests/integration/
# Run all tests
bun test
```
## ๐ Documentation
- [API Documentation](./docs/API.md)
- [Architecture Guide](./docs/ARCHITECTURE.md)
- [Contributing Guide](./docs/CONTRIBUTING.md)
## ๐ Security
- API keys are stored encrypted in the database
- All exchange communications use HTTPS
- WebSocket connections support authentication
- Rate limiting on all API endpoints
## ๐ License
MIT License - See [LICENSE](LICENSE) for details.
## ๐ Mantle Turing Test Hackathon
This project is built for the Mantle Turing Test Hackathon:
- **Track**: AI Trading
- **Prize Pool**: $120,000 cash + $103,000 API credits
- **Registration**: [mantle.to/Hackathon](https://mantle.to/Hackathon)
### Competition Tracks
- โ
AI Trading - Trading bots, strategy automation, Bybit API
- โ
AI Alpha & Data - Onchain analytics, anomaly detection
## ๐ค Contributing
1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Open a Pull Request
## ๐ Support
- GitHub Issues: [Report a bug](https://github.com/roman-ryzenadvanced/mantle-ai-trader/issues)
- Telegram: [Mantle Hackathon Chat](https://t.me/MantleTuringTestHackathon)
---
