b1da4ee01d
Features: - AI-powered signal generation with multi-factor analysis - Fundamental news aggregation from multiple sources - Technical analysis with 6+ indicators - VectorDB integration for semantic search - Backtesting engine with performance metrics - Demo/paper trading mode - Real-time WebSocket updates - Comprehensive dashboard UI Built for Mantle Turing Test Hackathon - AI Trading track - AI Alpha & Data track
169 lines
5.2 KiB
Markdown
169 lines
5.2 KiB
Markdown
# Mantle AI Trading Bot - Worklog
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Task ID: 1
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Agent: Main Agent
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Task: Initialize project structure and architecture
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Work Log:
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- Created comprehensive project structure with all required directories
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- Designed system architecture with multiple components
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- Created Prisma database schema with all models (Signal, Trade, NewsArticle, etc.)
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- Initialized Next.js 16 project with TypeScript, Tailwind CSS, shadcn/ui
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Stage Summary:
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- Project structure created at /home/z/my-project
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- Database schema designed with 12 models for signals, trades, news, backtesting
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- Core types and interfaces defined in src/lib/trading/core/types.ts
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Task ID: 2
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Agent: Main Agent
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Task: Build core trading engine with Bybit API integration
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Work Log:
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- Created BybitClient class for exchange interactions
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- Implemented authentication with signature generation
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- Added methods for ticker, klines, order book data
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- Implemented order placement, cancellation, and position management
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- Added wallet balance and leverage management
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Stage Summary:
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- Core trading engine at src/lib/trading/core/trading-engine.ts
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- Full Bybit API integration with testnet support
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- Order management with market and limit orders
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- Position tracking and portfolio management
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Task ID: 3
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Agent: Main Agent
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Task: Implement news aggregation system
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Work Log:
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- Created NewsAggregator class with multiple source support
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- Implemented CryptoPanic, CoinGecko, CryptoCompare integrations
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- Added RSS feed support for custom sources
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- Built sentiment analysis with keyword-based scoring
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- Created category detection and tag extraction
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Stage Summary:
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- News aggregator at src/lib/trading/news/news-aggregator.ts
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- Support for 4+ news sources
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- Sentiment analysis with bullish/bearish detection
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- Market-moving news detection
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Task ID: 4
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Agent: Main Agent
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Task: Build VectorDB integration for semantic analysis
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Work Log:
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- Created VectorStore class with ChromaDB client
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- Implemented simple embedding generation for fallback
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- Added methods for storing and searching news articles
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- Created signal analysis storage and retrieval
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- Built contextual sentiment analysis
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Stage Summary:
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- Vector store at src/lib/vector/vector-store.ts
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- ChromaDB integration with fallback mode
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- Semantic search for similar articles
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- Signal analysis persistence
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Task ID: 5
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Agent: Main Agent
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Task: Create signal generation and rating system
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Work Log:
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- Created SignalEngine class for AI-powered signals
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- Implemented technical analysis (SMA, EMA, RSI, MACD)
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- Added support/resistance detection and pattern recognition
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- Built fundamental analysis from news data
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- Created comprehensive risk assessment
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- Added AI reasoning generation with z-ai-web-dev-sdk
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- Implemented confidence scoring and target calculation
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Stage Summary:
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- Signal engine at src/lib/trading/signals/signal-engine.ts
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- Complete technical analysis with 6+ indicators
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- Pattern detection (Doji, Hammer, Engulfing, Morning Star)
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- Multi-factor scoring system (technical, fundamental, sentiment)
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- Risk assessment with position sizing
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Task ID: 6
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Agent: Main Agent
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Task: Implement backtesting engine
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Work Log:
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- Created BacktestEngine class for strategy simulation
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- Implemented historical data simulation
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- Built trade execution with slippage and fees
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- Created performance metrics calculation (Sharpe, Sortino, etc.)
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- Added strategy optimization with parameter grid search
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- Built backtest report generation
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Stage Summary:
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- Backtest engine at src/lib/trading/backtest/backtest-engine.ts
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- Full trade simulation with stop-loss/take-profit
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- Comprehensive performance metrics
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- Strategy optimization support
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Task ID: 7
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Agent: Main Agent
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Task: Build demo mode for paper trading
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Work Log:
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- Created DemoTrader class for paper trading
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- Implemented order placement and execution
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- Added position tracking and P&L calculation
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- Built stop-loss and take-profit monitoring
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- Created trade statistics and history
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- Added real-time price updates and portfolio sync
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Stage Summary:
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- Demo trader at src/lib/trading/demo/demo-trader.ts
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- Complete paper trading system
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- Real-time position tracking
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- Event-based architecture for UI updates
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Task ID: 8
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Agent: Main Agent
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Task: Create WebSocket service and API routes
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Work Log:
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- Created TradingWebSocketService for real-time updates
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- Implemented socket.io server with event handlers
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- Created API routes for signals, news, backtest, demo trading
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- Added RESTful endpoints for all trading operations
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Stage Summary:
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- WebSocket service at mini-services/trading-service/index.ts
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- API routes in src/app/api/trading/
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- Real-time price updates and portfolio sync
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- Full CRUD operations for signals and trades
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Task ID: 9
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Agent: Main Agent
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Task: Build UI/Dashboard with real-time updates
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Work Log:
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- Created comprehensive dashboard with React components
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- Implemented real-time data display with socket.io
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- Built signal generation interface with analysis display
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- Created positions and portfolio visualization
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- Added charts with recharts (Line, Area, Pie)
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- Built news feed with sentiment indicators
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- Created backtesting interface
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Stage Summary:
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- Dashboard at src/app/page.tsx
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- Real-time updates via WebSocket
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- 4 main tabs: Signals, Positions, Backtest, News
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- Live price ticker for major pairs
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- Signal execution and position management
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