Initial commit: Mantle AI Trading Bot

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

worklog.md

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