# Mantle AI Trading Bot - Worklog

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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

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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

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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

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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

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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

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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

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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

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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

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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
