# AI Trading Bot - Implementation Tasks

## Task 1: Project Infrastructure and Docker Setup

### Objectives
- Set up project structure and development environment
- Configure Docker Compose with all required services
- Implement environment variable management
- Create basic README with setup instructions

### Deliverables
- Complete directory structure following specification
- docker-compose.yml with backend, frontend, PostgreSQL, Redis, Celery
- .env.example with all required environment variables
- README.md with step-by-step setup instructions

### Acceptance Criteria
- [ ] Docker Compose successfully starts all services
- [ ] Backend and frontend containers build without errors
- [ ] PostgreSQL and Redis containers are accessible
- [ ] Environment variables properly configured via .env file
- [ ] Services communicate correctly (backend can reach database/Redis)
- [ ] README provides working setup for new developer

---

## Task 2: Backend API Structure and Authentication

### Objectives
- Implement FastAPI application structure
- Create user authentication system with JWT
- Set up API routing and middleware
- Implement security utilities (password hashing, encryption)

### Deliverables
- FastAPI main application with proper CORS configuration
- User registration and login endpoints
- JWT token authentication middleware
- Password hashing with bcrypt
- API key encryption/decryption utilities
- Pydantic schemas for request/response validation

### Acceptance Criteria
- [ ] POST /api/auth/register creates user with encrypted API keys
- [ ] POST /api/auth/login returns valid JWT token
- [ ] Protected endpoints require valid JWT token
- [ ] Passwords are properly hashed (cannot be reversed)
- [ ] API keys are AES-256 encrypted before database storage
- [ ] CORS configured for frontend development
- [ ] All endpoints have proper OpenAPI documentation

---

## Task 3: Database Setup and Core Models

### Objectives
- Configure PostgreSQL with TimescaleDB extension
- Implement database models using SQLAlchemy
- Create database migration system
- Set up async database connection and session management

### Deliverables
- User, Bot, Order, Trade, and Price models
- Database connection configuration with async SQLAlchemy
- TimescaleDB hypertable setup for price data
- Database migrations (Alembic or similar)
- Repository classes for database operations
- Database connection pooling and error handling

### Acceptance Criteria
- [ ] All tables created successfully in PostgreSQL
- [ ] TimescaleDB hypertable created for prices table
- [ ] Foreign key relationships properly configured
- [ ] Database migrations run without errors
- [ ] Async database operations work correctly
- [ ] Connection pool properly configured
- [ ] Database models include all required fields from schema

---

## Task 4: Binance Integration Service

### Objectives
- Implement Binance API client using ccxt
- Create WebSocket connection manager for real-time prices
- Handle Binance authentication and rate limiting
- Implement order placement, cancellation, and status checking

### Deliverables
- Binance service class with testnet and mainnet support
- WebSocket connection manager with auto-reconnect
- Order management methods (place, cancel, get status)
- Balance and position querying methods
- Rate limiting and error handling
- Health check endpoint for exchange connectivity

### Acceptance Criteria
- [ ] Successfully connects to Binance testnet API
- [ ] Places and cancels limit orders via ccxt
- [ ] WebSocket connection provides real-time price updates
- [ ] Handles network failures and reconnects automatically
- [ ] Rate limiting respects Binance API limits
- [ ] Balance queries return correct account information
- [ ] Order status updates correctly reflect on exchange

---

## Task 5: Grid Trading Strategy Implementation

### Objectives
- Implement core grid trading algorithm
- Calculate optimal grid levels based on support/resistance
- Create order management and grid rebalancing logic
- Implement P&L calculation and tracking

### Deliverables
- Grid strategy class implementing trading strategy interface
- Grid level calculation algorithms (support/resistance based)
- Order placement logic (buy orders lower half, sell orders upper half)
- Grid monitoring and rebalancing on order fills
- P&L calculation (realized and unrealized)
- Risk management (stop loss, daily limits)

### Acceptance Criteria
- [ ] Grid orders placed correctly based on current price and bounds
- [ ] Grid levels automatically calculated from market data
- [ ] Order fills trigger appropriate counter-order placement
- [ ] P&L calculated accurately for each completed trade pair
- [ ] Grid rebalancing maintains proper order distribution
- [ ] Stop loss and daily limits enforced
- [ ] Strategy works for at least 24 hours without intervention

---

## Task 6: AI Optimization Service

### Objectives
- Integrate Claude API for market analysis
- Create market data collection and formatting
- Implement AI prompt engineering for grid parameter optimization
- Handle AI response processing and validation

### Deliverables
- AI service class with Claude API integration
- Market data collection (current price, volatility, volume, indicators)
- Structured prompts for grid parameter optimization
- JSON response parsing and validation
- Confidence scoring and reasoning extraction
- API endpoint for AI optimization requests

### Acceptance Criteria
- [ ] Successfully calls Claude API with market data
- [ ] Returns structured JSON with grid parameters
- [ ] AI suggestions are reasonable based on market conditions
- [ ] Response includes confidence score and reasoning
- [ ] Invalid AI responses handled gracefully
- [ ] API endpoint accepts market data and returns suggestions
- [ ] Rate limiting prevents excessive API calls

---

## Task 7: Real-time WebSocket Implementation

### Objectives
- Implement WebSocket endpoints for real-time updates
- Create WebSocket connection management
- Set up Redis pub/sub for cross-process messaging
- Implement real-time price feed broadcasting

### Deliverables
- WebSocket endpoints for bot updates and market data
- Connection manager with automatic cleanup
- Redis pub/sub integration for multi-process communication
- Real-time price broadcasting service
- Frontend WebSocket client integration
- Connection state management and error handling

### Acceptance Criteria
- [ ] WebSocket connections established successfully
- [ ] Real-time price updates broadcast to connected clients
- [ ] Bot status changes sent via WebSocket
- [ ] Order updates transmitted in real-time
- [ ] Multiple clients can connect simultaneously
- [ ] WebSocket connections handle network interruptions
- [ ] Redis pub/sub correctly distributes messages across processes

---

## Task 8: Frontend Dashboard Setup and Layout

### Objectives
- Set up Vue 3 project with Vite and TailwindCSS
- Implement routing and main dashboard layout
- Create authentication flow and protected routes
- Set up Pinia store management

### Deliverables
- Vue 3 project with TypeScript support
- Vue Router configuration with authentication guards
- Login and registration pages
- Main dashboard layout with navigation
- Pinia stores for authentication and application state
- TailwindCSS configuration and design system
- Responsive design for desktop and tablet

### Acceptance Criteria
- [ ] Vue application runs successfully in development
- [ ] Routing works for login, register, and dashboard pages
- [ ] Authentication guards protect dashboard routes
- [ ] User can register, login, and access dashboard
- [ ] Dashboard layout displays correctly on desktop
- [ ] TailwindCSS styling applied consistently
- [ ] Pinia stores manage application state properly

---

## Task 9: Bot Management UI Components

### Objectives
- Create bot configuration form and validation
- Implement bot status card with real-time updates
- Create bot list and management interface
- Integrate with backend bot management endpoints

### Deliverables
- Bot configuration form with all required parameters
- Real-time bot status card component
- Bot list/grid view for multiple bots
- Start/stop bot controls with confirmation dialogs
- Bot creation and editing interface
- Form validation with real-time feedback
- Integration with bot management API endpoints

### Acceptance Criteria
- [ ] Configuration form validates all inputs correctly
- [ ] Bot creation saves configuration to database
- [ ] Status card shows real-time bot information
- [ ] Start/stop bot works with confirmation dialogs
- [ ] Multiple bots can be created and managed
- [ ] Form prevents submission with invalid data
- [ ] UI updates reflect backend bot changes immediately

---

## Task 10: Trading UI Components and Charts

### Objectives
- Implement real-time price charts with grid overlay
- Create order book and trade history displays
- Implement P&L tracking and statistics panels
- Create emergency stop functionality

### Deliverables
- Real-time candlestick chart with TradingView Lightweight Charts
- Grid levels overlay on price chart
- Order book showing active grid orders
- Trade history table with pagination
- P&L statistics panel (realized/unrealized, win rate, etc.)
- Emergency stop button with confirmation
- Buy/sell markers on price chart

### Acceptance Criteria
- [ ] Price chart displays real-time candlestick data
- [ ] Grid levels correctly overlaid on chart
- [ ] Order book shows all active grid orders
- [ ] Trade history displays completed trades with P&L
- [ ] Statistics panel shows accurate performance metrics
- [ ] Emergency stop button immediately halts all trading
- [ ] Chart updates smoothly without performance issues

---

## Task 11: Security Features and Safety Mechanisms

### Objectives
- Implement comprehensive input validation
- Create trading safety features (paper/live mode, limits)
- Add rate limiting and DDoS protection
- Implement audit logging and monitoring

### Deliverables
- Comprehensive input validation on all endpoints
- Paper trading mode enforcement
- Daily loss limits and stop loss mechanisms
- Rate limiting middleware for all endpoints
- Audit logging for all trading actions
- API key management with encryption
- Confirmation dialogs for live trading activation
- Health check endpoints for all services

### Acceptance Criteria
- [ ] All inputs validated and sanitized before processing
- [ ] Paper trading mode prevents real money trading
- [ ] Daily loss limits enforced automatically
- [ ] Live mode requires explicit confirmation
- [ ] Rate limiting prevents API abuse
- [ ] All trading actions logged for audit trail
- [ ] Health checks return status for all services
- [ ] System recovers gracefully from errors

---

## Task 12: Testing, Integration, and Final Deployment

### Objectives
- Implement comprehensive testing (unit, integration, end-to-end)
- Perform full system integration testing
- Create deployment documentation and scripts
- Verify all success criteria from specification

### Deliverables
- Unit tests for all backend services and strategies
- Integration tests for API endpoints
- Frontend component tests and E2E testing
- Docker production configuration
- CI/CD pipeline configuration
- Monitoring and logging setup
- Performance testing and optimization
- Final documentation and deployment guide

### Acceptance Criteria
- [ ] All unit tests pass with >80% code coverage
- [ ] Integration tests verify complete user workflows
- [ ] End-to-end tests confirm grid trading works end-to-end
- [ ] Docker containers deploy successfully to production
- [ ] System runs stable for 24+ hours in paper mode
- [ ] All success criteria from specification verified:
  - [ ] Connects to Binance testnet ✓
  - [ ] Places grid orders via UI ✓
  - [ ] Dashboard shows live P&L ✓
  - [ ] AI suggests parameters ✓
  - [ ] Paper trading tracks correctly ✓
  - [ ] Start/stop works ✓
  - [ ] Runs stable 24h+ ✓
  - [ ] WebSocket updates real-time ✓
- [ ] README provides complete setup instructions
- [ ] .env.example includes all required variables

---

## Task Dependencies and Flow

```
Task 1 (Infrastructure) → Task 2 (Backend API) → Task 3 (Database)
                                                          ↓
Task 8 (Frontend) ← Task 7 (WebSocket) ← Task 4 (Binance)    
                       ↓                     ↓
Task 9 (Bot UI) ← Task 6 (AI Service) ← Task 5 (Grid Strategy)
                       ↓
Task 10 (Trading UI) ← Task 11 (Security)
                       ↓
         Task 12 (Testing & Deployment)
```

## Notes

- **Paper Trading First**: All development must prioritize paper trading mode
- **Testnet Only**: Use Binance testnet exclusively during development
- **Incremental Testing**: Test each task independently before proceeding
- **Error Handling**: Comprehensive error handling required at all levels
- **Documentation**: Update README and add inline code documentation
- **Performance**: Monitor performance and optimize bottlenecks early