363 lines
13 KiB
Markdown
363 lines
13 KiB
Markdown
# AI Trading Bot - Implementation Tasks
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## Task 1: Project Infrastructure and Docker Setup
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### Objectives
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- Set up project structure and development environment
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- Configure Docker Compose with all required services
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- Implement environment variable management
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- Create basic README with setup instructions
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### Deliverables
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- Complete directory structure following specification
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- docker-compose.yml with backend, frontend, PostgreSQL, Redis, Celery
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- .env.example with all required environment variables
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- README.md with step-by-step setup instructions
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### Acceptance Criteria
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- [ ] Docker Compose successfully starts all services
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- [ ] Backend and frontend containers build without errors
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- [ ] PostgreSQL and Redis containers are accessible
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- [ ] Environment variables properly configured via .env file
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- [ ] Services communicate correctly (backend can reach database/Redis)
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- [ ] README provides working setup for new developer
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---
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## Task 2: Backend API Structure and Authentication
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### Objectives
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- Implement FastAPI application structure
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- Create user authentication system with JWT
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- Set up API routing and middleware
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- Implement security utilities (password hashing, encryption)
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### Deliverables
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- FastAPI main application with proper CORS configuration
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- User registration and login endpoints
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- JWT token authentication middleware
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- Password hashing with bcrypt
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- API key encryption/decryption utilities
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- Pydantic schemas for request/response validation
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### Acceptance Criteria
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- [ ] POST /api/auth/register creates user with encrypted API keys
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- [ ] POST /api/auth/login returns valid JWT token
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- [ ] Protected endpoints require valid JWT token
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- [ ] Passwords are properly hashed (cannot be reversed)
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- [ ] API keys are AES-256 encrypted before database storage
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- [ ] CORS configured for frontend development
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- [ ] All endpoints have proper OpenAPI documentation
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---
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## Task 3: Database Setup and Core Models
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### Objectives
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- Configure PostgreSQL with TimescaleDB extension
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- Implement database models using SQLAlchemy
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- Create database migration system
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- Set up async database connection and session management
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### Deliverables
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- User, Bot, Order, Trade, and Price models
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- Database connection configuration with async SQLAlchemy
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- TimescaleDB hypertable setup for price data
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- Database migrations (Alembic or similar)
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- Repository classes for database operations
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- Database connection pooling and error handling
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### Acceptance Criteria
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- [ ] All tables created successfully in PostgreSQL
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- [ ] TimescaleDB hypertable created for prices table
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- [ ] Foreign key relationships properly configured
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- [ ] Database migrations run without errors
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- [ ] Async database operations work correctly
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- [ ] Connection pool properly configured
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- [ ] Database models include all required fields from schema
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---
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## Task 4: Binance Integration Service
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### Objectives
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- Implement Binance API client using ccxt
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- Create WebSocket connection manager for real-time prices
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- Handle Binance authentication and rate limiting
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- Implement order placement, cancellation, and status checking
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### Deliverables
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- Binance service class with testnet and mainnet support
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- WebSocket connection manager with auto-reconnect
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- Order management methods (place, cancel, get status)
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- Balance and position querying methods
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- Rate limiting and error handling
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- Health check endpoint for exchange connectivity
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### Acceptance Criteria
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- [ ] Successfully connects to Binance testnet API
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- [ ] Places and cancels limit orders via ccxt
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- [ ] WebSocket connection provides real-time price updates
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- [ ] Handles network failures and reconnects automatically
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- [ ] Rate limiting respects Binance API limits
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- [ ] Balance queries return correct account information
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- [ ] Order status updates correctly reflect on exchange
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---
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## Task 5: Grid Trading Strategy Implementation
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### Objectives
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- Implement core grid trading algorithm
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- Calculate optimal grid levels based on support/resistance
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- Create order management and grid rebalancing logic
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- Implement P&L calculation and tracking
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### Deliverables
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- Grid strategy class implementing trading strategy interface
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- Grid level calculation algorithms (support/resistance based)
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- Order placement logic (buy orders lower half, sell orders upper half)
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- Grid monitoring and rebalancing on order fills
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- P&L calculation (realized and unrealized)
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- Risk management (stop loss, daily limits)
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### Acceptance Criteria
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- [ ] Grid orders placed correctly based on current price and bounds
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- [ ] Grid levels automatically calculated from market data
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- [ ] Order fills trigger appropriate counter-order placement
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- [ ] P&L calculated accurately for each completed trade pair
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- [ ] Grid rebalancing maintains proper order distribution
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- [ ] Stop loss and daily limits enforced
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- [ ] Strategy works for at least 24 hours without intervention
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---
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## Task 6: AI Optimization Service
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### Objectives
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- Integrate Claude API for market analysis
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- Create market data collection and formatting
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- Implement AI prompt engineering for grid parameter optimization
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- Handle AI response processing and validation
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### Deliverables
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- AI service class with Claude API integration
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- Market data collection (current price, volatility, volume, indicators)
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- Structured prompts for grid parameter optimization
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- JSON response parsing and validation
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- Confidence scoring and reasoning extraction
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- API endpoint for AI optimization requests
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### Acceptance Criteria
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- [ ] Successfully calls Claude API with market data
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- [ ] Returns structured JSON with grid parameters
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- [ ] AI suggestions are reasonable based on market conditions
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- [ ] Response includes confidence score and reasoning
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- [ ] Invalid AI responses handled gracefully
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- [ ] API endpoint accepts market data and returns suggestions
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- [ ] Rate limiting prevents excessive API calls
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---
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## Task 7: Real-time WebSocket Implementation
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### Objectives
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- Implement WebSocket endpoints for real-time updates
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- Create WebSocket connection management
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- Set up Redis pub/sub for cross-process messaging
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- Implement real-time price feed broadcasting
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### Deliverables
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- WebSocket endpoints for bot updates and market data
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- Connection manager with automatic cleanup
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- Redis pub/sub integration for multi-process communication
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- Real-time price broadcasting service
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- Frontend WebSocket client integration
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- Connection state management and error handling
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### Acceptance Criteria
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- [ ] WebSocket connections established successfully
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- [ ] Real-time price updates broadcast to connected clients
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- [ ] Bot status changes sent via WebSocket
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- [ ] Order updates transmitted in real-time
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- [ ] Multiple clients can connect simultaneously
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- [ ] WebSocket connections handle network interruptions
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- [ ] Redis pub/sub correctly distributes messages across processes
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---
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## Task 8: Frontend Dashboard Setup and Layout
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### Objectives
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- Set up Vue 3 project with Vite and TailwindCSS
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- Implement routing and main dashboard layout
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- Create authentication flow and protected routes
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- Set up Pinia store management
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### Deliverables
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- Vue 3 project with TypeScript support
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- Vue Router configuration with authentication guards
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- Login and registration pages
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- Main dashboard layout with navigation
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- Pinia stores for authentication and application state
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- TailwindCSS configuration and design system
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- Responsive design for desktop and tablet
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### Acceptance Criteria
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- [ ] Vue application runs successfully in development
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- [ ] Routing works for login, register, and dashboard pages
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- [ ] Authentication guards protect dashboard routes
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- [ ] User can register, login, and access dashboard
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- [ ] Dashboard layout displays correctly on desktop
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- [ ] TailwindCSS styling applied consistently
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- [ ] Pinia stores manage application state properly
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---
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## Task 9: Bot Management UI Components
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### Objectives
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- Create bot configuration form and validation
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- Implement bot status card with real-time updates
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- Create bot list and management interface
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- Integrate with backend bot management endpoints
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### Deliverables
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- Bot configuration form with all required parameters
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- Real-time bot status card component
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- Bot list/grid view for multiple bots
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- Start/stop bot controls with confirmation dialogs
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- Bot creation and editing interface
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- Form validation with real-time feedback
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- Integration with bot management API endpoints
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### Acceptance Criteria
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- [ ] Configuration form validates all inputs correctly
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- [ ] Bot creation saves configuration to database
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- [ ] Status card shows real-time bot information
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- [ ] Start/stop bot works with confirmation dialogs
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- [ ] Multiple bots can be created and managed
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- [ ] Form prevents submission with invalid data
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- [ ] UI updates reflect backend bot changes immediately
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---
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## Task 10: Trading UI Components and Charts
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### Objectives
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- Implement real-time price charts with grid overlay
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- Create order book and trade history displays
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- Implement P&L tracking and statistics panels
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- Create emergency stop functionality
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### Deliverables
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- Real-time candlestick chart with TradingView Lightweight Charts
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- Grid levels overlay on price chart
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- Order book showing active grid orders
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- Trade history table with pagination
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- P&L statistics panel (realized/unrealized, win rate, etc.)
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- Emergency stop button with confirmation
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- Buy/sell markers on price chart
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### Acceptance Criteria
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- [ ] Price chart displays real-time candlestick data
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- [ ] Grid levels correctly overlaid on chart
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- [ ] Order book shows all active grid orders
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- [ ] Trade history displays completed trades with P&L
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- [ ] Statistics panel shows accurate performance metrics
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- [ ] Emergency stop button immediately halts all trading
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- [ ] Chart updates smoothly without performance issues
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---
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## Task 11: Security Features and Safety Mechanisms
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### Objectives
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- Implement comprehensive input validation
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- Create trading safety features (paper/live mode, limits)
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- Add rate limiting and DDoS protection
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- Implement audit logging and monitoring
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### Deliverables
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- Comprehensive input validation on all endpoints
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- Paper trading mode enforcement
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- Daily loss limits and stop loss mechanisms
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- Rate limiting middleware for all endpoints
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- Audit logging for all trading actions
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- API key management with encryption
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- Confirmation dialogs for live trading activation
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- Health check endpoints for all services
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### Acceptance Criteria
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- [ ] All inputs validated and sanitized before processing
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- [ ] Paper trading mode prevents real money trading
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- [ ] Daily loss limits enforced automatically
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- [ ] Live mode requires explicit confirmation
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- [ ] Rate limiting prevents API abuse
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- [ ] All trading actions logged for audit trail
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- [ ] Health checks return status for all services
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- [ ] System recovers gracefully from errors
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---
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## Task 12: Testing, Integration, and Final Deployment
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### Objectives
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- Implement comprehensive testing (unit, integration, end-to-end)
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- Perform full system integration testing
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- Create deployment documentation and scripts
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- Verify all success criteria from specification
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### Deliverables
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- Unit tests for all backend services and strategies
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- Integration tests for API endpoints
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- Frontend component tests and E2E testing
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- Docker production configuration
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- CI/CD pipeline configuration
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- Monitoring and logging setup
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- Performance testing and optimization
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- Final documentation and deployment guide
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### Acceptance Criteria
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- [ ] All unit tests pass with >80% code coverage
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- [ ] Integration tests verify complete user workflows
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- [ ] End-to-end tests confirm grid trading works end-to-end
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- [ ] Docker containers deploy successfully to production
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- [ ] System runs stable for 24+ hours in paper mode
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- [ ] All success criteria from specification verified:
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- [ ] Connects to Binance testnet ✓
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- [ ] Places grid orders via UI ✓
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- [ ] Dashboard shows live P&L ✓
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- [ ] AI suggests parameters ✓
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- [ ] Paper trading tracks correctly ✓
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- [ ] Start/stop works ✓
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- [ ] Runs stable 24h+ ✓
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- [ ] WebSocket updates real-time ✓
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- [ ] README provides complete setup instructions
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- [ ] .env.example includes all required variables
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---
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## Task Dependencies and Flow
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```
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Task 1 (Infrastructure) → Task 2 (Backend API) → Task 3 (Database)
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↓
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Task 8 (Frontend) ← Task 7 (WebSocket) ← Task 4 (Binance)
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↓ ↓
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Task 9 (Bot UI) ← Task 6 (AI Service) ← Task 5 (Grid Strategy)
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↓
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Task 10 (Trading UI) ← Task 11 (Security)
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↓
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Task 12 (Testing & Deployment)
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```
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## Notes
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- **Paper Trading First**: All development must prioritize paper trading mode
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- **Testnet Only**: Use Binance testnet exclusively during development
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- **Incremental Testing**: Test each task independently before proceeding
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- **Error Handling**: Comprehensive error handling required at all levels
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- **Documentation**: Update README and add inline code documentation
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- **Performance**: Monitor performance and optimize bottlenecks early
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