Claude
7dd2166bf4
Complete implementation of Phase 1 enhancements including: Backend: - UserProfile model for storing user preferences (timezone, trading style, risk tolerance) - DailyRoutine model for scheduling routines (morning, active_trading, evening) - RoutineExecution model for tracking routine execution history - Notification model for managing all types of notifications - DailyChecklist model for daily task tracking with completion percentage - HabitTracker model for tracking habits and streaks Services: - RoutineService: Handles routine execution with task registry pattern - RoutineScheduler: Async scheduler for automated routine execution - NotificationService: Comprehensive notification creation and delivery system - Support for price alerts, news, routines, reminders, and performance notifications API Endpoints (daily_helper router): - User profile: CRUD operations, get/update preferences - Daily routines: Create, list, execute, track history - Notifications: CRUD, mark read, batch operations - Daily checklists: CRUD, item management, completion tracking - Habits: Create, track, log completions, manage streaks - Dashboard: Summary endpoint for daily helper overview Frontend Components: - UserProfileSetup: Complete user profile configuration with preferences - NotificationCenter: Bell icon with dropdown, notification management - HabitTracker: Habit creation, streak tracking, gamification with fire emojis - DailyChecklistPanel: Checklist management with completion percentage Schemas: - Full Pydantic schemas for request/response validation - Type-safe API contracts Features: - Timezone support for international users - Trading style and risk tolerance preferences - Automated routine execution with task registry - Real-time notifications with priority levels - Habit streaks with motivational badges - Daily checklist with persistent state - Completion percentage tracking - Notes and metadata support All components are production-ready with error handling and user feedback.
🏆 Gold Trading Simulator
An AI-powered gold trading scenario simulator with professional-grade charting, analytics, and risk management tools.
📖 Documentation
All comprehensive documentation has been consolidated in the docs/ directory.
Quick Links
- 🚀 Quick Start Guide - Get running in 5 minutes
- 📋 Complete Documentation - Full project documentation
- 💡 Feature Overview - All features explained
- 📊 Daily Workflow - Trading best practices
✨ Key Features
- Real-time candlestick charts with WebSocket streaming
- AI-powered trade analysis using Claude/GPT-4
- 9+ technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands, etc.)
- Advanced analytics (Win rate, Sharpe ratio, drawdown analysis)
- Risk management tools with position sizing
- Live financial news with AI summarization
- Customizable dashboard with 5+ presets
- 22+ professional UI components
🚀 Quick Start
Prerequisites
- Node.js 18+ and Python 3.11+
- Docker (for PostgreSQL)
- API Keys: Alpha Vantage (free) + OpenRouter (~$5)
Setup (5 minutes)
# 1. Clone and navigate
git clone <repository-url>
cd gold-trading-simulator
# 2. Start database
docker-compose up -d
# 3. Backend setup (Terminal 1)
cd backend
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install -r requirements.txt
# Create backend/.env and add your API keys
python -m app.main
# 4. Frontend setup (Terminal 2)
cd frontend
npm install
npm run dev
Open browser: http://localhost:3000
👉 See QUICKSTART.md for detailed instructions
🏗️ Project Structure
gold-trading-simulator/
├── backend/ # FastAPI Python backend
│ ├── app/
│ │ ├── api/ # REST API endpoints
│ │ ├── services/ # Business logic
│ │ ├── streaming/ # WebSocket handlers
│ │ └── models/ # Database models
│ └── requirements.txt
├── frontend/ # React + TypeScript frontend
│ ├── src/
│ │ ├── components/ # 22+ UI components
│ │ ├── services/ # API clients
│ │ └── utils/ # Indicators & helpers
│ └── package.json
├── database/ # DB initialization
├── docs/ # 📚 Complete documentation
└── docker-compose.yml # PostgreSQL setup
🛠️ Technology Stack
Backend: FastAPI • PostgreSQL • SQLAlchemy • WebSockets • Pandas
Frontend: React 18 • TypeScript • Vite • TailwindCSS • Lightweight Charts
APIs: Alpha Vantage • OpenRouter AI
📡 API Endpoints
Market Data
GET /api/market/gold/current- Current priceGET /api/market/gold/historical- Historical dataGET /api/ohlcv/klines- Live OHLCV data
Trading
POST /api/trading/buy- Execute buyPOST /api/trading/sell- Execute sellGET /api/trading/portfolio- Portfolio status
AI Analysis
POST /api/ai/analyze- AI trade recommendationPOST /api/ai/summarize-news- News summary
News & Alerts
GET /api/news/headlines- Latest newsPOST /api/alerts/create- Create alert
Live Streaming
WS /api/stream/price- Real-time price updates
🎯 Use Cases
- Trading Education - Learn technical analysis and trading strategies
- Strategy Testing - Backtest and validate trading ideas
- Portfolio Management - Practice risk management and position sizing
- AI Integration - Explore AI-powered trading recommendations
- Full-Stack Demo - Showcase modern web development skills
📚 Full Documentation
For complete setup instructions, feature guides, customization options, and more:
Documentation Index
-
Setup & Configuration
-
Features & Capabilities
-
Usage Guides
-
Development
⚠️ Disclaimer
This is a simulation and educational tool. Not financial advice. Do not use for actual trading decisions. No real money involved.
📄 License
This is a demonstration project. Feel free to fork and modify for educational purposes.
Built with ❤️ using FastAPI, React, and modern web technologies