Claude
754b4a62c0
Implemented comprehensive economic calendar system for trading event alerts:
Backend (economic_calendar.py):
- GET /api/economic-calendar/events: Fetch events by days, countries, impact level
- GET /api/economic-calendar/today: Get today's scheduled events
- GET /api/economic-calendar/upcoming: Events within X hours (1-168)
- GET /api/economic-calendar/high-impact: Only critical events (next 30 days)
- GET /api/economic-calendar/by-country/{country}: Country-specific events
- GET /api/economic-calendar/impact-analysis: Gold trading impact analysis
- GET /api/economic-calendar/calendar-view: Calendar view with events by day
- POST /api/economic-calendar/events/{event_id}/notify: Set reminder notifications
- GET /api/economic-calendar/stats: Event statistics and busiest days
Features:
- Sample economic events: NFP, CPI, Unemployment, Fed Rate Decision, ECB Rate
- Impact levels: High/Medium/Low with color coding
- Forecast, previous, and actual values tracking
- Event filtering by country, impact, and days ahead
- Multiple sort options: date, importance, impact
- Notifications 15-120 minutes before events
- Gold trading correlation analysis
- Statistics for 7-day and 30-day windows
Frontend (EconomicCalendar.tsx):
- Calendar overview with event statistics
- Upcoming and high-impact event tabs
- Country-based filtering
- Impact-based color coding (red/yellow/blue)
- Event details: forecast, previous, actual values
- Trading tips for different event types
- Event time display with timezone consideration
- Correlation guidance (USD inverse, rates inverse)
- Visual indicators for pending/actual events
Integration:
- Registered economic_calendar router in main.py
- Added EconomicCalendar tab to App.tsx
- Integrated with navigation system
- Full TypeScript support
Note: Currently uses mock data. In production, integrate with:
- Trading Economics API
- Forexfactory Calendar
- Economic Calendar Pro
- OANDA Calendar
🏆 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