robinhood/README.md

🏆 Gold Trading Simulator

An AI-powered gold trading scenario simulator with professional-grade charting, analytics, and risk management tools.

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📖 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

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✨ 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

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🚀 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

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🏗️ 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

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🛠️ Technology Stack

Backend: FastAPI • PostgreSQL • SQLAlchemy • WebSockets • Pandas
Frontend: React 18 • TypeScript • Vite • TailwindCSS • Lightweight Charts
APIs: Alpha Vantage • OpenRouter AI

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📡 API Endpoints

Market Data

• GET /api/market/gold/current - Current price
• GET /api/market/gold/historical - Historical data
• GET /api/ohlcv/klines - Live OHLCV data

Trading

• POST /api/trading/buy - Execute buy
• POST /api/trading/sell - Execute sell
• GET /api/trading/portfolio - Portfolio status

AI Analysis

• POST /api/ai/analyze - AI trade recommendation
• POST /api/ai/summarize-news - News summary

News & Alerts

• GET /api/news/headlines - Latest news
• POST /api/alerts/create - Create alert

Live Streaming

• WS /api/stream/price - Real-time price updates

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🎯 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

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📚 Full Documentation

For complete setup instructions, feature guides, customization options, and more:

👉 Visit the docs/ directory

Documentation Index

• Setup & Configuration

  • Quick Start
  • Setup Notes
  • Production Controls

• Features & Capabilities

  • Enhancement Summary
  • Live Chart Implementation
  • News & Alerts

• Usage Guides

  • Daily Trading Workflow
  • Dashboard Customization
  • Simulated Feed Guide

• Development

  • Testing Checklist
  • Chart Fix Summary

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⚠️ Disclaimer

This is a simulation and educational tool. Not financial advice. Do not use for actual trading decisions. No real money involved.

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📄 License

This is a demonstration project. Feel free to fork and modify for educational purposes.

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Built with ❤️ using FastAPI, React, and modern web technologies