AlphaSphere-AI

AlphaSphere-AI is a next-generation, AI-powered trading and investment analytics platform. It provides advanced tools, real-time data, and intelligent insights for stocks, options, and forex markets, empowering both retail and professional traders to make smarter, faster, and more informed decisions.

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🚀 Features

1. Comprehensive Market Coverage

• Stocks, Options, and Forex: Analyze and trade across multiple asset classes with seamless navigation.
• Real-Time Data: Live price charts, order books, and market depth for accurate, up-to-the-second information.

2. AI-Driven Analytics

• Predictive Price Forecasting: Leverage machine learning models to forecast price movements and trends.
• AI Options Flow & Insider Trading Analysis: Uncover hidden market signals and unusual activity.
• Earnings & News Impact Prediction: Assess how news and earnings reports may affect asset prices.
• Pattern Recognition & Sentiment Analysis: Detect technical patterns and gauge market sentiment using NLP and deep learning.

3. Advanced Trading Tools

• Options Chain & Strategy Builder: Visualize options data and construct complex strategies with ease.
• Backtest Simulator: Test your trading ideas against historical data.
• Portfolio Optimizer & Risk Management: Optimize allocations and manage risk with AI-powered recommendations.

4. Intuitive User Experience

• Modern, Responsive UI: Built with React and Tailwind CSS for a seamless experience on any device.
• Smart Alerts & Notifications: Get notified about key market events, price levels, and portfolio changes.
• Social Trading & Community: Share strategies, follow top traders, and discuss market moves.

5. Robust Architecture

• Frontend: React (with TypeScript), Vite, modular component structure.
• Backend Proxy: Python Flask server for secure API key management and proxying requests to external data providers.
• State Management: React Context for authentication and portfolio state.
• Extensible: Easily add new analytics modules, data sources, or UI components.

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🗂️ Project Structure

AlphaSphere-AI/
│
├── src/
│   ├── app/                # Next.js-style app directory (routing, layouts)
│   ├── components/         # Reusable UI and analytics components
│   ├── context/            # React Context providers (auth, portfolio, etc.)
│   ├── data/               # Static and mock data
│   ├── hooks/              # Custom React hooks
│   ├── lib/                # Core logic, API clients, and utilities
│   ├── pages/              # Main application pages (dashboard, trading, analytics, etc.)
│   └── types/              # TypeScript type definitions
│
├── backend_proxy/          # Flask backend proxy for secure API access
│   ├── app.py              # Main Flask app (API proxy)
│   └── requirements.txt    # Python dependencies
│
├── public/                 # Static assets
├── package.json            # Project metadata and dependencies
├── tailwind.config.ts      # Tailwind CSS configuration
└── README.md               # Project documentation

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⚙️ Getting Started

1. Clone the Repository

git clone https://github.com/yourusername/AlphaSphere-AI.git
cd AlphaSphere-AI

2. Install Frontend Dependencies

npm install

3. Set Up Environment Variables

• Create a .env file in the root and add your API keys or credentials for your chosen data providers.
• For the backend proxy, create a .env file in backend_proxy/ with your required API credentials, for example:

  API_KEY_ID=your_key
  API_SECRET_KEY=your_secret
  

  (Replace with the actual variable names required by your data provider.)

4. Run the Backend Proxy

cd backend_proxy
pip install -r requirements.txt
python app.py

• The proxy runs on port 5001 by default.

5. Run the Frontend

npm run dev

• The app runs on Vite's default port (usually 5173 or 8080).

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🧠 Key Components

• StockPriceChart, RealTimeStockChart: Interactive, real-time price visualization.
• PredictivePriceForecasting, AIEarningsPrediction: AI modules for forecasting and event analysis.
• OptionChain, OptionStrategyBuilder: Options analytics and strategy construction.
• PortfolioOptimizer, RiskManagementDashboard: AI-driven portfolio and risk tools.
• SmartAlerts, SmartNotifications: Customizable alerting system.
• SocialTrading, CommunityPage: Social features for collaborative trading.

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🔒 Security & API Management

• All sensitive API requests are routed through the Flask backend proxy, keeping your API keys secure and off the client.
• CORS is enabled for local development; configure as needed for production.

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🤝 Contributing

1. Fork the repo and create your feature branch (git checkout -b feature/YourFeature)
2. Commit your changes (git commit -am 'Add new feature')
3. Push to the branch (git push origin feature/YourFeature)
4. Open a Pull Request

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📄 License

This project is licensed under the MIT License.

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💡 Inspiration

AlphaSphere-AI is inspired by the need for accessible, AI-powered trading tools that combine professional-grade analytics with a user-friendly interface. Whether you're a beginner or a seasoned trader, AlphaSphere-AI aims to be your all-in-one trading companion.