Features

• Live Forex Data: Fetches real-time forex market data using the Twelve Data API.
• Technical Indicators: Calculates multiple indicators (MACD, RSI, Bollinger Bands, CCI, SMA, EMA, ADX, ATR, Stochastic, Support/Resistance, and more).
• News Sentiment Analysis: Uses NLP (TextBlob) to analyze news headlines and gauge market sentiment.
• Signal Generation: Combines technical and sentiment insights to generate Buy/Sell/Neutral signals with confidence scores.
• Interactive Dashboard: Clean, user-friendly dashboard with charts, signals, and news feed.
• Advanced Overlays: Visualizes Gann and Fibonacci overlays on charts.
• Modular Backend: Flask API for easy extension and integration.

🛠️ Tech Stack

• Python (Backend)
• Flask (REST API)
• Pandas (Data handling)
• TextBlob (NLP/Sentiment Analysis)
• Twelve Data API (Market Data)
• NewsAPI (News Headlines)
• JavaScript (Frontend logic)
• Lightweight Charts & TradingView (Charting)
• HTML/CSS (Frontend UI)

🚀 Getting Started

1. Clone the Repository

git clone https://github.com/Saimtec/Forex-Signal.git

Backend pip install -r requirements.txt

The backend will start at http://localhost:5000.

5. Run the Frontend

Open frontend/index.html in your browser, or use a simple HTTP server: Visit http://localhost:3000 in your browser.

🧠 What We Learned

• Parallel computing in Python for speed
• Handling real-time APIs & live data streams
• Sentiment scoring with TextBlob
• Building a Flask backend API
• Integrating TradingView and Lightweight Charts for visualization

🤝 Contributing

We welcome contributions, suggestions, and feedback!

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

📄 License

This project is for educational purposes..

🙏 Acknowledgements

• Twelve Data
• NewsAPI
• TradingView
• Lightweight Charts
• TextBlob

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