---

🚀 Low-Latency Algorithmic Cryptocurrency Trading System (Go + Python)

A high-performance cryptocurrency trading platform with a Go-based backend and a Python Streamlit frontend. Designed for backtesting and executing algorithmic strategies using historical and live data with low latency.

---

📐 System Design

• Procedure Diagram:
  
• Sequence Diagram:
  
• System Architecture:
  
• Class Diagram:
  

---

📁 Repository Structure

trading-system/
├── backend/           # Go backend for strategy execution and APIs
├── frontend/          # Python Streamlit frontend for user interface
├── dependencies/      # go.mod and go.sum for module management
├── docs/              # Design documents and PDFs
├── logs/              # Log files for trades
├── README.md          # Project documentation

---

🔧 Requirements

Backend (Go)

• Go 1.18+
• Key packages:
  • github.com/adshao/go-binance/v2
  • github.com/gin-gonic/gin
  • gonum.org/v1/plot

Frontend (Python)

• Python 3.8+
• Key packages:
  • streamlit
  • requests
  • pandas

---

⚙️ Installation & Setup

Backend Setup

# Install Go from https://golang.org/dl/
git clone https://github.com/yourusername/trading-system.git
cd trading-system/backend
go mod tidy
go run main.go

Frontend Setup

# Install Python from https://python.org
cd frontend
pip install -r requirements.txt
streamlit run frontend.py

---

🚀 Running the Application

• Backend runs on localhost:8080 with routes like:

  • POST /trade
  • GET /exchanges
  • GET /symbols

• Frontend launches a local Streamlit web UI where users can:

  • Select exchange/symbol
  • Input strategy parameters
  • Run backtests
  • View & download results

---

📊 Strategy & Usage

• Backend:

  • Supports custom strategies like KAGE, KITSUNE, ZEN, TENSHI, etc.
  • Reads historical data from CSV or Binance API.
  • Logs and visualizes trades.

• Frontend:

  • User-friendly tabs for input and visualization.
  • Trade results displayed with metrics and graphs.
  • CSV export option for trade data.

---

📦 Backend Code Highlights

• main.go: Core logic, strategy handlers, API endpoints.
• Custom indicators: RSI, Stochastic, SMA/EMA, Novel Oscillator.
• Multiple strategy modules, each independently testable.

---

💻 Frontend Highlights

• Streamlit dashboard with real-time UI components.
• Sidebar input for parameters.
• Tabs for strategy logic, documentation, and results.

---

🤝 Contributing

1. Fork the repository.
2. Create your feature branch (git checkout -b feature-name).
3. Commit your changes.
4. Push to the branch (git push origin feature-name).
5. Open a pull request!

---

📄 License

This project is licensed under the MIT License. See LICENSE for details.

---

Would you like this saved as an updated README.md file?

License

Distributed under the MIT License. See LICENSE for more information.

---