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.

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

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 

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

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

# 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

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

• 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

• 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.

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

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

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!

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

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