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An open-source backtesting tool for traders, developers, and analysts to simulate, analyze, and optimize crypto trading strategies using advanced Python libraries and API integration.

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CryptoTradeMate Backtesting Tool

Welcome to the CryptoTradeMate Backtesting Tool – an advanced, open-source platform designed for traders, developers, and financial analysts to simulate, analyze, and optimize crypto trading strategies. Built with cutting-edge Python libraries and Binance API integration, this tool provides robust capabilities for backtesting crypto trading strategies across multiple cryptocurrencies.

CTM backtesting tool result

You can also leverage CryptoTradeMate Decentralized Crypto Signal Sharing Bot β€”an open-source, self-hosted solution for sharing, accessing, and managing crypto trading signals in a privacy-first environment. With this bot, users can control their signal-sharing activities, track performance, and automate trading signal notifications.

Features

1. Comprehensive Data Fetching

  • Automatically fetch OHLCV (Open, High, Low, Close, Volume) data for multiple cryptocurrencies from Binance or your custom api.
  • Supports customizable time intervals (daily, hourly, etc.) and up to 365 days of historical data.

2. Multi-Cryptocurrency Support

  • Pre-configured to fetch and analyze data for popular cryptocurrencies, including:
    • Bitcoin (BTC)
    • Ethereum (ETH)
    • Solana (SOL)
    • Dogecoin (DOGE)
    • Litecoin (LTC)
    • Maker (MKR)
  • Easily extendable to other trading pairs.

3. Strategy Implementation

  • Test a variety of strategies with ease:
    • SMA-EMA Crossover: Simulates a strategy based on 50-day SMA and 200-day EMA crossovers.
    • Equal-Weighted Strategy: Allocates equal weight to all assets in the portfolio.
    • Market-Cap Weighted Strategy: Dynamically adjusts portfolio allocation based on simulated historical market caps.
    • Buy/Hold for Single Asset Strategies: Backtest individual crypto assets (e.g., Bitcoin-only or Ethereum-only strategies).

4. Robust Backtesting Framework

  • Powered by the bt library for seamless backtesting.
  • Includes pre-built classes for defining, testing, and comparing strategies.
  • Ensures accurate portfolio rebalancing and strategy execution.

5. Advanced Visualization

  • Generate detailed performance charts to visualize strategy results.
  • Compare multiple strategies side-by-side with cumulative returns and drawdown analysis.

6. Extensible Design

  • Built with modular components to allow easy customization and integration.
  • Add your trading strategies or connect to live trading systems.

Benefits

πŸš€ For Traders

  • Gain confidence in your trading strategies by simulating them with historical data.
  • Minimize risks by identifying weaknesses in strategies before deploying them in live markets.

πŸ“Š For Analysts

  • Perform deep-dive analyses of crypto markets and evaluate the performance of various strategies.
  • Identify trends and patterns using normalized price data and advanced visualizations.

πŸ’» For Developers

  • Access a robust, modular codebase that can be customized for proprietary use cases.
  • Integrate the tool with other trading platforms or data sources for enhanced functionality.

Getting Started

Prerequisites

Ensure you have the following installed:

  • Python 3.8 or above
  • Required libraries:
    pip install requests pandas bt matplotlib numpy

Running the Tool on Google Colab

  1. Clone this repository:
    !git clone https://github.com/CryptoTradeMate/cryptotrademate-backtesting-tool.git
  2. Navigate to the project directory:
    %cd backtesting-tool
  3. Install dependencies:
    !pip install -r requirements.txt
  4. Run the Python script:
    !python backtesting_tool.py

Premium Features

Upgrade to unlock advanced features and take your trading game to the next level:

  1. Advanced Strategies: Access proprietary trading strategies such as AI-driven algorithms, sentiment-based trading, and volatility-adjusted strategies.
  2. Real-Time Data Integration: Fetch live market data and execute trades in real time.
  3. Custom Reporting: Generate detailed performance reports with metrics tailored to your needs.
  4. Extended Historical Data: Gain access to more extensive data for in-depth analyses.
  5. Strategy Optimizer: Automatically tune your strategy parameters for maximum performance.

πŸ’‘ How to Upgrade:
Visit CryptoTradeMate Premium to learn more and subscribe.

Services

1. Custom Strategy Development

Our team of experts can help you design, implement, and test bespoke trading strategies tailored to your goals.

2. Consulting

Leverage our expertise in algorithmic trading and financial analysis to optimize your trading approach.

3. Enterprise Solutions

We provide scalable solutions for businesses, including integration with proprietary systems, data pipelines, and custom analytics dashboards.

πŸ’Ό Contact Us for Services:
Contact CryptoTradeMate

Contributing

We welcome contributions from the community! Whether it's fixing bugs, improving documentation, or adding new features, your help is greatly appreciated.

How to Contribute

  1. Fork the repository.
  2. Create a new branch for your feature or bugfix.
  3. Submit a pull request describing your changes.

Support the Project

Your support helps us improve and expand this tool:

  • ⭐ Star this repository to show your appreciation!

License

This project is licensed under the MIT License – see the LICENSE file for details.

Contact Us

For any inquiries or support, please reach out to us:

Empower your crypto trading journey with the CryptoTradeMate Backtesting Tool!