Cryptoweather

🚀 CryptoWeather AI Bitcoin Signal

🌈 AI-powered Bitcoin price prediction signals through Model Context Protocol (MCP)

This project offers real - time Bitcoin price prediction signals from the CryptoWeather AI system. You can get hourly updated trading signals, performance metrics, and AI - driven market insights directly in your Claude conversations.

🚀 Quick Start

CryptoWeather MCP Server provides real - time Bitcoin price prediction signals from the CryptoWeather AI system. After installation, you can obtain hourly updated trading signals, performance metrics, and AI - driven market insights directly in your Claude conversations.

✨ Features

• Real - time Bitcoin Signals: Obtain current AI predictions for Bitcoin price movements.
• Trading Recommendations: Receive detailed buy/sell/hold recommendations.
• Performance Metrics: Access historical backtest results and current profit metrics.
• Signal Analysis: Comprehend signal clarity and confidence levels.
• Hourly Updates: Get fresh predictions updated every hour.

📦 Installation

For Claude Desktop Users

1. Add to your Claude Desktop MCP configuration:

{
  "mcpServers": {
    "cryptoweather": {
      "command": "python",
      "args": ["/path/to/cryptoweather/main.py"]
    }
  }
}

For Developers

Install from source:

git clone https://github.com/2051project/cryptoweather.git
cd cryptoweather
pip install -e .

💻 Usage Examples

Basic Usage

Once installed, you can use the following tools in your Claude conversations:

Available Tools

1. get_bitcoin_signal() - Get current Bitcoin prediction signal
2. get_trading_recommendation() - Get detailed trading advice
3. get_performance_metrics() - View AI performance statistics
4. get_signal_history() - Learn about signal methodology

Example Usage

📚 Documentation

Signal Types

• Sunny ☀️: Strong directional signal with high confidence
• Cloudy ☁️: Mixed or uncertain market conditions

Position Types

• Buy: AI predicts price increase
• Sell: AI predicts price decrease
• Hold: AI suggests maintaining current position

API Information

• Update Frequency: Every hour
• Response Format: JSON with signal, clarity, position, and profit data

Example Response

{
  "Clear": {
    "Clarity": "74%",
    "backtest": "24,510%",
    "pos": "hold",
    "profit": "538%",
    "sig": "C",
    "signal": "Cloudy ☁️"
  },
  "version": "2.0"
}

📄 License

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

🔧 Technical Details

Development

Running in Debug Mode

python main.py --debug

Requirements

• Python 3.10+
• fastmcp >= 0.1.0
• requests >= 2.28.0

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

⚠️ Important Note

CryptoWeather predictions are for informational purposes only. This is not financial advice. Always do your own research and consider your risk tolerance before making trading decisions. Past performance does not guarantee future results.

💡 Usage Tip

For more information and support:

• Website: https://cryptoweather.xyz
• Issues: GitHub Issues

Made with ❤️ by the CryptoWeather Team