Currency Correlation Charting

Description

A Python-based tool for analyzing and visualizing currency pair correlations in the forex market. This project helps traders understand the relationships between different currency pairs through data analysis and interactive charts.

Features

• Calculates correlation coefficients between currency pairs
• Generates correlation matrices
• Creates visual correlation heatmaps
• Analyzes historical correlation patterns
• Provides interactive data visualization
• Supports multiple timeframes analysis

Installation

1. Clone the repository

    git clone https://github.com/YoussefBechara/Curreny-Correlation-Charting.git
   
    Install required dependencies
   
    pip install -r requirements.txt
   

Usage

Open the Jupyter notebook CorrelationCharting.ipynb to start analyzing currency correlations:

  jupyter notebook CorrelationCharting.ipynb

Requirements

Python 3.x
Jupyter Notebook
Required Python packages:
    pandas
    numpy
    seaborn
    matplotlib
    plotly (for interactive charts)
    yfinance (for data fetching)

How It Works

Fetches historical forex data
Calculates correlation coefficients
Generates correlation matrices
Creates visual representations
Allows for custom timeframe analysis

Applications

Risk management in forex trading
Portfolio diversification
Trading strategy development
Market analysis and research

Contributing

Contributions are welcome! Feel free to submit a Pull Request.

Youssef Bechara

#Disclaimer

This tool is for educational and research purposes only. Trading forex carries significant risks. Always conduct your own analysis and research before making trading decisions. Support

For support or feature requests, please open an issue in the GitHub repository.