Mean Reversion Trading Algorithm/30_days_of_Python

[pratikshabhujade]

This project implements a mean reversion trading strategy using historical stock data. The strategy focuses on the idea that a security will revert to its average price over time.

Features

• Data Fetching: Retrieves historical stock data from Yahoo Finance.
• Indicator Calculation: Computes moving averages, standard deviations, and Z-scores.
• Signal Generation: Generates buy and sell signals based on Z-score thresholds.
• Visualization: Plots stock prices, moving averages, and trading signals.

Prerequisites

Install the necessary Python libraries: bash pip install pandas pandas_datareader numpy matplotlib seaborn

Usage Set Up: Configure start and end dates, and stock symbol. Run the Code: Execute the script to fetch data, calculate indicators, generate signals, and visualize results.

[github-actions[bot]]

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[Walayhs]

Go ahead!