Python Data Analysis Project

This project is set up with common data analysis and visualization libraries:

• pandas: For data manipulation and analysis
• numpy: For numerical computing
• matplotlib: For data visualization
• yfinance: For fetching financial data from Yahoo Finance

Setup

1. Create a virtual environment (recommended):

python -m venv venv
source venv/bin/activate

2. Install dependencies:

pip install -r requirements.txt

Project Structure

• src/: Contains the main Python scripts
  • ma_trading_strategy.py: Example script demonstrating stock data analysis
• data/: Directory for storing data files
• notebooks/: Jupyter notebooks for analysis
• requirements.txt: Project dependencies

Example Usage

Check out the example script in src/ma_trading_strategy.py for a demonstration of how to use these libraries together.

To run the updated code:

python src/ma_trading_strategy.py

The script will:

1. Create timestamped files in each directory
2. Print the location of each saved file
3. Show the plot
4. Display statistics

Each file is timestamped to:

• Keep historical data
• Prevent overwriting
• Track when the analysis was run

Would you like me to:

1. Show you how to read and analyze these saved files?
2. Add more types of data or calculations?
3. Modify the file formats or naming conventions?