Using pandas for Stock Price Analysis

Video tutorial demonstrating quantitative data analysis and transformation using the Python programming language. Analyisis is the starting point for developing trading algorithms. This is a follow-on video for using pandas rolling method for moving averages and rolling statistics.

You may also be interested in using Python to create a stock correlation matrix.

Python pandas topics

• Calculate Moving Averages
• Calculate expected change
• Calculate magnitude of change (actual vs. expected)
• Create histogram of price change
• Create scatter plot to visualize actual change vs. magnitude
• Forecast price to confirm random walk phenomenon

You can download the jupyter notebook used here and try it out on your own.