Stock Cross-Correlation Analysis using Alpaca's multi-bar historical data

Alpaca_Cross_Correlation_Analysis is a Python application that uses the Alpaca API to fetch historical stock data. It allows you to compute correlation matrices based on selected criteria and visualize these correlations with a heatmap and time-series plots. It is a versatile tool for exploring stock market data, particularly useful for financial analysts and traders interested in identifying correlations between different stocks.

The repository is located here:

git clone

Check out the various command-line arguments for sorting, number of trading days, colormaps, etc.

Best regards,

Joe O.