Correlation is a measure of how two variables change together and how strongly they are related. It can help you understand the patterns and relationships in your data and make predictions based on ...

The Discrete Correlation Function (DCF) was developed by Edelson and Krolik, 1988, ApJ, 333, 646 for use on unevenly sampled and/or gapped data. Traditional timing analysis, ie: CCF, requires that a ...

This Python project, implemented in a Jupyter Notebook, is "Part 2" of a financial market data analysis toolkit. This part focuses on analyzing the relationships between multiple stocks by: The ...