This project uses Jupyter lab and pandas to analyze historical Bitcoin price data and look for arbitrage opportunities.
This code was written on Windows 11 running python 3.7.13. It also uses Pandas (Version 1.3.5) and Jupyterlab (Version 3.3.2)
Both Pandas and Jupyterlab can be installed using the pip install function.
This was a project to investigate historical Bitcoin arbitrage opportunites from Bitstamp and Coinbase. While it is possible to replace the csv files with your own to investigate other exchanges, adding a third would require adding additional functionality. If you want to edit the dates that are being used in the notebook, simply change these date locations
.loc['2018-01-15']
To a month or day included in the dataset that you would like to see. Here is an example plot from the notebook. Note the .loc date selection.
Garrett Hernandez -gtkhhz@gmail.com
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