ALovettII / 3-challenge

Module 3 Challenge: Arbitrage

3_Challenge

Module 3 Challenge: Arbitrage:

For this project, we sorted through historical data for Bitcoin on two exchanges: Bitstamp ($BPI) and Coinbase ($COIN).

We then applied three phases of financial analysis to determine if arbitrage opportunies exist: 1.) Collecting the CSV data in a Juypter notebook file; 2.) Preparing the datasets for analysis by cleaning missing and erroneous data; 3.) A high-level analysis though summary statistics and visualizations; thus allowing for deeper analysis on three specific dates within the data.

Technologies

This project uses Python 3.7.11.

It uses the following packages:

• Pandas
• Path from Pathlib
• inline dependency from %Matplot

Usage

The project uses two datasets

1.) 'bitstamp.csv' Stock data for $BTI from January 1, 2018 through March 31st, 2018. 2.) 'coinbase.csv' Stock data for $COIN from January 1, 2018 through March 31st, 2018.

Contributors

Created by Arthur Lovett