This project is to capitalize on simultaneous price dislocations in those markets by using the powers of Pandas: first sort through historical trade data for Bitcoin on two exchanges: Bitstamp and Coinbase, then apply the three phases of financial analysis to determine if any arbitrage opportunities exist for Bitcoin.
Python 3.7.10 pandas 1.3.3 Jupyter Notebook 6.4.0
Install Python by downloading the installer from the official website: https://www.python.org/downloads/ Open the command prompt and run the following command to install pandas: pip install pandas Install Jupyter Notebook by running the following command: pip install jupyterlab
Download or clone the repository to your local machine. Open Jupyter Notebook. Navigate to the folder where the repository was downloaded or cloned. Open the crypto_arbitrage.ipynb file. Run the code cells to perform the analysis.
- Demi Gao
This project is licensed under the MIT License. See the LICENSE file for details.