Welcome to my repository for the project on Risk/Return analysis. Please explore the codebase!

“Money, if it does not bring you happiness, will at least help you be miserable in comfort.” – Helen Gurley Brown

This script evaluates four investment options for inclusion in a client’s portfolio. A fund’s investment potential is measured with respect to key risk-management metrics: the daily returns, standard deviations, Sharpe ratios, and betas.

This project leverages python 3.7 with the following packages:

• pandas - Library for fast manipulation with DataFrames, reading and writing csv files.

• pathlib - Instantiates a concrete path for the platform the code is running on.

• matplotlib - Library for visualizations in Python.

Before running the application first install the following dependencies.

  pip install pandas
  pip install pathlib
  pip install matplotlib

To use the crypto project simply clone the repository and run the code risk_return_analysis.ipynb in jupyter lab or in VS Code.

Brought to you by Katerina Gawthorpe.

MIT