Risk Return Analysis

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Risk Return Analysis

This project covers the use of python for financial analysis.

"Using Pandas for fun and Profit!"

Technologies

This project uses Python, Pandas Libraries, and CSV data files to contruct and analyse portfolio values.

pandas

Installation Guide

In order to use this program please import and utilize the following libraries and dependencies:

import pandas as pd
import numpy as np
from pathlib import Path
import matplotlib.pyplot as plt
%matplotlib inline

Usage

the following blocks of Pandas library are fundamental in executing the program.

pd.read_csv

This imports a CSV file.

pct_change().dropna()

This is needed for measuring the change in percentage

describe()

This is useful for getting summaries of the dataframe

plot(figsize=(00, 00), kind="", title="Title", grid=True)

This is a portion of code for a plot of returned data.

Contributors

Jeffrey J. Wiley Jr

License

MIT