muaythailegz/modue_four_worknfinal

This Repo will contain the work during, on and final version of my module 4 time frame

Module 4 Project Folder

**This contains all the work I have done on this Module 4 final

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Technologies

print("We're heading to Jupyter!")

*Built using Python 3.7.9 64-bi(On Jupyter Lab)

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I Have been tasked with evaluating four new investment options for inclusion in the client portfolios. Legendary fund and hedge-fund managers run all four selections. To determine the fund with the most investment potential based on key risk-management metrics: the daily returns, standard deviations, Sharpe ratios, and betas.

Installation Guide and Examples

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


nav_data_df = pd.read_csv(
    Path("./Resources/whale_navs.csv"), 
    index_col="date", 
    parse_dates=True, 
    infer_datetime_format=True
)

*Single line DataFrame and Path

Contributors

** This Loan Qualifier app was cntributed to by the entire UC Berkeley FinTech BootCamp UC Berkeley Extension