The Project is related to Regression and Technical Analysis of Stock Market, The link to project report:

This project aims to analyze various portfolios based on volatility, returns, risk, and Sharpe Ratio using Python and Pandas concepts.

This project is a basic look into using R Programming to work on stocks.

Evaluating four new investment options for inclusion in client portfolios. This program helps determine the fund with the most investment potential based on key risk-management metrics: the daily returns, standard deviations, Sharpe ratios, and betas.