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

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

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

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.