Simple script to compare the correlation on assets beetween S&P500 and FED Asset Balance.

Web Application to sort, analyze, & render data for all SP500 companies.

A project featuring exploratory data analysis (EDA) and machine learning applications for S&P 500 stock data, utilizing Python and relevant libraries.

This project showcases a web application that is designed to perform CAPM calculations for different stocks. The application uses Python programming language and its libraries such as Pandas, NumPy, Streamlit and Plotly, to gather stock data from Yahoo Finance and perform calculations to determine expected returns.

This repository contains a small project where I study feasibility of using knockoff filters in portfolio management. More details are included in the Wiki page

This system is designed to provide valuable insights into future market movements, enabling users to make informed decisions regarding their investments without directly executing trades. It leverages the VIX (CBOE Volatility Index) as a key indicator for predicting trends, in the SPY (S&P 500 ETF) market.

SP500 stock screener correlating to percent change during time periods.

Python Repository to ingest, feature engineer, train, backtest, and run a random forest model to predict the direction of the S&P500 at the start of the next day's trading session.

The app to know next day's yield prediction

Applied Basic Machine Learning on List of S&P 500 Companies using Yahoo Finance

Natural Language Processing on Stocks' Earnings Call Transcripts: An Investment Strategy Backtest Based on S&P Global Papers.