Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics and many other (ex-post) risk/return characteristics both on an individual stock and portfolio-basis, stand-alone and vs. a benchmark of choice (constructed with wxPython)

Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.

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

Data scraping approach - storing S&P 500 data (both historical and real-time) for intervals 1-minute, 5-minute, 30-minute and Daily; and update it periodically. Data is via Alpha Vantage API. The hopeful vision of this project is for the data fetched to be used for any related form(s) of Data Analysis

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.

To find out the true impact of tweets associated with a given company's ticker abbreviation on their daily stock trends, either positive or negative.

That tool extracts an average score of all stocks in the SP500 index from Yahoo Finance and produces the xlsx file with all the stocks' scores. The tool can be used so to quickly find the most ambitious stocks according to yahoo finance experts

S&P 500 Stock Dashboard

Projects, etc.