Stock Scanner & Screener: A yfinance-based Stock Scanner and Screener, focusing on Fundamental Properties of scanned stocks.

An ANFIS Model for Stock Price Prediction

A case study in betting on the S&P 500 using the Kelly criterion

Script that downloads intraday (past 5 days), daily (past 5 years) and active calls/puts of publicly traded companies.

Stock market recording

Finance stuff

A bunch of example machine learning projects with real world applications

Download and view the latest open options contracts from barchart.com within a specified strike price range.

The Streamlit App assesses the strength of stocks during downturn periods of the S&P 500 index. Users can enter one or multiple stock symbols, and the app fetches historical stock data to identify which stocks performed strongly on days when the market was generally declining.

This Python script automates the process of building an equal-weighted portfolio of S&P 500 stocks. It retrieves real-time data for each constituent stock, calculates the optimal number of shares to purchase based on portfolio value, and generates recommendations in an Excel file.