snp500

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

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

Finance stuff

Automatically updated S&P 500 sector data scraped from us500.com, refreshed on weekdays via GitHub Actions.

A bunch of example machine learning projects with real world applications

a data-driven stock portfolio optimization strategy using historical price data and modern portfolio theory. It dynamically rebalances monthly to maximize the Sharpe ratio and is benchmarked against the SPY ETF for performance comparison.

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.

S&P 500 sectors dashboard built with Vite, TypeScript, Tailwind, and Chart.js, with data auto-updated via jsDelivr.

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.

Data Analysis of Bitcoin, S&P 500, Federal Interest Rate, Property Price Connection

🎣 Fishy Stocks – Because Your Goldfish is Smarter Than You