Popular GitHub Repositories for Sp500

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages -- ACL 2023

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.

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

S&P100 stocks analysis via Graph Neural Networks (Forecasting, Clustering, Trend classification, Stocks ranking for optimal stock picking)

An ANFIS Model for Stock Price Prediction

S&P500 Stock Index Movement Forecastor with various Statistical and Machine Learning Models

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

Forecasting S&P 500 returns using ML models across multiple time horizons (1-day, 1-week, 1-month). Includes feature engineering, rolling-window backtesting, and performance evaluation to assess predictive power and trading utility of each model.