Popular GitHub Repositories for Snp500

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.

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.

A Diffusion Model which can reliably generate whole human SNP(Single Nucleotide Polymorphism) data.

Explore the GPT-500 repository for 20 hand-picked stocks, performance charts, and a ChatGPT agent refining financial insights. :octocat: :chart_with_upwards_trend:

Series of simple algorithmic trading experiments implemented in Python. Starting with basic strategies (Golden Cross, etc.) on SPY for educational purposes. I'm a beginner in Python and using this repo to learn and share progress.

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.

StableStockPredictor is a robust deep learning model for predicting S&P 500 stock prices, built with TensorFlow and Keras. It leverages LSTM networks with gradient clipping, robust scaling, and stable feature engineering (e.g., RSI, moving averages, volatility) to ensure reliable performance in volatile markets.

Create an AI assistant that eliminates the back-and-forth of meeting coordination by autonomously scheduling, rescheduling, and optimizing calendars.