Popular GitHub Repositories for Stock Analysis

Find big moving stocks before they move using machine learning and anomaly detection

Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021

This program uses Vader SentimentIntensityAnalyzer to calculate the news headline overall sentiment for a stock

3rd Year University Undergraduate dissertation project, supervised by https://www.nottingham.ac.uk/computerscience/people/thomas.gaertner focusing on using Natural Language Processing, AI Portfolio Optimisation and Machine Learning to produce an Automated Trading Agent. Received 89% overall.

This project implements a time series multivariate analysis using RNN/LSTM for stock price predictions. A deep RNN model was created and trained on five years of historical Google stock price data to forecast the stock performance over a two-month period.

?Agent-based stock analysis and investment strategy application using ?AutoGen framework

Backtesting of trading strategies with machine learning.

Multi algorithm stock predictor built using Python and Streamlit

LSTM-ARIMA with attention mechanism and multiplicative decomposition for sophisticated stock forecasting.

Financial Forecasting and its correlation with Human Sentiments using Distributed Computing on Spark Framework

time-series change point detection for AI@UW stock prediction project

使用Deepseek-R1和Ollama分析股票

OpenAI Finance News Sentiment Analysis

An AI-driven platform integrating multimodal financial document processing, real-time news and market data aggregation, and a central trade simulation engine, delivering coherent, data-driven stock recommendations with minimal probabilistic errors.

This project uses the CrewAI framework to create a team of AI agents that attempt to analyze the recent news sentiment surrounding a specific publicly traded stock. The crew finds recent news articles, assesses the sentiment of each regarding the company, aggregates the findings, identifies key themes, and compiles a summary brief.