alisonmitchell/Stock-Prediction
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
This project helps investors and traders forecast stock market movements by analyzing historical price data and news sentiment. It takes in past stock prices and financial news articles, then uses various analytical models to generate predictions on whether a stock's price will go up or down, or what its future price might be. This is for individual investors, portfolio managers, or anyone interested in quantitative stock market analysis.
220 stars. No commits in the last 6 months.
Use this if you want to understand how technical indicators, time series analysis, and news sentiment can be combined to predict UK stock market trends.
Not ideal if you're looking for real-time trading signals or a tool that incorporates fundamental financial statement analysis.
Stars
220
Forks
43
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 21, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/alisonmitchell/Stock-Prediction"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
tradytics/surpriver
Find big moving stocks before they move using machine learning and anomaly detection
stocknear/frontend
UI of stocknear - Open Source Stock Analysis
devfinwiz/Fin-Maestro-Web
Find your trading, investing edge using the most advanced web app for technical and fundamental...
gandalf1819/Stock-Market-Sentiment-Analysis
Identification of trends in the stock prices of a company by performing fundamental analysis of...
ErikThiart/ai-stock-dashboard
🚀 Professional AI-powered stock market dashboard with real-time technical analysis, machine...