louisowen6/SENN
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"
This project helps financial analysts and traders predict stock market movements by combining historical stock prices with public sentiment from social media. It takes in historical stock data for a given ticker and relevant microblog text data, and outputs predictions of future stock prices. It's designed for anyone involved in financial forecasting or trading who wants to leverage social sentiment alongside traditional market data.
No commits in the last 6 months.
Use this if you want to enhance your stock price predictions by integrating sentiment analysis from social media alongside historical market data.
Not ideal if you're looking for real-time trading signals or a fully automated trading system, as this project focuses on prediction methodology rather than live execution.
Stars
77
Forks
33
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 07, 2020
Commits (30d)
0
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