achillesrasquinha/bulbea
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
This project helps financial analysts and traders predict stock market movements using historical price data and social media sentiment. It takes stock tickers and optional Twitter credentials as input, then outputs price predictions and a sentiment score for a given stock, visualized in a chart. This is for individual investors or small trading desks looking to leverage deep learning for better trading decisions.
2,263 stars. No commits in the last 6 months.
Use this if you want to forecast stock prices and understand market sentiment for specific stocks using deep learning models.
Not ideal if you're looking for real-time, high-frequency trading signals or a fully automated trading system.
Stars
2,263
Forks
485
Language
Python
License
—
Category
Last pushed
Jan 17, 2021
Commits (30d)
0
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