yuriak/DLQuant
Applying Deep Learning and NLP in Quantitative Trading
This project helps quantitative traders and financial analysts predict stock price movements by analyzing financial news. It takes in daily stock data and news articles from sources like Sina, Open-Europe, and Reuters, then applies deep learning to predict the direction of the next day's stock return. This is designed for professionals looking to integrate natural language processing into their trading strategies.
112 stars. No commits in the last 6 months.
Use this if you are a quantitative trader or analyst who wants to experiment with using financial news and deep learning to predict stock price direction.
Not ideal if you need a fully maintained, production-ready system for live trading, as much of the code predates 2018 and is no longer actively developed.
Stars
112
Forks
39
Language
Jupyter Notebook
License
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Category
Last pushed
Jan 31, 2019
Commits (30d)
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