https://github.com/keon/deepstock

Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:
https://github.com/keon/deepstock

deep-learning stock stock-market technical-experimentations

Last synced: 6 days ago
JSON representation

Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

• Host: GitHub
• URL: https://github.com/keon/deepstock
• Owner: keon
• License: other
• Created: 2016-12-12T02:15:12.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-03-04T08:37:30.000Z (over 7 years ago)
• Last Synced: 2024-11-05T17:48:47.436Z (7 days ago)
• Topics: deep-learning, stock, stock-market, technical-experimentations
• Language: Python
• Homepage:
• Size: 42.9 MB
• Stars: 470
• Watchers: 54
• Forks: 156
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# DeepStock

Technical experimentations to beat the stock market using deep learning.

## Experimentations

1. Deep Learning Stock Prediction with Daily News Headline Analysis

    * An attempt to find the correlation between the daily news headlines and DJIA index.

    * More explained in [this slide](http://www.slideshare.net/KeonKim/stock-prediction-using-nlp-and-deep-learning)

2. Automated Trading Bot using Deep Learning

    * Predicting a company's stock price based only on the price history of the company.

    * Recurrent Neural Networks

    * Convolutional Neural Networks

    * Deep Q NetWorks

    * In-progress

3. Complex Analysis on Stock using Deep Learning

    * Take multiple features into account to predict the value of a company.

    * In-progress

4. Portfolio Management using Deep Learning

    * Planned

5. Macro Economics Analysis

    * Currency and Macro-Tracking-ETFs 

    * Planned