Gwill / stocker

Stock Price Prediction

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STOCKER

Stocker is a python tool that uses ANN to predict the stock's close price for the next business day. Suggestions and contributions of all kinds are very welcome.

Authors

  • Juan Camilo Gonzalez Angarita - jcamiloangarita
  • Moses Maalidefaa Tantuoyir
  • Anthony Ibeme

See the full list of contributors involved in this project.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Get pwptemp

  • Users: Wheels for Python from PyPI
    • pip install stocker
  • Developers: Source code from github
    • git clone https://github.com/jcamiloangarita/stocker

Quick use

>>> import stocker
>>> stocker.predict.tomorrow('AAPL')
[266.07, 1.276, '2019-11-11']

Notice that output = [predicted price, error(%), date of the next business day]

About

Stock Price Prediction

License:MIT License


Languages

Language:Jupyter Notebook 60.0%Language:Python 40.0%