https://github.com/jcamiloangarita/stocker

Stock Price Prediction
https://github.com/jcamiloangarita/stocker

lstm machine-learning stock-price-prediction

Last synced: 5 months ago
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Stock Price Prediction

• Host: GitHub
• URL: https://github.com/jcamiloangarita/stocker
• Owner: jcamiloangarita
• License: mit
• Created: 2019-11-09T19:51:10.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2023-05-23T00:46:26.000Z (about 3 years ago)
• Last Synced: 2025-09-11T01:37:19.944Z (10 months ago)
• Topics: lstm, machine-learning, stock-price-prediction
• Language: Jupyter Notebook
• Homepage:
• Size: 39.1 KB
• Stars: 117
• Watchers: 6
• Forks: 52
• Open Issues: 14
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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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](https://github.com/jcamiloangarita)

* **Moses Maalidefaa Tantuoyir**

* **Anthony Ibeme** 

See the full list of [contributors](https://github.com/jcamiloangarita/stocker/graphs/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](https://pypi.python.org/pypi/stocker/) 

    * `pip install stocker`

* Developers: Source code from [github](https://github.com/jcamiloangarita/stocker)

    * `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]