Metadata-Version: 2.1
Name: stocker
Version: 0.1.8
Summary: Stock Price Prediction
Home-page: https://github.com/jcamiloangarita/stocker
Author: jcamiloangarita
Author-email: camiloang94@gmail.com
License: UNKNOWN
Description: [![PyPI version](https://badge.fury.io/py/stocker.svg)](https://badge.fury.io/py/stocker)
        [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/jcamiloangarita/stocker/blob/master/LICENSE)
        [![Build Status](https://www.travis-ci.com/jcamiloangarita/stocker.svg?branch=master)](https://www.travis-ci.com/jcamiloangarita/stocker)
        [![Downloads](https://pepy.tech/badge/stocker)](https://pepy.tech/project/stocker)
        
        
        # 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]
        
Keywords: stock price prediction
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Natural Language :: English
Classifier: Topic :: Utilities
Description-Content-Type: text/markdown
