Metadata-Version: 1.2
Name: OctoBot-Evaluators
Version: 1.5.0
Summary: OctoBot project evaluators package
Home-page: https://github.com/Drakkar-Software/OctoBot-Evaluators
Author: Drakkar-Software
Author-email: drakkar-software@protonmail.com
License: LGPL-3.0
Description: # OctoBot-Evaluators [1.5.0](https://github.com/Drakkar-Software/OctoBot-Evaluators/blob/master/CHANGELOG.md)
        [![PyPI](https://img.shields.io/pypi/v/OctoBot-Evaluators.svg)](https://pypi.python.org/pypi/OctoBot-Evaluators/)
        [![Build Status](https://travis-ci.com/Drakkar-Software/OctoBot-Evaluators.svg?branch=master)](https://travis-ci.com/Drakkar-Software/OctoBot-Evaluators) 
        [![Build status](https://ci.appveyor.com/api/projects/status/p68n2y6547xhw0t6?svg=true)](https://ci.appveyor.com/project/Herklos/octobot-evaluators)
        
        # Where are evaluators and strategies ?
        
        Because OctoBot is modular, a wide range of evaluators and strategies are usable.
        
        Default evaluators and strategies are located here: [https://github.com/Drakkar-Software/OctoBot-Packages](https://github.com/Drakkar-Software/OctoBot-Packages).
        
        To install default evaluators and strategies in your OctoBot, run the following command: 
        
        ```bash
        python start.py -p install all
        ```
        
        
        It is also possible to specify which module(s) to install by naming it(them). In this case only the modules available in the available packages can be installed.
        ```
        python start.py -p install forum_evaluator john_smith_macd_evaluator advanced_twitter_evaluator
        ```
        
        **You can find how to create your OctoBot evaluators and strategies [here](https://github.com/Drakkar-Software/OctoBot/wiki/Customize-your-OctoBot).**
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Cython
Requires-Python: >=3.7
