OctoBot project evaluators package
Project description
# OctoBot-Evaluators [1.5.1](https://github.com/Drakkar-Software/OctoBot-Evaluators/blob/master/CHANGELOG.md) [![Codacy Badge](https://api.codacy.com/project/badge/Grade/a0c08eab5d4c440aa6e3fc3061ad0520)](https://app.codacy.com/gh/Drakkar-Software/OctoBot-Evaluators?utm_source=github.com&utm_medium=referral&utm_content=Drakkar-Software/OctoBot-Evaluators&utm_campaign=Badge_Grade_Dashboard) [![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).
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