OctoBot project evaluators package
Project description
# OctoBot-Evaluators [1.5.11](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/) [![Coverage Status](https://coveralls.io/repos/github/Drakkar-Software/OctoBot-Evaluators/badge.svg)](https://coveralls.io/github/Drakkar-Software/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://dev.azure.com/drakkarsoftware/OctoBot-Evaluators/_apis/build/status/Drakkar-Software.OctoBot-Evaluators?branchName=master)](https://dev.azure.com/drakkarsoftware/OctoBot-Evaluators/_build/latest?definitionId=5&branchName=master) [![Build Status](https://cloud.drone.io/api/badges/Drakkar-Software/OctoBot-Evaluators/status.svg)](https://cloud.drone.io/Drakkar-Software/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-Tentacles](https://github.com/Drakkar-Software/OctoBot-Tentacles).
To install default evaluators and strategies in your OctoBot, run the following command:
`bash python start.py tentacles --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 tentacles --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).
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Hashes for OctoBot-Evaluators-1.5.11.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | eaacd8ce6b7124dc21587ceed9dd8b2cbff683c8a77955a55390f72111be907a |
|
MD5 | 4bad926697f3cbc7d42dd3aa48a32105 |
|
BLAKE2b-256 | 25646e32d9821265bcdd6d9e44836cc469a06af8f2e3e7bdd5e77ffd53ace560 |
Hashes for OctoBot_Evaluators-1.5.11-py3.7-win-amd64.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | dbc55efef692fb323da99f0f26b6cae008133e0110b0cdb964f30ca9509c1dcc |
|
MD5 | fa7e8cabd614fcca50892e9f853fbd60 |
|
BLAKE2b-256 | f1185c99c0b7a9c61ea858d85c7a67f817f236a67d9d35f2e73a9b7136724e5c |
Hashes for OctoBot_Evaluators-1.5.11-py3.7-win32.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5393a67c0eddc1728ac33fad188af96f5e07fde2326db8f940dd0cfe4d11e16f |
|
MD5 | a61666accbb25279cc0d8b83d161f928 |
|
BLAKE2b-256 | 56b39b693f69a0326e6f83fbcf3b81741703be17344f134264ddc965768d8657 |
Hashes for OctoBot_Evaluators-1.5.11-py3.7-macosx-10.14-x86_64.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | c7232731f3826f47224221b3fa15778b32ff2189c28a3bbdbf8f4a5d349e776e |
|
MD5 | c3e708cf088401ddf6e879b9a1e5aded |
|
BLAKE2b-256 | e11f2b9283604a25233e8b04846c7968e1c2682206d23439e9a893869fedc88f |
Hashes for OctoBot_Evaluators-1.5.11-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 997f3aee0eaa398054633e6ce6f886be7f3c21d0b3b735cd323d20f5500ef3c3 |
|
MD5 | 97d6eaba581995981b6b1e89c3c480cd |
|
BLAKE2b-256 | ee84e1c078e0eaf12174146579ddb68646492232823616e501e3377eee8ad360 |
Hashes for OctoBot_Evaluators-1.5.11-cp37-cp37m-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e9389c70a8373a80676f995159dad52c07f122e564d47fd91acd848efbb56a09 |
|
MD5 | e53c97628802d9e02b181b21112da007 |
|
BLAKE2b-256 | b60e20885d8acdbe9751f570256831b97d6f7ff1636c7070dad31782518304b8 |
Hashes for OctoBot_Evaluators-1.5.11-cp37-cp37m-manylinux2014_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 62a948ebf582baf3be3354c60887f7d8c482cfd77bd54d37c023642186bacb95 |
|
MD5 | ae674d2479117952c57b9e4fef0b72a0 |
|
BLAKE2b-256 | 0b4051c106fa5f260960e0617226d1e7692154cac8021cd96d396908d4b0e7a6 |
Hashes for OctoBot_Evaluators-1.5.11-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 33605ee102c5be69814f2d4c8453af891bd3f68c59ded33104faa578053b2102 |
|
MD5 | 5e164faf99b6829048928043eb3a0c2d |
|
BLAKE2b-256 | 78e8866d52376e0cc2221648850dde24e257e5fb6fa2494ee5272d36a8fcf142 |
Hashes for OctoBot_Evaluators-1.5.11-cp37-cp37m-manylinux1_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ac73a823d7897d837d2ee15d3aa8e80f40eb00eac780887b8569467a5216a0d8 |
|
MD5 | 22a3fd290b47ef74d1e04c59266a4f23 |
|
BLAKE2b-256 | 78e49193780abf3642ee1a2876b529d86a6695f83c594b3c5500e9a6ad6ee417 |
Hashes for OctoBot_Evaluators-1.5.11-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 884d901716fa429f3de73068868250210f5cf279e5e2f603d7a88a60f5345816 |
|
MD5 | c902ffa2986c77bf1a725ee790956c67 |
|
BLAKE2b-256 | bd10173a9df70724e5a82b6a15742df1c837e52d4b67f12390161d45f1b2d71a |