https://github.com/OptimalPandemic/taurus

A cryptocurrency trading bot.
https://github.com/OptimalPandemic/taurus

bot ccxt ccxt-php cryptocurrency cryptocurrency-trading-bot trading trading-bot

Last synced: 26 days ago
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A cryptocurrency trading bot.

• Host: GitHub
• URL: https://github.com/OptimalPandemic/taurus
• Owner: OptimalPandemic
• Created: 2018-01-12T20:38:52.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2019-07-16T21:34:47.000Z (over 5 years ago)
• Last Synced: 2024-08-03T13:02:14.895Z (4 months ago)
• Topics: bot, ccxt, ccxt-php, cryptocurrency, cryptocurrency-trading-bot, trading, trading-bot
• Language: Python
• Size: 79.1 KB
• Stars: 48
• Watchers: 12
• Forks: 14
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-ccxt - Taurus - A cryptocurrency trading platform using deep reinforcement learning. (AI)

README

        
# Taurus

A cryptocurrency trading platform using deep reinforcement learning.

## Structure

Taurus is based on several microservices in a monorepo:

* The deep learning model that turns price data into trade decisions (/navigator)

* The trading system that executes and tracks trades (/trader)

* The data collection service that feeds data into the ML model (/collector)

* The web application for user control and monitoring (/web)

The microservices communicate via gRPC (https://grpc.io). The current version only supports being run on a single server, so no key exchange occurs between APIs.

## Prerequisites

This application requires Python 3.7+, protoc/protobuf, gRPC, Docker and Docker Compose to build.

## Usage

TBD

## Under Development

* RPC/messaging interfaces

* Data collection logic

* Trading logic

* Machine learning model & training

* Web interface

* Logging

## Credits

The reinforcement learning model for this project is based on a graduate paper from Zhengyao Jiang, Dixing Xu, and Jinjun Liang of Xi'an Jiaotong-Liverpool University in Suzhou, China.

https://arxiv.org/abs/1706.10059

This project uses the CCXT library (https://github.com/ccxt/ccxt) to interact with exchanges for data collection and trading.