Trade Executor: Algorithmic Trading Engine for DeFi

trade-executor is a Python framework for backtesting and live execution of algorithmic trading strategies on decentralised exchanges.

Note: This is early beta software. Please pop in to the Discord for any questions.

Features

• Only trading framework that has been built grounds up for decentralised finance
• High quality documentation
• Support decentralised markets like Uniswap, PancakeSwap
• Backtesting enginer
• Live trading
• Webhook web server for JavaScript frontend and monitoring system integration
• Deploy as Docker container

Prerequisites

You need to know

• Basics of Python
• Basics of trading
• We have collected learning material for developers new to algorithmic trading

Getting started

First study the example code

• Code examples
• Trading strategy examples
• See TradingView PineScript porting example

More information

• Read documentation on running and backtesting strategies
• Visit Trading Strategy website to learn about algorithmic trading on decentralised exchanges
• Join the Discord for any questions

Installation

Note: The project is under active development. We recommend any developers to use Github master branch for installations.

git clone git@github.com:tradingstrategy-ai/trade-executor.git
cd trade-executor
git submodule update --init --recursive

# Extra dependencies
# - execution: infrastructure to run live strategies
# - web-server: support webhook server of live strategy executors
# - qstrader: still needed to run legacy unit tests
poetry install -E web-server -E execution -E qstrader -E quantstats

Or with pip:

pip install -e ".[web-server,execution,qstrader,quantstats]" 

Architecture overview

Here is an example of a live trading deployment of a trade-executor package.

Running tests

See internal development documentation.

Community

• Trading Strategy website
• Community Discord server
• Blog
• Twitter
• Telegram channel
• Newsletter

License

• AGPL
• Contact for the commercial dual licensing