[](https://github.com/tradingstrategy-ai/trade-executor/actions/workflows/test-and-build-image.yml)
# 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](https://tradingstrategy.ai/community).
## Features
- Only trading framework that has been built grounds up for [decentralised finance](https://tradingstrategy.ai/glossary/decentralised-finance)
- [High quality documentation](https://tradingstrategy.ai/docs/)
- Support [decentralised markets like Uniswap, PancakeSwap](https://tradingstrategy.ai/docs/overview/supported-markets.html)
- [Backtesting enginer](https://tradingstrategy.ai/docs/running/backtesting.html)
- [Live trading](https://tradingstrategy.ai/docs/running/live-trading.html)
- [Webhook web server](https://tradingstrategy.ai/docs/running/webhook.html) for JavaScript frontend and monitoring system integration
- Deploy as [Docker container](https://tradingstrategy.ai/docs/running/cli.html)
## Prerequisites
You need to know
- Basics of Python
- Basics of trading
- [We have collected learning material for developers new to algorithmic trading](https://tradingstrategy.ai/docs/learn/index.html)
## Getting started
First study the example code
- [Code examples](https://tradingstrategy.ai/docs/programming/code-examples/running.html)
- [Trading strategy examples](https://tradingstrategy.ai/docs/programming/code-examples/running.html)
- [See TradingView PineScript porting example](https://tradingstrategy.ai/blog/avalanche-summit-ii-workshop)
## More information
- [Read documentation on running and backtesting strategies](https://tradingstrategy.ai/docs/running/index.html)
- Visit [Trading Strategy website to learn about algorithmic trading on decentralised exchanges](https://tradingstrategy.ai)
- [Join the Discord for any questions](https://tradingstrategy.ai/community)
## Installation
**Note**: The project is under active development. We recommend any developers to use Github master branch
for installations.
```shell
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:
```shell
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](https://tradingstrategy.ai/docs/programming/development.html).
## Community
- [Trading Strategy website](https://tradingstrategy.ai)
- [Community Discord server](https://tradingstrategy.ai/community#discord)
- [Blog](https://tradingstrategy.ai/blog)
- [Twitter](https://twitter.com/TradingProtocol)
- [Telegram channel](https://t.me/trading_protocol)
- [Newsletter](https://tradingstrategy.ai/newsletter)
## License
- AGPL
- [Contact for the commercial dual licensing](https://tradingstrategy.ai/about)
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