DEX trading and blockchain quantitative finance data for Python

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  • License: Other/Proprietary License (AGPL)
  • Author: Mikko Ohtamaa
  • Tags algorithmic trading, ethereum, cryptocurrency, uniswap, quantitative finance, binance, blockchain, pancakeswap, polygon, web3
  • Requires: Python >=3.10, <4
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Project description

CI Status

pip installation works

Trading Strategy framework for Python

Trading Strategy framework is a Python framework for algorithmic trading on decentralised exchanges. It is using backtesting data and real-time price feeds from Trading Strategy Protocol.

Use cases

  • Analyse cryptocurrency investment opportunities on decentralised exchanges (DEXes)

  • Creating trading algorithms and trading bots that trade on DEXes

  • Deploy trading strategies as on-chain smart contracts where users can invest and withdraw with their wallets

Features

Getting started

See the Getting Started tutorial and the rest of the Trading Strategy documentation.

Prerequisites

  • Python 3.10

Installing the package

Note: Unless you are an experienced Python developer, try the Binder cloud hosted Jupyter notebook examples first.

You can install this package with

poetry:

poetry add trading-strategy -E direct-feed

pip:

pip install "trading-strategy[direct-feed]"

Documentation

Community

Read more documentation how to develop this package.

License

GNU AGPL 3.0.

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