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.
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Analyse cryptocurrency investment opportunities on decentralised exchanges (DEXes)
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Creating trading algorithms and trading bots that trade on DEXes
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Deploy trading strategies as on-chain smart contracts where users can invest and withdraw with their wallets
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Supports multiple blockchains like Ethereum mainnet, Binance Smart Chain and Polygon
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Access trading data from on-chain decentralised exchanges like SushiSwap, QuickSwap and PancakeSwap
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Integration with Jupyter Notebook for easy manipulation of data. See example notebooks.
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Write algorithmic trading strategies for decentralised exchange
See the Getting Started tutorial and the rest of the Trading Strategy documentation. The easiest way to get started is ready Dev Container for Visual Studio Code.
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Python 3.10
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Understanding Python package management and installation (unless using Dev Container from teh above)
You can install this package with
Poetry as a dependency:
poetry add trading-strategy -E direct-feedPoetry, local development:
poetry install -E direct-feedPip:
pip install "trading-strategy[direct-feed]" Note: trading-strategy package provides trading data
download and management functionality only. If you want to developed
automated trading strategies you need to install trade-executor package as well.
Read more documentation how to develop this package.
GNU AGPL 3.0.