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trading-strategy
Algorithmic trading data for cryptocurrencies and DEXes like Uniswap, Aave and PancakeSwap
- Maintainers
- 1
Trading Strategy framework for Python
Trading Strategy framework is a Python framework for algorithmic trading on decentralised exchanges.
- Download decentralised finance market data sets
- Develop and backtest trading strategies in Jupyter Notebook
- Live trade execution for onchain trading
- Smart contract vault support for turning your trading strategy to a third-party investable vault
The trading-strategy library provides data fetching for backtesting and live trading.
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
-
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
-
Integration with Jupyter Notebook for easy manipulation of data. See example notebooks.
-
Write algorithmic trading strategies for decentralised exchange
Getting started
See the Getting Started repository and the rest of the Trading Strategy documentation.
Prerequisites
-
Python 3.10
-
Understanding Python package management and installation (unless using Dev Container from teh above)
Installing the package
You can install this package with
Poetry as a dependency:
poetry add trading-strategy -E direct-feed
Poetry, local development:
poetry install -E direct-feed
Pip:
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.
Documentation
Community
Read more documentation how to develop this package.
License
GNU AGPL 3.0.
FAQs
Algorithmic trading data for cryptocurrencies and DEXes like Uniswap, Aave and PancakeSwap
We found that trading-strategy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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