Algorithmic trading, token and cryptocurrency DEX trading data, for Uniswap, Aave, PancakeSwap, Sushi, Trader Joe, others

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  • License: Other/Proprietary License (AGPL)
  • Author: Mikko Ohtamaa
  • Tags algorithmic trading, ethereum, polygon, avalanche, aave, arbitrum, cryptocurrency, uniswap, quantitative finance, binance, blockchain, pancakeswap, polygon, web3
  • Requires: Python >=3.10, <3.11
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Project description

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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 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]"

Documentation

Community

Read more documentation how to develop this package.

License

GNU AGPL 3.0.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for miohtama from gravatar.com miohtama

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Other/Proprietary License (AGPL)
  • Author: Mikko Ohtamaa
  • Tags algorithmic trading, ethereum, polygon, avalanche, aave, arbitrum, cryptocurrency, uniswap, quantitative finance, binance, blockchain, pancakeswap, polygon, web3
  • Requires: Python >=3.10, <3.11
Classifiers

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0.24.4

0.24.3

0.24.2

0.24.1

0.24

0.23.1

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This version

0.17.1

0.17

0.16.1

0.16

0.15.2

0.15.1

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0.14.1

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0.11.1

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0.6.0

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