Algorithmic trading and quantitative financial analysis framework for decentralised exchanges and blockchains

Navigation

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, cryptocurrency, uniswap, quantitative finance, binance, blockchain, pancakeswap, polygon, web3
  • Requires: Python >=3.9, <3.11
Classifiers

Project description

CI Status

pip installation works

Trading Strategy logo

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

Example and getting started

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

Prerequisites

Python 3.9+

Installing the package

Note: Unless you are an experienced Python developer, the suggested usage of Trading Algorithm framework is using Google Colab hosted environments.

You can install this package with poetry or pip

poetry add trading-strategy

pip install trading-strategy

For QSTrader based trading algorithm support you need to install the related optional dependencies:

poetry add trading-strategy[qstrader]

Documentation

Read documentation online.

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, cryptocurrency, uniswap, quantitative finance, binance, blockchain, pancakeswap, polygon, web3
  • Requires: Python >=3.9, <3.11
Classifiers

Release history Release notifications | RSS feed

0.24.4

0.24.3

0.24.2

0.24.1

0.24

0.23.1

0.23

0.22.11

0.22.10

0.22.9

0.22.8

0.22.7

0.22.6

0.22.5

0.22.4

0.22.3

0.22.1

0.21.1

0.21

0.20.17

0.20.16

0.20.14

0.20.13

0.20.12

0.20.11

0.20.10

0.20.8

0.20.7

0.20.6

0.20.5

0.20.4

0.20.3

0.20.2

0.20.1

0.20

0.19

0.18.2

0.18.1

0.18

0.17.6

0.17.5

0.17.4

0.17.3

0.17.2

0.17.1

0.17

0.16.1

0.16

0.15.2

0.15.1

0.15

0.14.1

0.14

0.13.18

0.13.17

0.13.16

0.13.15

0.13.14

0.13.13

0.13.12

0.13.11

0.13.10

0.13.9

0.13.8

0.13.6

0.13.5

0.13.4

0.13.3

0.13.2

0.13.1

0.13

0.12.5

0.12.4

0.12.3

0.12.2

0.12.1

0.12

0.11.1

0.11

0.10.2

0.10.1

0.10.0

0.9.1

0.9.0

0.8.8

0.8.7

0.8.6

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.7.2

0.7.1

0.7

0.6.9

0.6.8

0.6.7

0.6.6

0.6.5

This version

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

trading-strategy-0.6.4.tar.gz (154.4 kB view hashes)

Uploaded Source

Built Distribution

trading_strategy-0.6.4-py3-none-any.whl (273.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page