DEX and cryptocurrency trading data for Python - OHCLV, Uniswap, others
Project description
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
-
Supports multiple blockchains like Ethereum mainnet, Binance Smart Chain and Polygon
-
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 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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for trading_strategy-0.13.13-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 899597705eea15f4e411bd2cf50a07b8352133cf69952999085c4a5e80ad5be9 |
|
| MD5 | 6671325e3fcef9b5a7c1055e05e0e03d |
|
| BLAKE2b-256 | 86d5551cec6cba11d9a185c74fc877d314dd179f7b62ec662bf6e35a9b0c2aa6 |
