Setting up development environment#
This documentation section covers how to run Trading Strategy code examples and notebooks:
How to set up libraries and development environment on your local computer or a cloud server
If you are new to the Trading Strategy framework or algorithmic trading in general, please start by watching the recorded workshop tutorial session from Avalanche Summit.
Code examples are available able Jupyter notebooks in this documentation.
You to be able work with the examples you need to have
Basic Python programming language understanding
Basic Jupyter notebook understanding
To get started, you do not need to install any applications on your computer.
Recommended set up#
If you are not an advanced Python developer, and you do not have a preferred toolchain, we recommend you to start with Visual Studio Code Visual Studio Code Dev Container for Jupyter Notebooks.
Development environment options#
Check how to run examples and from the available code snippets:
How to get started#
After setting up your development environment, go to tutorials section of the documentation.
How to use Trading Strategy API
How to analyse DeFi market data
How to develop and backtest your own automated trading strategies
Getting an API key#
To get a Trading Strategy API key needed to access some of the datasets, please visit here.
Any notebook will prompt you to get and enter the API key if you do not have one yet
Some binaries like trade-executor docker will read the API key from TRADING_STRATEGY_API_KEY environment variable.