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A library and examples to show how HGraph can be used for systematic trading.
This is a library of utilities and examples to highlight how HGraph can be used to implement systematic trading strategies.
See this for more information.
The project is currently configured to make use of Poetry for dependency management. Take a look at the website to see how best to install the tool.
Here are some useful commands:
First, this will cause the virtual environment to be installed in the same folder as the project (in .venv folder)
poetry config virtualenvs.in-project true
Use this command to set the version of Python to make use of if you want a specific version of Python.
poetry env use 3.12
Then use the following command to install the project and its dependencies. Note that the --with docs
installs
the dependencies to build the documentation set which is not required otherwise, also the --all-extras
is only
required for the adaptors.
poetry install --with docs --all-extras
If you did not use the first command, you can find the location of the installation using:
poetry env info
PyCharm can make use of poetry to setup
the project.
# No Coverage
poetry run pytest
# Generate Coverage Report
poetry run pytest --cov=your_package_name --cov-report=xml
FAQs
A library and examples to show how HGraph can be used for systematic trading.
We found that hg-systematic 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.
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