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The University of Waterloo quantitative analytics stocks club algorithmic trading repository.

Project description

Algorithmic Trading

The University of Waterloo quantitative analytics stocks club algorithmic trading repository.

Project Board: https://github.com/orgs/UWQSC/projects/1

Onboarding Information

Setup
  • After cloning the repository, run the following command
chmod +x ./setup.sh
./setup.sh
  • This sets up your:
    • Python virtual environment with your packages
    • GitHub hook for commit message regex.
Project Structure
  • src/: Main code
  • interfaces/: Abstract Interfaces, referenced by other repo
  • tests/: Unit Tests for src/

Other files and directories

  • bin: All important directory bash files go here
  • Makefile: Used to locally run unit tests, can be used for other functionalities as well
  • .github: Contains the GitHub Workflows that run on every push and pull request
  • .git: Contains GitHub Hooks for commit messages
Conventions and Rules to Follow
  • Every commit should be linked with at-least one issue. Hence, every commit should have the GitHub Issues that it belongs to. For example, if issue is #100, your commit should have topic/#100 mentioned in an independent line. Note that there is a checker.

Correct commit message

Writing Unit Test for black_litterman.py

topic/#100

- Code coverage 80%.

Incorrect commit message

Writing Unit Test for black_litterman.py
Writing Unit Test for black_litterman.py topic/#100
Writing Unit Test for black_litterman.py

topic/#100 - Code coverage 80%.
Writing Unit Test for black_litterman.py

topic/100 

- Code coverage 80%.
Writing Unit Test for black_litterman.py

#100 

- Code coverage 80%.
  • For convention’s sake, name your branches topic/<issue_number>. For example: Issue #100 should be worked on topic/100. There's no checker for branches though.
  • Try to make commits as descriptive as possible.
  • Changes to mainline can only be made through PRs. Please make the PR descriptions descriptive (preferably list of commit descriptions)
  • When a PR is ready to be reviewed, please add Ready for Review label from the Label section and then add algo-trading-team as reviewers.
  • When a PR is ready to be merged, please add Ready for Merge label from the Label section.
Running Unit Tests Locally
  • Running this command will run all the unit tests, with the source code being present at src/
make
Running GitHub Workflows Locally

This requires you to have Docker installed. Install Act from https://nektosact.com/introduction.html

A successful act run looks like:

> cd ~/<algorithmic-trading-root>
> act
...
[Pylint/build            ]     Success - Main Analysing the code with pylint
[Pylint/build            ]  Run Post Set up Python 3.9
[Pylint/build            ]   🐳  docker exec cmd=[/opt/acttoolcache/node/18.20.5/arm64/bin/node /var/run/act/actions/actions-setup-python@v3/dist/cache-save/index.js] user= workdir=
[Pylint/build            ]     Success - Post Set up Python 3.9
[Pylint/build            ] Cleaning up container for job build
[Pylint/build            ] 🏁  Job succeeded
>

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