Skip to content

milosjava/pocketsizefund

Β 
Β 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

792 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

pocketsizefund

Open source quantitative trading 🍊

Discord Coverage Status Python checks Rust checks

About

Pocket Size Fund is an open source quantitative trading firm being built on nights and weekends.

This repository holds the main resources for the fund platform including data pipelines, model definitions, trading engine, and frontend resources.

The project is actively a work-in-progress.

Project

Motto

Make money and learn things πŸ’‘

Accountability for these goals is enforced by:

  1. Publishing performance on a regular, automated basis
  2. Writing whitepapers for every significant initiative

Process

Our process is:

create -> launch
   ^         |
   |         v
learn  <-  measure

We want to rapidly iterate our research-first mindset by constantly launching with an MVP implementations for every initiative.

Setup

Run the commands below in your terminal to get started. We're always a work in progress so if something breaks or is confusing open a pull request to raise it with the team and get your hands dirty.

We're never done and that's a good thing.

curl https://mise.run | sh
mise install -y
mise tasks ls

Principles

An unordered and non-exhaustive list of principles we work towards:

Test in production
Always roll forward
Systems over process
No code is good code
Never write documentation
Git is truth
We only measure ROI

Links

Here are some places to get started:

  1. Our current list of tasks that we're currently working on
  2. Open a discussion to ask questions or share ideas
  3. Send a direct message on everything else

About

Open source quantitative trading 🍊

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

  • Python 56.5%
  • Rust 24.2%
  • Shell 8.4%
  • Go 7.4%
  • Dockerfile 2.1%
  • HTML 1.4%