Contributors

Research that pays on merit alone.

Contribute models to a live quantitative strategy. No titles, no gatekeepers — only measurable edge.

Why Become a Contributor

A place where research becomes capital.

01

Rewarded on performance.

Your compensation follows the live outcome of your models — not politics, not seniority.

02

Work on real markets.

Every submission is evaluated against live Indian equity data, round after round.

03

Join a research collective.

Independent contributors, one shared strategy. Sharpen your edge against the best.

Who Can Join

Talent has no résumé.

We care about the work, not the pedigree. If you can model markets — or want to learn — you belong here.

  • Data scientists exploring financial markets
  • Machine learning engineers curious about live systems
  • Quantitative researchers from any background
  • Software engineers who love clean signal from noisy data
  • Statisticians, mathematicians, physicists
  • Self-taught practitioners with real projects to show
Contribution Journey

A transparent path, end to end.

Six steps in a continuous loop. The details evolve — the shape stays clear.

  1. 01

    Discover

    Explore the platform and its research rounds.

  2. 02

    Build

    Engineer features. Train models. Iterate.

  3. 03

    Compete

    Submit each round for live evaluation.

  4. 04

    Improve

    Learn from feedback. Refine your edge.

  5. 05

    Contribute

    Your best signals join the collective.

  6. 06

    Grow

    Earn on performance. Grow with the fund.

Skills That Help

What tends to compound.

None of these are strict requirements. Many of the best contributors arrive missing several — and grow into them.

Machine Learning

Supervised, unsupervised, deep — the toolbox is open.

Python

Our lingua franca. NumPy, pandas, PyTorch, scikit-learn.

Feature Engineering

The craft of turning raw signals into intuition.

Statistics

Reasoning under uncertainty is the job.

Curiosity

The one skill that keeps the others sharp.

Discipline

Consistency beats brilliance across enough rounds.

Frequently Asked

A few things worth knowing.

No. Many contributors come from ML, physics, engineering, or research — not finance. The platform teaches the domain as you go.

More questions? Read the full FAQ.

Bring your models. Meet the market.

Create your account and start with the next research round.