CRNG

MITPythonv0.4.0

Generates random numbers with realistic financial market properties like fat tails and volatility clustering for simulations and research.

GitHub

8 stars0 forks0 contributors

Overview

Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence

Related Projects

Community-curated · Updated weekly · 100% open source

Found a gem we're missing?

Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.

Submit a project Star on GitHub

Last commit

3 months ago

CreatedSince 2026

Built With

Included in

AI in Finance5.6k

Auto-fetched 34 minutes ago

TensorTrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

Stars6,542

Forks1,256

Last commit4 months ago

pyfolio

Portfolio and risk analytics in Python

Stars6,366

Forks1,887

Last commit2 years ago

zvt

modular quant framework.

Stars4,225

Forks999

Last commit12 days ago

WFGY

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

Stars1,766

Forks162

Last commit1 day ago