150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing

A humble repository for academic quant strategies

All Algorithms implemented in Python

Code for Machine Learning for Algorithmic Trading, 2nd edition.

On this repository you'll find tools used for Quantitative Analysis and some examples such: MonteCarlo Simulations, Linear Regression, General Data Visualiztions, Time-Series Analysis, etc.

A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

Low Latency Interest Rate Markets – Theory, Pricing and Practice

Python toolkit for quantitative finance

QTPyLib, Pythonic Algorithmic Trading

Elo ratings for global black box derivative-free optimizers

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

Fast NumPy array functions written in C

Portfolio and risk analytics in Python

google stock price prediction using lstm

A python package for time series forecasting with scikit-learn estimators.

Predictive Power Score (PPS) in Python

Implementation of Modern Portfolio Theory and Black Litterman Model

Financial data platform for analysts, quants and AI agents.

Probabilistic Machine Learning: Advanced Topics

If you can measure it, consider it predicted

A modern, subsonic-supersonic, unstructured, aerodynamic panel code. We do linear aerodynamics for the twenty-first century.

Boom or Bust

Visualizations for machine learning datasets

Parametric shell half-wing model geometry creation and meshing in CGX, followed by CCX analysis, parametric design studies and optimisation using OpenMDAO

The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.