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

A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.

Open Source algo trading platform

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

supertrend bot using python, pandas, and ccxt

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

Backtest and live trading in Python

Tutorials and programming exercises for learning Q# and quantum computing

Qiskit Textbook (beta)

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Grammar-guided genetic programming (G3P) methods: CFG-GP, GE, piGE, DSGE, WHGE

Video+code lecture on building nanoGPT from scratch

Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

Cybernetically enhanced web apps

🤖Self-Modifying Framework from the Future 🔮 World's First AMS

Write responsive web apps in full python

🕸️ Web apps in pure Python 🐍

Turns Data and AI algorithms into production-ready web applications in no time.

A curated list of awesome Python Web Frameworks (micro, full-stack, REST, etc.)

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

Python library for portfolio optimization built on top of scikit-learn

Portfolio optimization and back-testing.

A vectorized implementation of py_vollib, that supports numpy arrays and pandas Series and DataFrames.

PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

ARCH models in Python