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

A guidance language for controlling large language models.

Collection of notebooks about quantitative finance, with interactive python code.

A scikit-learn compatible neural network library that wraps PyTorch

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Technical Analysis Library using Pandas and Numpy

Performance analysis of predictive (alpha) stock factors

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …

A Haskell kernel for the Jupyter project.

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Financial data reader

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SP…

Coursera Machine Learning - Python code

All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

A python library for time-series smoothing and outlier detection in a vectorized way.

Mostly experiments based on "Advances in financial machine learning" book

A clean book theme for scientific explanations and documentation with Sphinx

Python library for identifying the peaks and valleys of a time series.

Library for fitting the LPPLS model to data.

This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All reso…

Domain Specific Languages in Python

Samples code demonstrating how to use IbPy to extract information from Interactive Brokers API

Scanner that finds patterns in stocks/options/futures and discerns future risk/reward. Ie, money ball engine.

Limit Orderbook Replay/Analysis Library

import ReST (*.rst) includes into monolytic file, to be able to dispay it on Github and PyPi

Echo State Networks in Python, with Activations on the Hyper-Sphere, for DEAP based AutoML

Neural Network, Linear & Logistic Reression, Random Forests and more implementations. Examples and explanations.