Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…

Signal processing examples in python

Start developing and backtesting your own automated trading strategies

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

Quantitative analysis, strategies and backtests

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

VisualHFT is a cutting-edge GUI platform for market analysis, focusing on real-time visualization of market microstructure. Built with WPF & C#, it displays key metrics like Limit Order Book dynami…

Empowering RAG with a memory-based data interface for all-purpose applications!

An AI Hedge Fund Team

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

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

Investment Research for Everyone, Everywhere.

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

Python training for business analysts and traders

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies

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

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

DX Analytics | Financial and Derivatives Analytics with Python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

A stock trading bot that uses machine learning to make price predictions.

Research in investment finance with Python Notebooks

ML Application of Algorithmic Trading

Variational Quantum Circuit Simulator for Quantum Computation Research

The QuantLib C++ library

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

A Julia interface to the NLopt nonlinear-optimization library