Concept to implement vbt pro indicators and strategies that can be used for both simulation and live trading

Fast BM25 search in Python, powered by Numpy and Numba

OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.

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

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

A Python rule engine powered by numba

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

A collection of John Ehlers technical analysis indicators / Filters written in pure go, with links to original papers

Financial Data Pattern Recognition Using Compression Techniques

📈 Adaptive: parallel active learning of mathematical functions

A Collection of public tutorials published in the qubitquants.pro blog

A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.13. You feed it your Python app, it does a lot of clever things, and spits out an executable or exte…

Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

talipp - incremental technical analysis library for python

Small package that helps to find support and resistance levels and plot them on chart

Recombinator is a Python package for statistical resampling in Python. It provides various algorithms for the iid bootstrap, the block bootstrap, as well as optimal block-length selection.

Hidden Markov Models in Python, with scikit-learn like API

Visualize large time series data with plotly.py

High-level tools to simplify visualization in Python.

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

tspdb: Time Series Predict DB

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

Vectorbt_Examples

Predictive Power Score (PPS) in Python

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Time Series Cross-Validation -- an extension for scikit-learn

Master repository for the pandas-ml modules

Advances in Financial Machine Learning

We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.