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Ecosystem directory

GitHub Repositories for FX and Quantitative Finance

An index of public GitHub repositories across FX trading, macro research and quantitative finance. Browse by category or search by name, topic and language.

1,763 repositories · facts retrieved 2026-11-05

1,763 repositories

Page 8 of 36

A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)

Language
Python
Stars
526
Forks
124
Licence
MIT
Latest push
2024-11-14

Agent-driven alpha factory — LLM autonomously designs, backtests, and submits factors to WorldQuant BRAIN

Language
Python
Stars
507
Forks
131
Licence
MIT
Latest push
2026-11-01

Powered by NVIDIA cuOpt: a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling Mean-CVaR and Mean-Variance investment workflows with CUDA-X Data Science.

Language
Jupyter Notebook
Stars
503
Forks
119
Licence
Apache-2.0
Latest push
2026-11-05

A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine

Language
Elixir
Stars
498
Forks
83
Licence
MIT
Latest push
2024-12-07

High-performance technical analysis indicators and backtesting framework in TypeScript. Zero dependencies. ✨ See how! 👀

Language
TypeScript
Stars
481
Forks
73
Licence
MIT
Latest push
2026-10-18

📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports &…

Language
Python
Stars
480
Forks
107
Latest push
2024-02-27

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

Language
Jupyter Notebook
Stars
474
Forks
193
Licence
BSD-3-Clause
Latest push
2024-03-21

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

Language
Python
Stars
463
Forks
78
Licence
MIT
Latest push
2023-10-13

IBind is a REST and WebSocket client library for Interactive Brokers Client Portal Web API.

Language
Python
Stars
451
Forks
62
Licence
Apache-2.0
Latest push
2026-10-06

Technical indicators for cryptocurrencies, stocks and forex. To work with historical and real price data. One of the most efficient Javascript library implementations. The library has such…

Language
TypeScript
Stars
447
Forks
59
Latest push
2026-05-16

The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against…

Language
C++
Stars
440
Forks
52
Licence
AGPL-3.0
Latest push
2026-11-02

《人人都是量化交易员》配套练习仓库:量化交易入门、自学、Python 回测、spec 与 notebook 实验。

Language
Jupyter Notebook
Stars
438
Forks
112
Latest push
2026-09-01

FactorHub is an open-source modern quantitative factor analysis platform designed specifically for the Chinese A-share market. FactorHub = Factor + Hub A full-stack quantitative investment research…

Language
Python
Stars
433
Forks
124
Latest push
2026-07-12

End-to-end ensemble trading framework that trains, backtests, and promotes validated strategies to live execution.

Language
Python
Stars
427
Forks
137
Licence
MIT
Latest push
2026-08-06

Advanced Quantitative Factor Research: ML-powered stock return prediction with 72% performance improvement. Features comprehensive alpha factor library, systematic feature selection, and deep…

Language
Jupyter Notebook
Stars
422
Forks
62
Latest push
2025-08-22

OANDA REST-V20 API wrapper. Easy access to OANDA's REST v20 API with oandapyV20 package. Checkout the Jupyter notebooks!

Language
Python
Stars
416
Forks
105
Licence
MIT
Latest push
2023-12-11

Repository facts come from GitHub's public API and link to each project's own page. Figures are as GitHub reported them on 2026-11-05.

Repositories are selected by topic and activity on GitHub, with forks, duplicate copies and promotional projects left out. A listing is not an endorsement or a security review. Check a project's code, licence and maintainers before you use it. To correct or remove a listing, email info@fxmacrodata.com.