The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

Portfolio analytics for quants, written in Python

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

GPU-accelerated Factors analysis library and Backtester

An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.

量化投资

A collection of methods for solving Finance/Accounting equations, implemented in C#.

A dockerized Jupyter quant research environment.

📚 🐣 软件实践文集。主题不限，思考讨论有趣有料就好，包含如 系统的模型分析/量化分析、开源漫游者指南、软件可靠性设计实践、平台产品的逻辑与执行… 🥤

Repository for YouTube tutorial on how to run MetaTrader5 + VNC + Python Flask API in a Docker Container on a Linux server.

本仓库为公众号FinHack炼金术《从零开始卷量化》系列文章示例代码，带你零基础入门量化交易！

A framework for financial systemic risk valuation and analysis.

Open source crypto trading platform to automate trading strategies.

This repository contains the customized trading algorithms that I have created using the Quantopian IDE.

Vanilla option pricing and visualisation using Black-Scholes model in pure Python