Portfolio analytics for quants, written in Python

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

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

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

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.

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

📚 🐣 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… 🥤

量化投资

A framework for systemic risk valuation and analysis.

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

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

Automated, open source crypto trading and backtesting platform

A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.

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！

This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in China Securities Index 800 Index through the machine method. The investment system pipeline has been implemented including data acquirement, data preprocessing, model tuning and selection based on the XGBoost boos…

A dockerized Jupyter quant research environment.

😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to evaluate a Stock's Value📊 📈 📉