Portfolio analytics for quants, written in Python
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
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
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
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
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#.
量化投资
📚 🐣 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… 🥤
A dockerized Jupyter quant research environment.
A framework for financial systemic risk valuation and analysis.
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！
Vanilla option pricing and visualisation using Black-Scholes model in pure Python
Open source crypto trading platform to automate trading strategies.
This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
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