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quantitative-analysis
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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
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
A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone
GPU-accelerated Factors analysis library and Backtester
An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
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… 🥤
A dockerized Jupyter quant research environment.
A framework for financial systemic risk valuation and analysis.
Open source crypto trading platform to automate trading strategies.
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.
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 software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.