⚡️ Lightning-fast backtesting engine to find your trading edge.

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

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

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.

A framework for financial systemic risk valuation and analysis.

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！

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.

OHLC,news,economic event restfull api and WebSocket API for specifically designed for AI quantitative trading/training.Multiple Timeframes,Multiple-Symbols-Multiple-Timeframes

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 boosted tree model.

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

😲🤑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📊 📈 📉

Framework for quantitative strategies development, backtesting and live execution.

extensive Python library for rock physics modelling

Open souce quantitative finance models and algorithms with tutorials

This repository contains the official implementation for the series of NAIP family.

Beginner friendly guide into the world of investing, quant data analysis and algorithmic trading.

Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Module 5 Project.