Awesome Quant

TradingAgents: Multi-Agents LLM Financial Trading Framework

Open Data Platform for analysts, quants and AI agents.

Free, open source crypto trading bot

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

基于Python的开源量化交易平台开发框架

A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust

Extremely fast Query Engine for DataFrames, written in Rust

"Vibe-Trading: Your Personal Trading Agent"

The fundamental package for scientific computing with Python.

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

Production-grade Rust-native trading engine with deterministic event-driven architecture

Download market data from Yahoo! Finance's API

Python Backtesting library for trading strategies

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Zipline, a Pythonic Algorithmic Trading Library

FinRL®: Financial Reinforcement Learning. 🔥

SciPy library main repository

A computer algebra system written in pure Python

Python training for business analysts and traders

Python toolkit for quantitative finance

Python wrapper for TA-Lib (http://ta-lib.org/).

Statsmodels: statistical modeling and econometrics in Python

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

Bayesian Modeling and Probabilistic Programming in Python

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Automatic extraction of relevant features from time series:

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

Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

An advanced crypto trading bot written in Python

Portfolio analytics for quants, written in Python

The QuantLib C++ library

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.

Portfolio and risk analytics in Python

Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

High-performance TensorFlow library for quantitative finance.

Probabilistic time series modeling in Python

Technical Analysis Library using Pandas and Numpy

Visualizer for pandas data structures

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

A python wrapper for Alpha Vantage API for financial data.

Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit

Python Algorithmic Trading Library

Portfolio Optimization in Python