Topics / #quant

Quant projects on GitHub

Quantitative finance and algorithmic trading toolkits

As of , the most-starred Quant projects on GitHub are OpenBB (74.4K stars), daily_stock_analysis (66.7K stars) and ai-hedge-fund (64.1K stars). GitHub.Locker tracks 32 Quant repositories with 704.9K stars combined. The fastest-growing on October 17 was daily_stock_analysis, with +178 stars in a day.

32Projects
704.9KStars in total
+918Stars in a day
Browse in the catalog →github.com/topics/quant ↗

Hot right now

Most stars gained in a day · Oct 17

+178

daily_stock_analysis

ZhuLinsen/daily_stock_analysis · ★ 66.7K

An AI-driven stock analysis system that pulls market data and news for A-share, Hong Kong, US, Japanese, Korean and Taiwanese stocks, then generates a daily AI decision report and pushes it to WeChat Work, Feishu, Telegram, Discord, Slack or email.

+96

Vibe-Trading

HKUDS/Vibe-Trading · ★ 35.9K

Vibe-Trading is a personal trading agent toolkit that gives an AI agent full trading capabilities in one command — market data, backtesting, a quant research library, and order execution across many brokers and markets.

+78

Kronos

shiyu-coder/Kronos · ★ 40.9K

Kronos is an open-source foundation model for financial candlestick (K-line) data, pretrained on data from over 45 global exchanges to produce price/volume forecasts.

+71

FinceptTerminal

Fincept-Corporation/FinceptTerminal · ★ 32.7K

Fincept Terminal is a free, open-source desktop finance terminal in the spirit of a Bloomberg terminal: institutional-grade market analytics, AI research agents and trading tools combined in one application.

The all-time top

32 projects · by stars

  1. #1 · openbq-org/OpenBB

    OpenBB

    Open Data Platform (ODP) by OpenBB is an open-source toolset that lets you integrate proprietary, licensed, and public financial data sources once and then consume them everywhere: in Python, Excel, OpenBB Workspace, AI agents via MCP, or REST APIs.

    74.4K
  2. #2 · ZhuLinsen/daily_stock_analysis

    daily_stock_analysis

    An AI-driven stock analysis system that pulls market data and news for A-share, Hong Kong, US, Japanese, Korean and Taiwanese stocks, then generates a daily AI decision report and pushes it to WeChat Work, Feishu, Telegram, Discord, Slack or email.

    66.7K
  3. #3 · virattt/ai-hedge-fund

    ai-hedge-fund

    An AI-powered hedge fund proof of concept that uses AI (LLM-driven 'alpha models') to make simulated trading decisions. It's explicitly for educational and research purposes, not real trading or investment.

    64.1K
  1. 4

    qlib

    49.5Kmicrosoft/qlib · Python

    Qlib is Microsoft's open-source, AI-oriented quantitative investment platform that covers the full quant research pipeline — data processing, model training, backtesting, and order execution — using supervised learning, market-dynamics modeling, and reinforcement learning.

  2. 5

    vnpy

    45.9Kvnpy/vnpy · Python

    VeighNa (vnpy) is an open-source Python framework for building quantitative trading systems, used by hedge funds, brokerages, and futures companies in China.

  3. 6

    Kronos

    40.9Kshiyu-coder/Kronos · Python

    Kronos is an open-source foundation model for financial candlestick (K-line) data, pretrained on data from over 45 global exchanges to produce price/volume forecasts.

  4. 7

    Vibe-Trading

    35.9KHKUDS/Vibe-Trading · Python

    Vibe-Trading is a personal trading agent toolkit that gives an AI agent full trading capabilities in one command — market data, backtesting, a quant research library, and order execution across many brokers and markets.

  5. 8

    FinceptTerminal

    32.7KFincept-Corporation/FinceptTerminal · C++

    Fincept Terminal is a free, open-source desktop finance terminal in the spirit of a Bloomberg terminal: institutional-grade market analytics, AI research agents and trading tools combined in one application.

  6. 9

    nautilus_trader

    30.3Knautechsystems/nautilus_trader · Rust

    A production-grade algorithmic trading engine: a Rust-native event-driven core driven from Python. Backtesting and live trading share the same architecture and execution semantics, so strategies go from research to production without a rewrite.

  7. 10

    awesome-quant

    30.2Kwilsonfreitas/awesome-quant · HTML

    A curated list of libraries, packages and resources for quants - people doing quantitative finance: pricing, trading, backtesting, risk and market data.

  8. 11

    backtrader

    23.5Kmementum/backtrader · Python

    backtrader is a Python library for backtesting trading strategies: you write a strategy as code, run it against historical market data and measure how it would have performed before risking real money.

  9. 12

    akshare

    23Kakfamily/akshare · Python

    AKShare is a free, open-source Python library that wraps a large set of financial data interfaces behind simple function calls - one line of code is enough to fetch a dataset.

  10. 13

    Lean

    22.1KQuantConnect/Lean · C#

    LEAN is QuantConnect's open-source, event-driven algorithmic trading engine, written in C# with Python support. You use it to build, backtest and live-trade strategies, with alternative data support out of the box.

  11. 14

    zipline

    20.1Kquantopian/zipline · Python

    Zipline is a Pythonic algorithmic trading library — an event-driven system for backtesting trading strategies written in Python. It is used in production as the backtesting and live-trading engine behind Quantopian.

  12. 15

    abu

    19Kbbfamily/abu · Python

    This is 'abu' (阿布量化), an open-source Python framework for building, backtesting and running quantitative trading strategies across US/A-share/HK stocks, futures, options and cryptocurrencies like Bitcoin, using machine learning to optimize the strategies.

  13. 16

    Qbot

    18.7KUFund-Me/Qbot · Jupyter Notebook

    Qbot is a free, AI-oriented quantitative investment research platform that covers the whole loop: data acquisition, strategy development, backtesting, simulated trading, and live trading.

  14. 17

    turbovec

    17.4KRyanCodrai/turbovec · Rust

    A vector index for nearest-neighbor search over embeddings, written in Rust with Python bindings. It is built on Google Research's TurboQuant quantization and aimed at RAG where memory, latency and privacy matter.

  15. 18

    RD-Agent

    15Kmicrosoft/RD-Agent · Python

    R&D-Agent is a Microsoft multi-agent framework that automates data-driven R&D: one agent proposes new research ideas and another implements them, applied to quant trading, data mining, Kaggle competitions, paper reproduction, and LLM fine-tuning.

  16. 19

    awesome-systematic-trading

    14.8Kpaperswithbacktest/awesome-systematic-trading · Python

    A curated list of resources for systematic (quantitative) trading: papers, libraries, packages, books, articles, videos, blogs and courses for finding, developing and running trading strategies.

  17. 20

    QuantDinger

    12.9KOpenByteInc/QuantDinger · Python

    QuantDinger is an open-source, self-hosted AI Trading OS: it lets you research trading ideas with AI, write Python strategies on a Strategy API, backtest them server-side, and run paper or live trading across crypto exchanges and traditional brokers, with web, mobile, API, and MCP access.

  18. 21

    QUANTAXIS

    11.3Kyutiansut/QUANTAXIS · Python

    QUANTAXIS is a local-first quantitative trading framework for China's stock, futures and options markets, covering data fetching, backtesting, paper trading, live trading, visualization and multi-account management, with support for distributed task scheduling.

  19. 22

    quant-trading

    11.1Kje-suis-tm/quant-trading · Python

    This is a Python repository of quantitative trading strategies — a collection of standalone scripts implementing technical indicators, pattern recognition, options strategies and statistical arbitrage for backtesting on historical market data.

  20. 23

    easytrader

    10.3Kshidenggui/easytrader · Python

    easytrader is a Python library for automating Chinese stock quant trading - it can drive the 同花顺 (THS) desktop client, use the official miniqmt quant API, rebalance or track 雪球 (Xueqiu) portfolios, and mirror joinquant/ricequant paper trading.

  21. 24

    tick-stock-panel

    6Kshy3130/tick-stock-panel · Python

    TSP is a self-hosted, zero-ops quantitative trading workbench for China's A-share stock market that combines stock screening, real-time anomaly monitoring, and strategy backtesting, with optional LLM-assisted analysis.

  22. 25

    skills

    3.7KAlphaGBM/skills · Python

    AlphaGBM Skills is a collection of 29 open-source Skills that bring real-time market research workflows for stocks, options, commodities and digital assets into AI tools like Claude Code and Cursor.

  23. 26

    PanWatch

    2.1KTNT-Likely/PanWatch · Python

    PanWatch (盯盘侠) is a self-hosted AI stock-monitoring assistant covering A-share, Hong Kong and US markets: portfolio tracking, real-time alerts and automated reports, with multi-agent analysis powered by the TradingAgents framework.

  24. 27

    easy-stock

    1.5Kjundizhou/easy-stock · Go

    easy-stock is an AI-native desktop research workbench for China's A-share market: it aggregates real-time quotes, sector/limit-up data and influencer commentary, then uses AI agents to produce stock analysis, portfolio inspections and after-market reviews for individual investors.

  25. 28

    bytex

    886BYTEX-TRADE/bytex · C#

    BYTEX is an open-source, event-driven algorithmic trading engine for .NET, written in C#. You write a trading strategy once and run the same code unchanged in backtesting, sandbox simulation, and live trading against real exchange accounts.

  26. 29

    astra-quant-agent

    3850xethanq/astra-quant-agent · Python

    R20 Quantum Trading System is an autonomous crypto trading agent that uses a committee of multiple LLMs (Claude, GPT-4o, DeepSeek, Gemini, etc.) to analyze the market and propose trades, while a separate deterministic Python layer enforces hard risk rules and executes orders on OKX.

  27. 30

    deepseek-harness-quant

    253yuanwang589-dev/deepseek-harness-quant · Python

    A natural-language-driven, low-frequency quantitative trading decision system for China's A-share market. It combines a subjective Pitch decision chain, a hardcoded factor engine, and strict data-based arbitration, with the AI forbidden from predicting individual stock moves.

  28. 31

    bytex

    240BYTEX-TRADE/bytex · C#

    BYTEX is an open-source, event-driven algorithmic trading engine for .NET written in C#. You write a trading strategy once and run the exact same code unchanged against historical data (backtest), live data with simulated fills (sandbox/paper), or real exchange accounts (live), with fixed-point money and adapters for major crypto exchanges.

  29. 32

    EvoQuant

    141CamusGIT/EvoQuant · Python

    EvoQuant is a self-evolving AI research agent built specifically for quantitative investment research, automating the full loop from digesting research reports to running real factor experiments on market data.

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