Topics / #quantitative-finance
Quantitative-finance projects on GitHub
Quant methods for markets: backtesting, factor models, and trading systems.
As of , the most-starred Quantitative-finance projects on GitHub are TradingAgents (111.6K stars), OpenBB (74.3K stars) and daily_stock_analysis (66.5K stars). GitHub.Locker tracks 51 Quantitative-finance repositories with 1M stars combined. The fastest-growing on October 16 was TradingAgents, with +155 stars in a day.
Hot right now
Most stars gained in a day · Oct 16
+155TradingAgents
TauricResearch/TradingAgents · ★ 111.6KTradingAgents is a multi-agent LLM framework that simulates a trading firm: specialized agents analyze fundamentals, sentiment, news, and technicals, bull/bear researchers debate the findings, and a trader plus risk/portfolio manager team decide whether to execute the trade.
+104nautilus_trader
nautechsystems/nautilus_trader · ★ 30.2KA 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.
+70CNEquity
rootSunc/CNEquity · ★ 571之后每天运行一次 cne run daily 保持更新。想要更长的历史,或了解 init 具体做了什么,见初始化指南。
+67awesome-quant
wilsonfreitas/awesome-quant · ★ 30.2KA curated list of libraries, packages and resources for quants - people doing quantitative finance: pricing, trading, backtesting, risk and market data.
The all-time top
51 projects · by stars
- 111.6K
#1 · TauricResearch/TradingAgentsTradingAgents
TradingAgents is a multi-agent LLM framework that simulates a trading firm: specialized agents analyze fundamentals, sentiment, news, and technicals, bull/bear researchers debate the findings, and a trader plus risk/portfolio manager team decide whether to execute the trade.
- 74.3K
#2 · 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.
- 66.5K
#3 · ZhuLinsen/daily_stock_analysisdaily_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.
- 4

ai-hedge-fund
64.1Kvirattt/ai-hedge-fund · PythonAn 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.
- 5

qlib
49.4Kmicrosoft/qlib · PythonQlib 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.
- 6

Summer2027-Internships
48KSimplifyJobs/Summer2027-Internships · PythonA community-maintained list of Summer 2027 tech internships across software engineering, data science/AI, quant, product management, and hardware, updated daily by Pitt CSC and Simplify.
- 7

Kronos
40.9Kshiyu-coder/Kronos · PythonKronos 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.
- 8

Vibe-Trading
35.7KHKUDS/Vibe-Trading · PythonVibe-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.
- 9

FinceptTerminal
32.6KFincept-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.
- 10

TradingAgents-CN
32.3Khsliuping/TradingAgents-CN · PythonTradingAgents-CN is a Chinese-enhanced learning and research platform built on a multi-agent LLM trading framework, helping Chinese-speaking users systematically study stock analysis using multiple AI agents for A-share, Hong Kong, and US markets. It explicitly does not issue real trading orders and is positioned for education and research only.
- 11

nautilus_trader
30.2Knautechsystems/nautilus_trader · RustA 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.
- 12

awesome-quant
30.2Kwilsonfreitas/awesome-quant · HTMLA curated list of libraries, packages and resources for quants - people doing quantitative finance: pricing, trading, backtesting, risk and market data.
- 13

backtrader
23.5Kmementum/backtrader · Pythonbacktrader 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.
- 14

akshare
23Kakfamily/akshare · PythonAKShare 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.
- 15
Lean
22KQuantConnect/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.
- 16

FinGPT
21.4KAI4Finance-Foundation/FinGPT · Jupyter NotebookFinGPT is AI4Finance Foundation's open-source project for financial large language models: trained models are released on HuggingFace, with code for RAG, fine-tuning pipelines and benchmarks built around them.
- 17

machine-learning-for-trading
21.4Kstefan-jansen/machine-learning-for-trading · Jupyter NotebookThe code repository for Machine Learning for Trading, 3rd Edition by Stefan Jansen: an end-to-end workflow for building, testing, and deploying ML-driven trading strategies, from data sourcing to live execution.
- 18
hummingbot
20.5Khummingbot/hummingbot · PythonAn open-source Python framework for building and deploying automated crypto trading bots across centralized and decentralized exchanges. Its users generated over $34 billion in volume across 140+ venues in the past year, and it is free under the Apache 2.0 license.
- 19

zipline
20.2Kquantopian/zipline · PythonZipline 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.
- 20

abu
18.9Kbbfamily/abu · PythonThis 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.
- 21

Qbot
18.7KUFund-Me/Qbot · Jupyter NotebookQbot is a free, AI-oriented quantitative investment research platform that covers the whole loop: data acquisition, strategy development, backtesting, simulated trading, and live trading.
- 22

New-Grad-Positions
18.2KSimplifyJobs/New-Grad-PositionsA curated list of full-time job openings for new college graduates, covering software engineering, quant, and product management roles at companies that are hiring.
- 23
questdb
17.4Kquestdb/questdb · JavaQuestDB is an open-source, low-latency time-series database on open formats: it ingests millions of events per second, computes on live data in milliseconds, and keeps years of history queryable through one SQL engine.
- 24

FinRL
16.7KAI4Finance-Foundation/FinRL · Jupyter NotebookFinRL is the original open-source framework for financial reinforcement learning, letting you train deep RL agents (A2C, DDPG, PPO, TD3, SAC) to trade stocks and other assets. It's built around a train-test-trade pipeline split into market environments, DRL agents, and financial applications.
- 25

tushare
15.5Kwaditu/tushare · PythonTuShare is a Python utility for crawling, cleaning and storing historical and realtime data for China's stock and futures markets, built for quant analysts and anyone learning data analysis.
- 26

RD-Agent
15Kmicrosoft/RD-Agent · PythonR&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.
- 27

stock
14.8Kmyhhub/stock · PythonIt is a Python-based A-share stock quant system that scrapes daily stock and ETF data, computes technical indicators and chip (cost) distribution, recognizes 61 K-line patterns, runs multi-factor stock screening and strategies, backtests them, and can place automated trades, all viewable from a web UI on PC or mobile.
- 28

awesome-systematic-trading
14.8Kpaperswithbacktest/awesome-systematic-trading · PythonA curated list of resources for systematic (quantitative) trading: papers, libraries, packages, books, articles, videos, blogs and courses for finding, developing and running trading strategies.
- 29

python-training
14.3Kjpmorganchase/python-training · Jupyter NotebookThis is a hands-on Python training course built by J.P. Morgan for business analysts, traders, and select institutional clients. It teaches numerical computing and data visualization in Python through a series of Jupyter notebooks rather than being a full computer-science curriculum.
- 30

gs-quant
13.2Kgoldmansachs/gs-quant · PythonGS Quant is a Python toolkit for quantitative finance built by Goldman Sachs quants on top of their risk transfer platform, used for derivative structuring, trading strategy development, and risk management.
- 31

QuantDinger
12.9KOpenByteInc/QuantDinger · PythonQuantDinger 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.
- 32

ta-lib-python
12.3KTA-Lib/ta-lib-python · CythonA Python wrapper around the TA-Lib C library for technical analysis of financial market data: 150+ indicators such as RSI, MACD and Bollinger Bands, plus candlestick pattern recognition.
- 33

QUANTAXIS
11.3Kyutiansut/QUANTAXIS · PythonQUANTAXIS 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.
- 34

quant-trading
11Kje-suis-tm/quant-trading · PythonThis 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.
- 35

a-stock-data
10.9Ksimonlin1212/a-stock-data · PythonIt is a self-contained Skill file that bundles raw A-share (Chinese stock market) data from more than two dozen sources into a ready-to-use tool set for AI coding assistants, covering K-lines, research reports, fund flow, news, financials, filings, limit-up boards, ETF options and macro data.
- 36

StockSharp
10.9KStockSharp/StockSharp · C#StockSharp (S#) is a free, open-source platform for trading on any market worldwide - crypto exchanges, stocks, futures, options, forex, and Bitcoin - supporting both manual and algorithmic trading, including high-frequency strategies.
- 37

UZI-Skill
7.3Kwbh604/UZI-Skill · PythonA free skill that turns your AI coding agent into a personal stock analyst: give it a ticker and it pulls 22 dimensions of data, runs 22 institutional methods (DCF, comps, LBO), lets 66 investor personas vote, and outputs a ~600KB Bloomberg-style HTML report in 5-8 minutes. Covers A-shares, Hong Kong and US stocks.
- 38

prediction-market-analysis
3.9KJon-Becker/prediction-market-analysis · PythonIt's a framework for collecting and analyzing prediction market data from Polymarket and Kalshi, bundled with the largest publicly available dataset of their market and trade history.
- 39

investing-for-beginners
3.8Kxuchonglang/investing-for-beginnersA free Chinese-language guide that builds a knowledge framework for beginners on US stocks, options, and cryptocurrency, written by one author (徐冲浪) rather than compiled from external sources.
- 40

skills
3.7KAlphaGBM/skills · PythonAlphaGBM 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.
- 41

easy-stock
1.5Kjundizhou/easy-stock · Goeasy-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.
- 42

ALTA
1.1Kkyky2347/ALTA · PythonALTA is a research-only multi-agent LLM trading platform that turns weak market signals into evidence-backed opportunities, debates them with independent agent roles, runs them through a separate risk audit, and only ever executes simulated or explicitly authorized paper trades.
- 43

anti-gambling-trader-tw
1.1Kmars-tw/anti-gambling-trader-tw · PythonA free, open-source Python tool that analyzes trading records (Taiwan stocks, US stocks, crypto, forex) to statistically test whether your profits are a repeatable edge or just luck plus survivorship bias, scans for scam language and fake performance claims, and can scaffold backtestable or paper-trading automation projects.
- 44

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.
- 45

fund-guy-skill
597wbh604/fund-guy-skill · HTMLA fund-manager behavior audit skill for AI agents: give it a Chinese mutual fund code and it pulls every buy/sell the manager made over 8 years, checks each trade against the real 12-month-later price action, and outputs a single 700KB interactive HTML report with candlestick battle replays, buy/sell autopsies, independence scoring and 'star manager' red-flag detection.
- 46

CNEquity
571rootSunc/CNEquity · Python之后每天运行一次 cne run daily 保持更新。想要更长的历史,或了解 init 具体做了什么,见初始化指南。
- 47
trade-journal
500LuxAlgo/trade-journal · TypeScriptTrade Journal is an open-source, self-hosted trading journal that turns broker syncs, statement imports, or manual entries into round-trip trades, a P&L calendar, deep analytics, and an AI-assisted daily journal.
- 48

ict-trading-model
314carreypro/ict-trading-model · PythonICT Trading Model is a Codex skill that combines multi-timeframe bias, liquidity mapping, premium/discount location, session context, displacement, market structure, and PD arrays into a strict ICT/SMC (Inner Circle Trader / Smart Money Concepts) setup-validation framework.
- 49

deepseek-harness-quant
248yuanwang589-dev/deepseek-harness-quant · PythonA 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.
- 50

openchart
238longsurf-ai/openchart · TypeScriptOpenChart is an open-source trading workspace that brings AI agents into charting, technical analysis, market alerts, and research, letting you use your own Claude, Codex, or Gemini models to analyze markets.
- 51

bytex
212BYTEX-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.
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