Topics / #algorithmic-trading

Algorithmic-trading projects on GitHub

Automated trading strategies executed by algorithms

As of , the most-starred Algorithmic-trading projects on GitHub are TradingAgents (112K stars), ai-hedge-fund (64.1K stars) and freqtrade (55.6K stars). GitHub.Locker tracks 39 Algorithmic-trading repositories with 799.9K stars combined. The fastest-growing on October 18 was Kronos, with +317 stars in a day.

39Projects
799.9KStars in total
+1.4KStars in a day
Browse in the catalog →github.com/topics/algorithmic-trading ↗

Hot right now

Most stars gained in a day · Oct 18

+317

Kronos

shiyu-coder/Kronos · ★ 41.3K

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.

+193

TradingAgents

TauricResearch/TradingAgents · ★ 112K

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.

+155

tick-stock-panel

shy3130/tick-stock-panel · ★ 6.1K

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.

+110

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.

The all-time top

39 projects · by stars

  1. #1 · TauricResearch/TradingAgents

    TradingAgents

    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.

    112K
  2. #2 · 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
  3. #3 · freqtrade/freqtrade

    freqtrade

    Freqtrade is a free, open-source crypto trading bot written in Python that automates buying and selling across major exchanges, controllable via Telegram or a built-in web UI.

    55.6K
  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

    ccxt

    44.5Kccxt/ccxt · Python

    CCXT is a unified trading library that connects to 100+ cryptocurrency exchanges and prediction markets through a single API, available in JavaScript/TypeScript, Python, C#, PHP, Go, Java and Rust.

  3. 6

    Kronos

    41.3Kshiyu-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

    TradingAgents-CN

    32.3Khsliuping/TradingAgents-CN · Python

    TradingAgents-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.

  7. 10

    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.

  8. 11

    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.

  9. 12

    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.

  10. 13

    AI-Trader

    22.9KHKUDS/AI-Trader · Python

    AI-Trader is an agent-native trading platform where AI agents trade, publish signals, and learn from each other - and human traders can join alongside them.

  11. 14

    machine-learning-for-trading

    21.5Kstefan-jansen/machine-learning-for-trading · Jupyter Notebook

    The 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.

  12. 15

    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.

  13. 16

    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.

  14. 17

    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.

  15. 18

    FinRL

    16.7KAI4Finance-Foundation/FinRL · Jupyter Notebook

    FinRL 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.

  16. 19

    stock

    14.8Kmyhhub/stock · Python

    It 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.

  17. 20

    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.

  18. 21

    gs-quant

    13.2Kgoldmansachs/gs-quant · Python

    GS 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.

  19. 22

    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.

  20. 23

    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.

  21. 24

    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.

  22. 25

    valuecell

    11KValueCell-ai/valuecell · Python

    ValueCell is a community-driven, multi-agent platform for financial applications: a team of AI investment agents that helps you pick stocks, do research, track markets and even execute trades.

  23. 26

    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.

  24. 27

    gekko

    10.2Kaskmike/gekko · JavaScript

    Gekko is a Bitcoin trading and backtesting platform that connects to popular Bitcoin exchanges — a trading bot written in JavaScript that runs on Node.js.

  25. 28

    tick-stock-panel

    6.1Kshy3130/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.

  26. 29

    TradingView-API

    5.6KMathieu2301/TradingView-API · TypeScript

    A Node.js library that pulls real-time stock, crypto, and forex prices plus indicator values straight from TradingView, without needing an official API key.

  27. 30

    jev-trader

    3Kjarrodwatts/jev-trader · TypeScript

    An autonomous crypto trading bot for Monad: an AI model watches the Kuru MON-USDC order book and answers buy or sell every block (~300 ms), posting a post-only limit order each time.

  28. 31

    anti-gambling-trader-tw

    1.1Kmars-tw/anti-gambling-trader-tw · Python

    A 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.

  29. 32

    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.

  30. 33

    CNEquity

    689rootSunc/CNEquity · Python

    CNEquity is local data infrastructure for the Chinese A-share market: it organizes stock quotes, futures, fundamentals, corporate events and capital-flow data from multiple sources into a local Parquet data lake with incremental collection, resumable failures, quality audits and unified querying.

  31. 34

    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.

  32. 35

    beebots

    306imikerussell/beebots · TypeScript

    beebots runs three AI trading bees that race each other on OKX perpetual futures, with every decision made by a decision model called Jev and every order passing through a risk layer written in plain code. It starts in paper-trading mode using real prices but simulated money.

  33. 36

    deepseek-harness-quant

    257yuanwang589-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.

  34. 37

    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.

  35. 38

    pons-sniper-bot

    1640xhamssog/pons-sniper-bot · TypeScript

    A TypeScript CLI that watches the pons.family v2 token factory on Robinhood Chain, filters new launches, quotes the bonding curve, and can snipe-buy tokens with dry-run or live execution; it also bundles its own Pons v2 launch-and-buy tooling.

  36. 39

    pons-copy-trading-bot

    1600xhamssog/pons-copy-trading-bot · Python

    It is a Python bot that watches leader wallets on Robinhood Chain (chain id 4663) and automatically copies their pons.family token fills into your own wallet.

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