Topics / #trading-platform

Trading-platform projects on GitHub

Algorithmic trading platforms and backtesting engines.

As of , the most-starred Trading-platform projects on GitHub are Vibe-Trading (35.7K stars), FinceptTerminal (32.6K stars) and nautilus_trader (30.3K stars). GitHub.Locker tracks 9 Trading-platform repositories with 145.9K stars combined. The fastest-growing on October 17 was Vibe-Trading, with +96 stars in a day.

9Projects
145.9KStars in total
+324Stars in a day

Hot right now

Most stars gained in a day · Oct 17

The all-time top

9 projects · by stars

  1. #1 · HKUDS/Vibe-Trading

    Vibe-Trading

    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.

    35.7K
  2. #2 · Fincept-Corporation/FinceptTerminal

    FinceptTerminal

    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.

    32.6K
  3. #3 · nautechsystems/nautilus_trader

    nautilus_trader

    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.

    30.3K
  1. 4

    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.

  2. 5

    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.

  3. 6

    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.

  4. 7

    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.

  5. 8

    beebots

    301imikerussell/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.

  6. 9

    bytex

    225BYTEX-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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