Topics / #forex

Forex projects on GitHub

Algorithmic trading platforms and data tools for foreign exchange markets.

As of , the most-starred Forex projects on GitHub are Vibe-Trading (35.7K stars), nautilus_trader (30.3K stars) and Lean (22.1K stars). GitHub.Locker tracks 7 Forex repositories with 126K stars combined. The fastest-growing on October 17 was Vibe-Trading, with +96 stars in a day.

7Projects
126KStars in total
+244Stars in a day
Browse in the catalog →github.com/topics/forex ↗

Hot right now

Most stars gained in a day · Oct 17

+96

Vibe-Trading

HKUDS/Vibe-Trading · ★ 35.7K

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.

+65

nautilus_trader

nautechsystems/nautilus_trader · ★ 30.3K

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.

+29

Lean

QuantConnect/Lean · ★ 22.1K

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.

+29

QuantDinger

OpenByteInc/QuantDinger · ★ 12.9K

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.

The all-time top

7 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 · 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
  3. #3 · QuantConnect/Lean

    Lean

    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.

    22.1K
  1. 4

    nofx

    13.1KNoFxAiOS/nofx · Go

    NOFX is an open-source, self-hosted AI trading terminal where a language model acts as the trading strategy, automatically trading crypto, US stocks, commodities and forex while a Go runtime enforces hard risk limits the model cannot override.

  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

    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.

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