Topics / #algorithmic-trading-engine

Algorithmic-trading-engine projects on GitHub

Engines for backtesting and executing automated trading strategies.

As of , the most-starred Algorithmic-trading-engine projects on GitHub are nautilus_trader (30.3K stars), awesome-quant (30.2K stars) and Lean (22.1K stars). GitHub.Locker tracks 5 Algorithmic-trading-engine repositories with 104.5K stars combined. The fastest-growing on October 16 was nautilus_trader, with +104 stars in a day.

5Projects
104.5KStars in total
+230Stars in a day
Browse in the catalog →github.com/topics/algorithmic-trading-engine ↗

Hot right now

Most stars gained in a day · Oct 16

+104

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.

+67

awesome-quant

wilsonfreitas/awesome-quant · ★ 30.2K

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

+29

quant-trading

je-suis-tm/quant-trading · ★ 11.1K

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.

+23

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.

The all-time top

5 projects · by stars

  1. #1 · 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
  2. #2 · wilsonfreitas/awesome-quant

    awesome-quant

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

    30.2K
  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

    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.

  2. 5

    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.

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