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.
Hot right now
Most stars gained in a day · Oct 17
Vibe-Trading
HKUDS/Vibe-Trading · ★ 35.7KVibe-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.
+71FinceptTerminal
Fincept-Corporation/FinceptTerminal · ★ 32.6KFincept 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.
+65nautilus_trader
nautechsystems/nautilus_trader · ★ 30.3KA 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.
Lean
QuantConnect/Lean · ★ 22.1KLEAN 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
9 projects · by stars
- 35.7K
#1 · HKUDS/Vibe-TradingVibe-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.
- 32.6K
#2 · Fincept-Corporation/FinceptTerminalFinceptTerminal
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.
- 30.3K
#3 · nautechsystems/nautilus_tradernautilus_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.
- 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.
- 5

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.
- 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.
- 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.
- 8

beebots
301imikerussell/beebots · TypeScriptbeebots 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.
- 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.
Related topics
Often tagged together
- algorithmic-trading38
- finance149
- quantitative-finance51
- backtesting31
- open-source5,666
- quant32
- cross-platform2,622
- crypto-trading17
- docker1,657
- linux4,181
- windows3,401
- fintech58
- forex7
- macos3,544
- python2,397
- trading60
- trading-bot31
- c#168
- cli2,227
- market-data24
- stock-market50
- ai1,955
- algorithmic-trading-engine5
- apache-2.01,434