From 9481ab8c3441d214fc741ecd173ba63acc0e129b Mon Sep 17 00:00:00 2001
From: Exocet92 <79667065+Jimmy7892@users.noreply.github.com>
Date: Sat, 25 Jul 2026 11:05:38 +0200
Subject: [PATCH] Add Manifold-BT to Vector Based Frameworks (#137)

---
 Readme.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Readme.md b/Readme.md
index 7ee01dd..4bd5ccd 100644
--- a/Readme.md
+++ b/Readme.md
@@ -158,6 +158,7 @@ Note: the one marked as `Live Trading` has reasonable live trading support for a
 - [vectorbt](https://github.com/polakowo/vectorbt) ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/polakowo/vectorbt/master) ![GitHub Repo stars](https://img.shields.io/github/stars/polakowo/vectorbt?style=social) | Python, numba | - vectorbt takes a novel approach to backtesting: it operates entirely on pandas and NumPy objects, and is accelerated by Numba to analyze any data at speed and scale. This allows for testing of many thousands of strategies in seconds.
 - [fund-strategy](https://github.com/SunshowerC/fund-strategy) ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/SunshowerC/fund-strategy/master) ![GitHub Repo stars](https://img.shields.io/github/stars/SunshowerC/fund-strategy?style=social) | TypeScript | - 一个简单实用的基金投资策略分析，基金回测工具
 - [fastquant](https://github.com/enzoampil/fastquant) ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/enzoampil/fastquant/master) ![GitHub Repo stars](https://img.shields.io/github/stars/enzoampil/fastquant?style=social) | Python | - Backtest and optimize your ML trading strategies with only 3 lines of code
+- [Manifold-BT](https://github.com/manifoldbt/manifoldbt) ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/manifoldbt/manifoldbt/master) ![GitHub Repo stars](https://img.shields.io/github/stars/manifoldbt/manifoldbt?style=social) | Python, Rust | - High-performance Rust-powered backtesting engine: strategies are written as vectorized signal expressions and run with realistic per-bar fills (fees, slippage and look-ahead handled), testing hundreds of thousands of parameter combinations in seconds, plus walk-forward and Monte Carlo.
 
 ### Crypto currency focus