From 487a8b4cdea7942c94164636ca7110222203685e Mon Sep 17 00:00:00 2001 From: InvicTrade Date: Wed, 18 Mar 2026 00:39:33 +0400 Subject: [PATCH] Add InvicTrade to AI Powered section (#54) --- Readme.md | 1 + 1 file changed, 1 insertion(+) diff --git a/Readme.md b/Readme.md index d19487a..14fc157 100644 --- a/Readme.md +++ b/Readme.md @@ -93,6 +93,7 @@ And I count crypto as whole new category: [>> Click ME to Systematic Crypto](cry - [QLib (Microsoft)](https://github.com/microsoft/qlib) ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/microsoft/qlib/main) ![GitHub Repo stars](https://img.shields.io/github/stars/microsoft/qlib?style=social) | Python, Cython | - Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib. - [Qbot](https://github.com/UFund-Me/Qbot) ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/UFund-Me/Qbot/main) ![GitHub Repo stars](https://img.shields.io/github/stars/UFund-Me/Qbot?style=social) | `Python` | - AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. - [VARRD](https://github.com/augiemazza/varrd) ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/augiemazza/varrd/main) ![GitHub Repo stars](https://img.shields.io/github/stars/augiemazza/varrd?style=social) | `Python` | - AI-powered trading research platform that validates any trading idea with event studies, statistical tests, and real market data across 15,000+ instruments. CLI, Python SDK, and MCP server. +- [InvicTrade](https://invictrade.com) - AI-powered trading signals with 74% historical win rate, combining strategies from legendary investors using multi-model AI intelligence. ## Backtest + live trading