From 307da39305f6b9cb8921d37a8899b2339a759195 Mon Sep 17 00:00:00 2001 From: augiemazza <139812003+augiemazza@users.noreply.github.com> Date: Mon, 9 Mar 2026 06:40:55 -0500 Subject: [PATCH] Add VARRD - AI-powered trading edge discovery platform (#49) --- Readme.md | 1 + 1 file changed, 1 insertion(+) diff --git a/Readme.md b/Readme.md index 1e0855d..3898b19 100644 --- a/Readme.md +++ b/Readme.md @@ -92,6 +92,7 @@ And I count crypto as whole new category: [>> Click ME to Systematic Crypto](cry - [FinGPT](https://github.com/AI4Finance-Foundation/FinGPT) ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/AI4Finance-Foundation/FinGPT/master) ![GitHub Repo stars](https://img.shields.io/github/stars/AI4Finance-Foundation/FinGPT?style=social) - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace. - [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. ## Backtest + live trading