diff --git a/Readme.md b/Readme.md
index 468a0a3..4a414d9 100644
--- a/Readme.md
+++ b/Readme.md
@@ -99,6 +99,7 @@ And I count crypto as whole new category: [>> Click ME to Systematic Crypto](cry
 - [FinClaw](https://github.com/NeuZhou/finclaw) ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/NeuZhou/finclaw/master) ![GitHub Repo stars](https://img.shields.io/github/stars/NeuZhou/finclaw?style=social) | `Python` | - AI-native quantitative finance engine with genetic algorithm strategy evolution. 484 built-in factors, walk-forward validation, multi-market support (A-shares, US, crypto). Strategies evolve themselves via GA — no manual parameter tuning needed.
 - [OpenFinClaw](https://github.com/cryptoSUN2049/openFinclaw) ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/cryptoSUN2049/openFinclaw/main) ![GitHub Repo stars](https://img.shields.io/github/stars/cryptoSUN2049/openFinclaw?style=social) | `TypeScript` | - AI-native systematic trading framework. Natural language strategy generation, multi-market execution (US/HK/CN/Crypto), self-evolving strategy pipeline with community leaderboard. Built on OpenClaw (68K+ stars).
 - [StockKit](https://stockkit.net/) ([GitHub](https://github.com/kentmswood-ui/stockkit)) | `TypeScript` | - Free AI-powered stock research reports delivered daily. Wall Street-grade analysis for US, China & HK stocks using Claude Opus and multi-model AI engine. 20+ technical indicators, automated email delivery.
+- [oracle3](https://github.com/YichengYang-Ethan/oracle3) ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/YichengYang-Ethan/oracle3/main) ![GitHub Repo stars](https://img.shields.io/github/stars/YichengYang-Ethan/oracle3?style=social) | `Python` | - Autonomous trading agent for Kalshi, Polymarket, and Solana DFlow with Wang Transform pricing engine calibrated on 291,309 resolved contracts (λ̂ = 0.183), eight constraint-based arbitrage strategies, hierarchical MLE, model Greeks, and Kelly-sized execution. Backed by SSRN working paper.
 
 ## Backtest + live trading