From b26d08cfe1b4ff55c4c311629a20998f036917ca Mon Sep 17 00:00:00 2001 From: Miro <926320181@qq.com> Date: Thu, 11 Jun 2026 06:15:26 +0800 Subject: [PATCH] Add Inalpha to AI Powered Systematic Trading Systems (#111) Co-authored-by: Claude Fable 5 --- Readme.md | 1 + 1 file changed, 1 insertion(+) diff --git a/Readme.md b/Readme.md index 8adccd8..7609f3a 100644 --- a/Readme.md +++ b/Readme.md @@ -101,6 +101,7 @@ And I count crypto as whole new category: [>> Click ME to Systematic Crypto](cry - [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. - [Eterna](https://github.com/EternaHybridExchange/eterna-ai) ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/EternaHybridExchange/eterna-ai/main) ![GitHub Repo stars](https://img.shields.io/github/stars/EternaHybridExchange/eterna-ai?style=social) | `MCP` | - Launch your own autonomous perp trading AI via Claude Code in 60 seconds. Hybrid exchange MCP with $10B+ aggregated liquidity across 500+ pairs — Claude executes your strategies 24/7. Endpoint: `https://mcp.eterna.exchange/mcp` +- [Inalpha](https://github.com/mirror29/inalpha) ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/mirror29/inalpha/main) ![GitHub Repo stars](https://img.shields.io/github/stars/mirror29/inalpha?style=social) | `Python` `TypeScript` | - AI agent framework for quant research: agents pick the factors working now to time entries (time-series rank IC), write full Python strategies audited in sandboxes, and evolve them under multi-objective fitness. Every order passes machine approval — the LLM has no direct order path. Multi-market: crypto, US/CN/HK equities, global indices, FRED macro. ## Backtest + live trading