From a5e51ce95cad5810e7e8a56a52b4ab4ebc0faece Mon Sep 17 00:00:00 2001 From: cloudsealed Date: Wed, 25 Mar 2026 02:57:49 -0600 Subject: [PATCH] Add JIT-Optimization-Engine to Python Trading section (#294) ### Suggested Addition **Project:** [JIT-Optimization-Engine](https://github.com/cloudsealed/JIT-Optimization-Engine) ### Description I am suggesting the inclusion of JIT-Optimization-Engine. It is a high-performance engine designed for mission-critical telemetry analysis in quantitative finance and FinOps. ### Why it's Awesome: * **LLVM/JIT Acceleration:** Uses Numba to bypass the Python GIL, achieving machine-code execution speeds. * **Benchmark Proven:** Demonstrates a **302x efficiency gain** compared to standard Python simulations in architectural audits. * **Enterprise Ready:** Features a high-throughput connector for time-series databases (QuestDB) and automated compliance reporting. * **Quality:** Includes a full suite of unit tests, CI/CD pipelines via GitHub Actions, and detailed architectural documentation. The project is licensed under MIT and is actively maintained. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index fd13c30..c082458 100644 --- a/README.md +++ b/README.md @@ -171,6 +171,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants - [antback](https://github.com/ts-kontakt/antback) - A lightweight, event-loop-style backtest engine that allows a function-driven imperative style using efficient stateful helper functions and data containers. - [VARRD](https://github.com/augiemazza/varrd) - AI-powered trading edge discovery platform that validates trading ideas with event studies, statistical tests, and real market data. Web app, MCP server, CLI (`pip install varrd`), and Python SDK. - [polymarket-whales](https://github.com/al1enjesus/polymarket-whales) - Real-time whale trade tracker for Polymarket — terminal alerts + Telegram notifications when large orders hit the book. +- [JIT-Optimization-Engine](https://github.com/cloudsealed/JIT-Optimization-Engine) - High-performance analytical core using LLVM JIT (Numba) to process large-scale telemetry for quant diagnostics. ### Risk Analysis