Autonomous Quantitative Trading & Vibe Coding

**Strategic Summary:** Trust is the most expensive asset in finance. When building with AI, how do you know the code is safe? In this part, we explore the **Fortress Protocol**—my rigorous verification framework designed to catch AI hallucinations and ensure…

**Strategic Summary:** Information is only an asset if it can be consumed instantly. In this part, we explore the **Visual Ergonomics** of the US Market Analyzer—how to use Next.js and Tailwind CSS to create a premium, low-friction UI designed for…

**Strategic Summary:** A dashboard is only as good as the pulse it measures. In this part, we explore the “Heart” of the system—transforming raw Python scripts into a sophisticated **Quant Intelligence Pipeline** using Gemini API. We focus on low-latency data…

**Strategic Summary:** In the high-velocity world of quantitative finance, time is not just money—it is **Capital Efficiency**. This opening part explores why I transitioned from traditional development to ‘Vibe Coding’ to build the **US Market Analyzer**, and how this shift…

In the 2026 decentralized inference economy, a single model is a single point of failure. True intelligence emerges from the synergy of specialized agents. This masterclass introduces Multi-Agent Consensus Trading (MACT), a framework where independent AI agents collaborate, debate, and…