Another late night. Building a quant trading system an agentic model where different AI agents handle research, testing and risk, and none of them is allowed to place a trade on its own.

The hardest part so far? Being honest when the results say "not yet." Most strategies I've tested failed once real costs were included. That's exactly what testing is for.

Keeping The Psychology of Money and The Diary of a CEO close while I figure it out. What are you reading these days?

#QuantTrading #AlgoTrading #BuildInPublic

Curious how you’ve separated the agents from execution. When you say none can place a trade on its own, is that enforced through a separate execution service with fixed risk checks, human approval or both? I’d love to understand where the agent's decision-making ends and the hard rules take over.

Hi! I’m a college student and an aspiring AI/ML engineer who loves building things with technology and turning ideas into real projects.

I built the Arshi Masale website for a local spice business from Sindhudurg, Maharashtra. This project was special to me because it showed me that even as a student, I can use what I’m learning to create something useful for a real business.

I focused on making it modern, simple, mobile-friendly, and ready for future e-commerce features. This is one of the projects that motivates me to keep learning, building, and eventually turn my passion for AI and technology into a career.

DO SUPPORT GUYS 😊