If you’ve ever wondered how to build AI trading infrastructure for retail traders without institutional capital, you’re not alone. The good news? The gap between independent traders and small hedge funds has never been smaller.

The new frontier is "Vibe Coding"—the integration of Large Language Models (LLMs) into the core strategy development workflow, allowing traders to generate production-quality, executable Python strategies from natural language prompts in a matter of minutes.

Gone are the days when high-frequency trading (HFT) was solely the domain of C++ wizards in Chicago basements. Today, thanks to advancements in .NET performance and the explosive capabilities of AI coding assistants, building a robust, multi-strategy engine is more accessible than ever.