On June 12th, a new frontier was unveiled—a system that represents the culmination of this evolution, demonstrating the incredible power of modern AI tools for crypto arbitrage trading with HFT market making. T

The cryptocurrency markets, with their hallmark of most volatile crypto, pervasive regulatory uncertainties, and relentless 24/7 trading cycles, present a uniquely challenging environment for human traders susceptible to emotional decision-making.

In this article, we will explore Retrieval-Augmented Generation (RAG), a powerful AI technique that combines database retrieval with large language models (LLMs) to enhance AI-generated responses. We will walk through a basic implementation using LangChain, OpenAI’s GPT, and a PostgreSQL/SQLite database for a trading application.

Large Language Models (LLMs), to transform dense academic research into the skeleton of a C++ HFT code (High-Frequency Trading) application.