In the past year, the profound successes of Transformer Neural Networks, especially Generative Pre-trained Transformers like OpenAI's GPT-4 and Meta's LLaMA2, have sparked the imagination of those in the financial industry. During recent traditional finance conferences I've attended, participants have been abuzz with speculation about how these state-of-the-art AI models could disrupt conventional investing and trading. This post aims to provide insights on how advanced machine learning models might integrate into the world of algorithmic trading, drawing from my experience in the fields of computer science, machine learning, and quantitative finance.

Architect Financial Technologies, Inc. ("Architect" or "the Company") today announced its expansion into derivatives brokerage services after its subsidiary, Architect Financial Derivatives, LLC, received regulatory approval from the NFA to operate as an Independent Introducing Broker in CFTC-regulated derivatives. The Company's new brokerage will enable clients to trade the full range of listed derivatives products – futures, index options, futures options, trade-at-settlement futures, future spreads, and event contracts – on CFTC-registered exchanges. Architect will partner with US Futures Commission Merchants including Wedbush Securities, StoneX Financial Inc., and Straits Financial to provide related clearing services.

Brett Harrison, Architect Financial Technologies Founder & CEO, talks to Bloomberg Markets about the spot Bitcoin ETF launched by Fidelity and how companies are adopting artificial intelligence.