How Rishabh Singh Is Transforming Financial Trading Through AI Intelligence

Rishabh Singh, co-founder and CTO of JoinMeNow Inc. , believes that the future of financial trading depends increasingly on intelligence rather than execution speed alone. His professional journey began with ultra-low-latency C++ trading software for global banks, where even nanoseconds could influence trading performance. The article explores the evolution of financial market technology, including Spread Networks’ 2010 fiber-optic connection between Chicago and Carteret, New Jersey. Reportedly costing around $300 million, the line reduced one-way signal travel time from approximately 8 milliseconds to 6.65 milliseconds. Singh later expanded his work into machine learning models for credit risk and pricing, language models trained on financial text, and AI systems for financial forecasting and optimization. The article distinguishes low-latency engineering, which helps execute trades faster, from predictive intelligence, which supports better decisions. FCA and University of Chicago research found frequent latency-arbitrage races in London markets, with estimates suggesting around $5 billion annually was at stake across global equity markets. Meanwhile, U.S. high-frequency trading revenue declined substantially between 2009 and 2016. Research from the Bank of England and FCA also showed growing AI adoption among surveyed UK financial firms, increasing from 58% in 2022 to 75% in 2024. The IMF has warned that AI-driven trading could increase market speed and volatility during financial stress. Singh argues that future competitive advantages will come from software capable of interpreting market information, making informed predictions, reasoning, and adapting.