Corex AI Unveils Proprietary Physics-Based Trading Infrastructure

London, UK – Corex AI Group today announced a significant milestone in fintech engineering with the deployment of its proprietary Physics-Based Trading Infrastructure. This new execution engine represents a paradigm shift from traditional stochastic modeling, utilizing principles of Newtonian dynamics to govern pricing stability and execution speed.

The infrastructure addresses two critical pain points in modern high-frequency trading: latency arbitrage and price slippage during volatility events. By modeling market orders as physical objects with mass and velocity within the matching engine, Corex AI has achieved a near-zero slippage environment for assets like Gold (XAUUSD) and major indices.

"The financial markets function much like physical systems, yet most brokers rely on outdated linear aggregators," said Corex AI Group. "With our Physics-Based Pricing Engine, we aren't just matching orders; we are calculating the momentum of the market flow. This allows us to protect our partners and clients from the 'micro-gaps' that typically erode profitability."

This development paves the way for the full integration of Corex AI's ecosystem, ensuring that signals generated by the AI layer are executed with mathematical precision. The system is currently live for institutional partners and select private client groups.