The Engine Behind
Summit Strategy AI
We built the platform we wished existed. Combining quantitative AI, cutting-edge asynchronous web architecture, and algorithmic risk normalization.
Our Origin Story
Summit Strategy AI was born out of frustration. As quantitative developers, we engineered a highly sophisticated, multi-head reinforcement learning engine (Event Horizon) that successfully captured complex macro swings.
However, we found that traditional retail infrastructure (MT4/MT5) was built for individual manual traders, completely blocking scalable multi-account replication.
The three founders joined forces to build a zero-install, cloud-native abstraction layer. By combining quantitative AI, cutting-edge asynchronous web architecture, and algorithmic risk normalization, we transformed a private trading framework into a scalable SaaS built to protect and grow client capital.
The Founding Team
The architects of the Summit Strategy AI ecosystem.
Nathan Fletcher
Chief Technology Officer
Driven by a passion for quantitative finance and machine learning, Nathan transitioned the Event Horizon core intelligence from a private, high-performance execution model into an institutional-grade, multi-tenant infrastructure.
Ben Forrester
VP of Engineering
Specializing in distributed systems and cloud architecture, Ben ensures that hundreds of concurrent client accounts route algorithmic execution intents globally with sub-millisecond precision.
Alex McAnulty
Chief Executive Officer
Focused on user experience and strategic market positioning, Alex ensures the platform delivers a seamless, zero-install deployment model that bridges the gap between elite quantitative trading and day-to-day retail execution.