Automated extraction of systematic signals from multi-year positioning data

Automated extraction of systematic signals from multi-year positioning data targets a $3.6B = 6,000 potential institutional customers (banks, hedge funds, asset managers, prop shops) × $600K ACV for integrated positioning analytics and enterprise data feeds total addressable market with medium saturation and a year-over-year growth rate of 8-12% YoY market growth for data & analytics products driven by alternative data adoption and cloud analytics (source: Greenwich Associates, Celent, industry reports).

Key trends driving demand: Alternative data adoption — buy-side desks are increasing spend on non-price datasets and expect packaged analytics that reduce integration time.; Explainable ML demand — regulators and internal risk teams require auditable models, so explainable signal extraction adds material value and trust.; API-first data consumption — engineering teams prefer programmatic, sandboxed access to signals over monolithic terminal products, enabling faster adoption.; Cloud-native analytics — lower costs for storing and reprocessing historical observations make it feasible to run iterative signal experiments on millions of rows of positioning data..