Automate extraction of trading signals from noisy multi-year positioning data

Automate extraction of trading signals from noisy multi-year positioning data targets a $3.0B = 30,000 institutional desks × $100K ACV total addressable market with medium saturation and a year-over-year growth rate of 12% CAGR — alternative data and quant analytics demand growth (source: Grand View Research and industry reports on alternative data adoption).

Key trends driving demand: Alternative data adoption — buy-side budgets for alternative datasets and analytics are growing, increasing willingness to pay for high-quality positioning signals.; API-first integration — trading desks and quant teams prefer programmatic feeds and reproducible pipelines, creating demand for data delivered via APIs and SDKs.; Explainable ML — customers require transparent, statistically rigorous signals rather than black-box scores, driving need for explainability and backtested performance.; Cloud compute and vector DBs — modern infrastructure reduces cost of storing and querying multi-year, high-frequency positioning datasets, enabling products that were previously too expensive to operate..