Institutional-grade enumeration at scale.

Every derivatives pricing model resolves to a statement about the underlying's statistical properties: its realized volatility, its regime structure, its autocorrelation at various lags. The derivative contract is the expression vehicle that lets a desk exploit those properties with leverage, defined risk, or calendar structure. The instrument selection is secondary to the characterization of the underlying itself (Black and Scholes 1973; Merton 1973).

Volatility arbitrage desks estimate realized vol on the underlying and trade the spread against implied (Carr and Wu 2009). Systematic futures desks identify regime transitions in the underlying and express the view through the term structure (Moskowitz, Ooi and Pedersen 2012). In both workflows, the derivative is the delivery mechanism. The alpha is in the underlying.

The enumeration engine your institution licenses already produces exhaustive, regime-conditional microstructure statistics on the underlying: 1M+ parameter configurations, 1-minute resolution, time-of-day conditioning. This is the same statistical foundation that options and futures desks source separately through vol surface vendors, single-model GARCH fits, or bespoke parametric estimators (Bollerslev 1986; Heston 1993). Your directional research teams and your derivatives teams are studying the same object. One compute pass serves both.