Multi-leg options analytics without spreadsheet glue.

Multi-leg analytics are not just the sum of single-contract analytics. The structure, ratios, constraints, and explanation need to travel together.

Why this is an engine problem, not a UI filter

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Single-leg analytics do not answer whether the combined structure is coherent.

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Multi-leg payoff and sensitivity views become inconsistent when assembled in separate layers.

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Products need one candidate object that carries structure, pricing, ranking, and explanation.

How FerroSpread handles it

01

Create the spread object

FerroSpread represents each candidate as a typed multi-leg structure with enough context for downstream analytics.

02

Attach pricing and Greeks

FerroRisk supplies the pricing and surface path so spread-level analytics stay aligned with contract-level analytics.

03

Return product-ready context

The ranked output can feed dashboards, decision desks, research pipelines, and advisor-grade applications.

What makes this FerroSpread-shaped

Built behind Spread Foundry and MeridianScope.

Supports standard and custom spread structures.

Designed for auditable candidate lineage.

Common concerns

Is multi-leg analytics different from pricing each leg?

Yes. Leg pricing is necessary, but spread analytics also needs structure constraints, payoff, combined sensitivities, ranking, and explanation.

Can outputs be consumed by different products?

Yes. FerroSpread is positioned as a reusable engine component below multiple MorphIQ Labs applications.