Spread Foundry

Spread Foundry turns opportunities discovered in RangeAtlas into constructed, stress-tested, planned, and tracked trades. It is built around a narrow loop: receive or filter a candidate, study it against scenarios, decide whether to watch or trade it, manage the live position with a plan and a daily decision log, then close it and keep its record.

Why it matters

Options tooling often splits construction, risk review, and journaling across disconnected surfaces. Spread Foundry keeps those steps together — and keeps every saved spread honest about which state it's in (a watched idea, a live position, or closed history) — without turning the product into an institutional order-management system.

The RangeAtlas handoff preserves the opportunity's market snapshot, assumptions, filters, ranking reasons, and candidate structures. MeridianScope can later apply professional controls to the same trade record.

Workflow

• Receive or filter a candidate from normalized chain context, including a context-preserving handoff from RangeAtlas.
• Study payoff, probability, volatility, and price-move assumptions, with risk-driven sizing, before capital is committed.
• Commit as a watched idea (Save) or a live trade (Execute) — two distinct acts, because an idea and a position carry different fields.
• Manage the live position with a health verdict, a structured plan, review triggers, and a daily decision log.
• Close into realized P/L and a durable trade history.

Using the product

The step-by-step user guide — how to find, study, trade, manage, and close a spread — lives on the product site: spreadfoundry.com/docs.

This documentation site keeps the technical contract: methodology notes, risk assumptions, and any public API surfaces that support Spread Foundry. The public product voice belongs on spreadfoundry.com.

Standard vs Pro

The two tiers work identically — same workspace, same workflow. They differ only in data cadence: Standard runs on the end-of-day (EOD) snapshot; Pro adds intraday updates (rolling out over time).

Powered by

• FerroSpread for spread construction, ranking, and scenario decomposition.
• FerroRisk for pricing, Greeks, volatility inputs, and risk measures.
• FerroWave for signal and regime primitives used in decision support.
• FerroFeed for normalized market-data inputs.