The configuration is already moving your book.
Not a forecast. A measurement.
Bearing reads where your named position stands against compound configurations the corpus has already resolved. The corpus runs since March 2024 against the configurations of 1973, 2008, 2020, and 2022. Every load-bearing claim drills to source; cannot-be-wrong is enforced architecturally, not by review. The methodology has a name — the Predictive History Method — but the engine is what you'll encounter.
Bloomberg sells data. FactSet sells analytics. Risk platforms sell exposure. None sells the substrate — the standing measurement infrastructure that reads where your named position stands against the active configurations, in the language your diligence team operates in, with the cannot-be-wrong commitment enforced as a structural property of the engine.
Built and operated by BearingA. Bearing deploys against your named position; your team consumes the reads. No integration project required, no engineering review, no connector. From contract to first defensible read: days, not quarters.
A named compound configuration becomes readable through the positions exposed to it.
Hormuz reads as four compound factors composing into one cycle — military escalation risk, oil transit dependency, petrochemical feedstock exposure, regional banking stress. Each carries a transmission path that runs through specific sectors, specific positions, specific names in a portfolio.
Before the window opened, Bearing classified 240 publicly-traded companies by severity tier — not by sector but by how directly the transmission path runs through each name within its sector. Banks holding energy-corporate credit at NIM-beneficiary positions sit at one tier; chemicals companies whose feedstock routes run through the Strait at compression positions sit at the opposite. Same compound, opposing mechanisms.
Twenty-five names tracked across 22 trading days against the published classification. The Pearson correlation between position-tier and observed price direction:
At −0.755, position predicted direction strongly — across five institutional clusters, in a live market, under a live compound event.
Position-determines-direction, measured.
This is one read. Bearing does this continuously against your named position, at your operating frequency, with every claim drillable to source and the full cascade grounded against named historical precedent.
What are you trying to solve for?
Your stress test doesn't model compound geopolitical configurations. Your regulator is starting to ask.
Banks under SSM, FINMA, and equivalent supervision facing the 2026 ECB thematic stress test. The configuration running now is exactly the class of event the test was designed to capture; the scenario library doesn't include it. Bearing produces the scenario in the supervisor's grammar.
Open→The configuration is inside your portfolio. Bearing reads which names, in which direction, through which mechanism.
Institutional readers with a named portfolio and no specific regulatory framing. The active configuration is transmitting through your positions right now; the resolved historical precedent says where positions like yours have landed before.
Open→The configuration changes the value of what you're about to buy. Bearing reads the exposure before you commit.
VC and PE partners, allocators, and corporate development teams evaluating a named target. Six compound configurations read across the hold horizon at IC-pack grade. The structural exposure your diligence framework doesn't natively surface — before the capital moves.
Open→Your hedge covers the input cost symmetrically. The configuration creates asymmetric exposure your hedge doesn't reach.
CFOs and COOs at carriers, manufacturers, and operators. The same configuration that moves your input cost also moves your customer base — in a different direction, through a different mechanism. The COGS hedge doesn't cover the customer-side cascade.
Open→Your cat model has a calibration window. Compound configurations operate outside it.
CUOs and CROs at reinsurance institutions. The cat model performs at the accuracy its training substrate validated against; the configuration running now operates outside that window, so the model architecturally cannot price it. Bearing reads against the longer instrumental record.
Open→Your model accuracy degrades when the configuration shifts regime. Bearing reads the shift before it moves the market.
CIOs, CROs, and heads of research at systematic CTAs and multistrategy quant platforms. The model performs at the accuracy its training substrate validated against; regime shifts are the failure mode. Bearing delivers structured substrate the model consumes to extend accuracy through the shift.
Open→Position-determines-direction. Measured.
The cascade propagation index renders the methodology's central claim as a measured artifact. Five institutional position clusters against the Hormuz Day 0 → Day 67 window. The correlations are empirical, derived from a Kalman state layer running per the canonical architecture. This is what Bearing produces continuously against every active configuration.
5 × 5 clusters n = 22 trading days
Same compound, same direction reads as strong positive. Opposite positions read as strong negative. Structurally decoupled clusters read as neutral.
The Engine
Bearing — the deployed product running continuously against a named institutional position.
/bearing →The Method
The Predictive History Method — built since March 2024, surfaced for the technical buyer.
/method →The Company
BearingA — institutional research practice that contracts, invoices, and owns the methodology.
/about →The Record
/record — empirical defensibility substrate independently findable for diligence.
/record →