Explore market signals before they become outcomes.
Explore public market context, save the view, and promote decision-critical signals into scoped outcomes.
What are CMD+RVL Signals?
CMD+RVL Signals is a public-data workspace for market context. Teams use it to test timing hypotheses, preserve source-aware state, and identify views worth promoting into discovery or a working outcome.
Evidence-aware exploration
Signals is CMD+RVL's discovery layer. Analysts and agents use it to explore timing, behavior, and regime shifts with trusted public series before any view becomes an outcome.
- Curves & calendars
Rates, events, and timing together.
Unify Treasury, SOFR, mortgage rates, CPI, auctions, and policy calendars into short-horizon views. Built to show when conditions change, not just whether series correlate. - Shareable analytical state
One view. One context. No drift.
Saved Signals preserve series selection, parameters, time window, and lineage so collaborators see the same context from a shared link. - Fast iteration
Test, compare, and discard quickly.
Compare regimes, overlay events, change horizons, and capture snapshots in minutes without locking conclusions in too early.
Public examples, not abstract demos.
The library starts with bounded public-data examples that show the shape of a CMD+RVL signal: the question, inputs, threshold, current read, and path to a working outcome when the view becomes decision-critical.
Resin Procurement Watch
A procurement signal page for HDPE resin pass-through pressure, built from public inputs and published with a clear utilization gate.
The published proof page shows a yellow: wait read because utilization sits below the pass-through confidence gate.
It shows how a real market question can become a shareable signal with visible assumptions before any client-specific data enters the workflow.
Signals is a low-commitment practitioner surface. Discovery and workshops are where CMD+RVL qualifies whether a signal should become a client-specific outcome with receipts, operating mode, and delivery scope.
How Signals fits into outcome delivery
Signals is exploratory. It helps teams decide what is worth shaping in Cairn, qualifying in discovery, or turning into a working outcome.
Explore
Use Signals to test hypotheses, understand timing, and separate noise from signal using explainable, event-aware views.Align
When a view stabilizes, Signals preserves sources, assumptions, freshness, and coverage so the next conversation starts from the same context.Promote
When a signal becomes decision-critical, bring it into discovery so CMD+RVL can qualify the outcome, evidence needs, operating path, and proof record.Identify when rate moves begin translating into real borrower or issuer behavior.
Distinguish narrative shifts from actual regime change using a small, trusted set of indicators.
Decide which views are important enough to turn into working outcomes.
Signals questions
How does Signals help teams use public data?
CMD+RVL Signals is a public-data workspace for market context, timing hypotheses, and shareable analytical state before a view becomes an operated outcome.
Is Signals an operated outcome?
No. Signals is exploratory. It shows public-data context, assumptions, and current reads; discovery is where CMD+RVL decides whether a signal should become a client-specific outcome with receipts and operating scope.
What data does Signals use?
Signals uses bounded public market and event data, such as rates, calendars, policy events, and selected source-backed series that help explain timing and context.
When should a signal move into discovery?
A signal should move into discovery when the view becomes decision-critical, needs client-specific evidence, or needs repeatable delivery into an internal workflow.
Built for scrutiny, not screenshots
Signals applies the same discipline used across CMD+RVL outcomes: explicit sources, visible assumptions, and explainable context, while keeping exploration separate from authority.
Explainable context
Lineage, coverage, freshness, and latency are visible on every view so exploration can be checked and shared.Methodology transparency
Derived measures include clear methodology notes so assumptions are explicit before conclusions harden.Clear boundary to outcomes
Signals never claims authority. When certainty is required, outcomes take over with scoped delivery commitments and receipts.
- Hedge Funds
- Asset Managers
- Credit & Structured Finance
- Macro Strategy
- Risk Management
Explore freely. Promote to outcomes when it matters.