How Do You Tell What Market Regime the Economy Is In?
A market regime is the economy's current state — expansion, acceleration, stagflation, or contraction. It's identified by sorting objective economic data into one of those four rules-based states, updated every trading day in plain English.
Given Analytics is built on a single belief: serious investors make better decisions when they understand the environment they're operating in. These materials explain the core concepts behind the Desk — the frameworks, the language, and the historical context — so you can interpret the outputs independently and in your own way.
All environment labels and symbol conditions are outputs of a rules-based model applied to specific data. They're analytical views under this framework, not complete descriptions of reality, and they may differ from other sources or from how conditions are defined or experienced by others.
How to read environment states
Every trading day, the model sorts the economy into one of four macro regimes based on two forces: whether growth is speeding up or slowing down, and whether inflation is rising or falling. The idea of organizing conditions this way isn't new — institutional macro investors have used similar concepts for decades. The model makes this type of framework explicit, rules-based, and accessible in a consistent way.
Expansion — the framework currently reads growth-related data as improving while inflation-related measures are easing. Historically, similar configurations have often coincided with broader participation across risk assets, but not universally and not in every instance. This reflects how the model groups those episodes, not a claim that they're the only correct classification. MAY — POTENTIAL — EDUCATIONAL.
Acceleration — the framework reads both growth- and inflation-related data as picking up. Historically, similar configurations have often coincided with stronger behavior in certain real assets and commodity-linked exposures. This is a description of how the model has grouped past episodes, not a forecast. MAY — POTENTIAL — EDUCATIONAL.
Stagflation — the framework reads growth-related data as weakening while inflation-related measures remain elevated or firm. Historically, similar readings have often coincided with more challenging conditions for broad risk-taking. Other models may describe the same periods differently. MAY — POTENTIAL — EDUCATIONAL.
Contraction — the framework reads both growth- and inflation-related data as slowing. Historically, similar configurations have often coincided with more defensive behavior in some assets versus more cyclical exposures. This is one model's way of organizing history, not a guarantee. MAY — POTENTIAL — EDUCATIONAL.
Two scores tell you how solid the regime read is: the Coherence Score (how strongly leading and lagging indicators agree) and the Confirmation Score (how many of 21 series support the label).
Understanding historical base rates
Everything is framed as a historical base rate. A base rate is about what has happened in the past under this framework, not a prediction about what will happen next.
A base rate is a statement about the past within the data set, such as: "In X of Y historical instances where condition A occurred, behavior B followed within Z time." It's a frequency count inside this model's history, not a causal claim and not a guarantee. Different datasets, time windows, or models may produce different counts or patterns.
How base rates are meant to be read
Base rates describe tendencies, not certainties. A configuration that historically resolved a certain way most of the time can still resolve differently tomorrow. The value isn't prediction — it's calibration. Knowing what usually happened helps you weigh probabilities instead of reacting to the latest move. You bring the judgment; the base rate gives you the reference.
Four-layer condition logic
At the symbol level, the model evaluates each stock through four independent mathematical lenses: Price Structure, Rate of Change, Risk Regime, and Market Participation. All four required lenses must align before a mathematical condition is logged. These lenses reflect how this framework chooses to look at the data — they don't capture every relevant factor, and other approaches may produce different classifications from the same raw prices.
When all four agree, the model records a timestamped condition. When they don't, nothing is logged. No partial credit. This is the logic of confluence: a setup confirmed from four independent angles carries more weight than any single indicator.
Case study: reading a transition (educational)
Imagine the regime reads Acceleration, but the Coherence Score has been sliding — from the 80s toward 40. The label still says Acceleration, but the agreement underneath is weakening. Historically, that pattern — a stable label with deteriorating coherence — has often preceded a regime change.
Reading it, you wouldn't conclude "sell everything." You'd note the environment is losing internal support, and that similar configurations have frequently marked turning points, then bring your own process to that context. Nothing about this example is a recommendation. It's an illustration of how the framework behaved in one historical period and does not capture every factor that mattered in real time.
Keep learning
Explore the full glossary for every term, read how the Desk works in detail, or start with what a macro regime is.
For educational and informational purposes only. Not investment advice. Given Analytics is not a registered investment adviser. Nothing here constitutes a recommendation or solicitation to buy, sell, or hold any security. All observations from any models or tools are readings based on historical data and rules. Past conditions are not predictive of future results.
Trend, momentum, volatility, and volume: the four layers
It reads the market across four layers: price structure (trend), rate of change (momentum), risk regime (volatility), and market participation (volume) - the four factors traders watch for confirmation. Educational only, not investment advice.
The macro backdrop: 21 economic series
The macro backdrop draws on 21 economic series from FRED data - the yield curve, credit spreads, recession probability - to frame the wider economic regime. Educational only, not investment advice.
The current market regime, in plain English
This page reflects the current market regime - whether conditions point to expansion, contraction, stagflation, or a shifting risk regime - in plain, educational terms. Educational only, not investment advice.
Put these ideas to work: view current mathematical conditions on the Observation Desk and how the engine works, and the completed-window record.
Given Analytics sorts 21 tracked economic data series into one of four market-regime states every trading day — observed data, not forecasts.
Last updated: July 31, 2026
Then see these ideas in action: read about the macro regime and what it means when market indicators agree or disagree.