ZEMEN
Macro Intelligence
DashboardRegime Detector

Regime Detector

k-means (k=5) on monthly macro features from FRED: rates, CPI YoY, unemployment, real GDP YoY, and HY OAS. Confidence reflects soft assignment to the latest centroid.

Current Regime

As of 2026-03 (last month with full inputs)

Recession30.3%confidence
Rising joblessness, wide spreads, and contracting activity.

Input Features

FeatureValue
Fed funds rate (%)3.64
CPI YoY (%)3.29
Unemployment (%)4.30
Real GDP YoY (%)2.66
Money Supply YoY (%)4.57
Housing Starts (%)10.85
Yield Curve (%)0.51
Consumer Sentiment53.30

Regime by Year (1995–present)

Each year uses the most common monthly regime; the percentage is how many months matched that regime.

2011
Goldilocks
83%
2012
Stagflation
100%
2013
Stagflation
75%
2014
Stagflation
58%
2015
Overheating
100%
2016
Overheating
100%
2017
Overheating
100%
2018
Overheating
100%
2019
Overheating
100%
2020
Stagflation
50%
2021
Recovery
75%
2022
Recovery
50%
2023
Recession
100%
2024
Recession
100%
2025
Recession
100%
2026
Recession
100%

Predict the Next Regime

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Current Status

Recession

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Learn how regimes work

Understand how we detect and classify economic regimes

What are Economic Regimes?

Economic regimes are distinct periods in the business cycle characterized by specific patterns in key macroeconomic indicators. We identify five main regimes:

Goldilocks

Moderate growth, low inflation, stable employment

Recovery

Strong growth, improving employment, supportive policy

Overheating

High inflation, tight labor market, rising rates

Stagflation

High inflation + high unemployment + weak growth

Recession

Negative growth, high unemployment, falling rates

How We Detect Regimes

We use machine learning (k-means clustering) on 8 key macro indicators to identify patterns and classify the current economic environment. When data is limited, we fall back to rule-based detection using economic thresholds.

Model: 182 monthly observations · Not investment advice.

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