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Regime Detection

How we translate screener breadth into a market-state signal.

Regime field manual

Market Regime Landscape

Risk-On

Strong risk appetite

Trend

Sustained directional

Chop

Mixed / range-bound

Risk-Off

Defensive & cautious

0
25
50
75
100

Composite Regime Score (0 = Risk-Off, 100 = Risk-On)

What we measure

Regime is a backdrop indicator. It rises when risk-on styles like Momentum, Pullback, and Quality Growth are broadly active, and falls when risk-off styles like Short, Mean Reversion, and Defensive setups dominate. It describes market participation, not prices on its own.

Drives Regime Up
Momentum
Pullback
Quality Growth
Value/GARP
Drives Regime Down
Short
Mean Reversion
Defensive
Earnings Pre

Daily inputs

We convert screener breadth into a normalized regime signal using a consistent process.

1

Universe U(t)

Liquid U.S.-listed stocks and ADRs that meet daily price and liquidity filters.

~3,000-4,000 names
2

Style hits

Screeners map into style families so similar screens do not overcount the same idea.

Per style, per tier
3

Tier weights

Quality tiers are weighted to reflect reliability and signal strength.

Weights: 1.2, 1.0, 0.8

Style hits (breadth)

Intensity (normalized)

63
0100

Smoothing (robust)

Regime label (discrete)

Trend
Score: 63 / 100

From raw breadth to a stable, interpretable market-state signal.

Rank Regime: Momentum <-> Value

Rank Regime tracks how often names move between the top Momentum bucket and the top Value bucket. It helps identify whether Momentum or Value leadership is in control.

Momentum
Leadership
Value
Leadership
Growth StylesValue Styles
Momentum -100Momentum Advantage+38Value +100

Explore deeper

Use these links to see the regime in action.

See Regime DashboardLive score, history, and regime contextExplore ScreenersBrowse styles and underlying breadth