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Regime Analytics

Reading the Regime Map in 5 minutes

The Regime Map condenses many measures into one shape. These five steps help you read that shape without jumping to the wrong conclusion.

ARAntick Research
Oct 31, 20266 min read

The Regime Map is a radar showing the shape of the market according to one engine. Each axis represents one thing that engine measures. The further an axis reaches outward, the stronger that read is.

You can find it in Smart Market Overview & Discovery, on the Regime & StateMap Structure page. The Regime Map card is also on Discovery Intelligence, available from the Free plan.

Minute 1: choose a timeframe and an engine

The radar applies to one timeframe at a time. Decide which timeframe you care about first. The default view uses SMOD, and the tabs above the radar switch the engine to MSI, MPI, SAI, LBI or SCTA.

Minute 2: read the labels above the radar

Above the radar are the dominant regime, the bias and the confidence. The dominant regime is the kind of market found most often across all assets. The bias shows the direction: up, down or balanced.

Check the confidence before you trust the label. Low confidence means the evidence behind the read is thin. If an engine has no measure on that timeframe, its card says so.

Minute 3: read the shape

Look for the axis that truly stands out. A round, even shape means no single behavior dominates. The value scale has four bands:

Value rangeLabel
Up to 30Weak
Up to 50Soft
Up to 70Firm
Up to 100Strong

On SMOD, the seven axes are Discovery, Momentum Expansion, Silent Accumulation, Distribution, Liquidity Trap, High Manipulation and Emerging Coin. A market that stands out on Liquidity Trap tells a different story from one that stands out on Momentum Expansion.

Minute 4: check the spread and the changes

The dominant regime does not necessarily represent most assets. Regime Insight states how many assets sit in the top regimes, and State Distribution shows whether the market is concentrated in one state or spread out. Regime Breakdown summarizes the score, regime, bias and confidence of each engine.

Then open Regime Transition. This card shows whether the market regime is stable or changing often.

Minute 5: compare engines

Switch the tab to another engine on the same timeframe. When several engines tell a similar story, the market read is easier to rely on. When they differ, note the difference as a reason for care.

Left: MSI radar. Right: LBI radar. Both 1H, October 30, 2026.

Three common mistakes

  • Treating the market as the asset. The radar on this page reads the whole market. For one asset, open Structure DNA on the Structure Analysis page.
  • Reading only one timeframe. Confirm a strong shape on a larger timeframe.
  • Stopping at the shape. Continue to the scenarios and the Invalidation Zone before you conclude.

Case study: the 1H Regime Map on October 30, 2026

On the 1H candle that closed at 19:00 UTC, the dominant SMOD regime was Compression Zone with a BALANCED bias. Here is how to read it with the five steps above:

  • Confidence. Confidence was only 19.8%, so this dominant label needs careful reading.
  • Shape. The strongest axis was Liquidity Trap at 63% (Firm), and the weakest was Distribution at 35% (Soft).
  • Spread. Compression Zone covered 202 of 361 assets (56%), Exhausted Trend 19%, and Risky Manipulation 12%.
  • Change. Regime Transition showed the market repeatedly moving between Compression Zone and Exhausted Trend over the last 48 candles.
  • Across engines. LBI read Mixed Book with an UP bias and 73.8% confidence, while SAI read Crowded Accumulation with a DOWN bias and 64.4% confidence.

In short, the market was compressing with no agreed direction, and its regime had not settled. This case also shows the difference between the market and an asset. SCTA for the whole market had an UP bias, while SCTA for BTC at the same time had a DOWN bias.

Related guides: How to read the regime panel and Structure DNA, The Regime & StateMap page, Regime transitions and state probabilities

AR
Written byAntick Research

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