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Regime Analytics

Reading the multi-timeframe view

The Multi-Timeframe page reads one asset on every timeframe at once, so agreement and conflict are visible at a glance.

ARAntick Research
Oct 31, 20265 min read

Switching between timeframes one by one makes it easy to lose the picture. The Multi-Timeframe page lays out the same read from 5m to 1D in one place.

The reading order

  1. Contributor. See how many timeframes were measured, how many agree on the bias, and which is strongest.
  2. Structure Score Confidence and Timeframe Coverage. See the confidence on each timeframe, and any data that is stale or missing.
  3. Multi-Timeframe Metric. Read from top to bottom to see where short and long timeframes part ways.
  4. Multi-Timeframe Signals. See which conditions appear and how much coverage they have.

Look for agreement first. A read that holds on most timeframes is sturdier than one that appears on a single timeframe. A signal with 30% coverage is also weaker than one with 80% coverage.

Case study: BTC is split

Here is the MSI read for BTC on October 30, 2026 at about 20:26 UTC.

All ten timeframes were measured, but only 6 of 10 had an up bias. The strongest timeframe was 30m at 68% confidence, and the mean confidence was 36.3.

The pattern is not tidy. Timeframes from 5m to 1H had an up bias, then the bias alternated from 2H upward, and 1D had a down bias with a Structure Change regime. On 8H, the regime was Distribution Top.

SignalRangeCoverage
Open Interest Expansion5m–1D100%
Regime Shift5m–1D70%
High Volatility1H–12H60%
Distribution Pressure2H–1D60%
Weak Trend5m–4H50%

Distribution pressure appeared on larger timeframes, while the weak trend appeared on smaller ones. No single direction was agreed, so BTC at that moment was better read as a market in transition than as a trend.

Related guides: Using the multi-timeframe view

AR
Written byAntick Research

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