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Side vs side

Side Against Side: Resistance and Support Compared

We put all six order-book features grouped into the resistance side and the support side into one study and asked how the pieces relate, which one leads, and what the combination predicts. Same boundary as always: it speaks about size, not side.

Research note Β· 2026 Β· AI-assisted, human-reviewed

β‘  The pieces, measured separately

This study looks at all six order-book features grouped into the resistance side and the support side. Before combining anything we show each component on its own scale, per coin β€” otherwise a composite hides which part is actually doing the work.

Profiles of the individual features
Profiles of the individual features

β‘‘ How the pieces relate

Cross-correlation between the components, averaged over coins. The strongest pairs are buy-wall build-up vs buy-wall drain +0.92; sell-wall build-up vs sell-wall drain +0.92; sell-wall drain vs buy-wall drain +0.80. Numbers near zero matter as much as high ones: they say the two quantities carry independent information and can be combined without simply repeating each other.

Cross-correlation between the features
Cross-correlation between the features

β‘’ Which one moves first

Lagged correlation answers the ordering question: when one component shifts, does the other follow, and after how long? Profiles that peak away from zero lag indicate a lead-follow relationship rather than a coincidence.

Lagged correlation between the features
Lagged correlation between the features

β‘£ What the combination predicts

The same volatility sweep as in every study, now for the combined view: link strength against the size of the next move across horizons, per coin. As everywhere else, the usable signal sits at the short end and concerns magnitude.

Link to the next move across horizons
Link to the next move across horizons

β‘€ Where it peaks

The best window per coin for the combined reading.

Peak predictive window per coin
Peak predictive window per coin

β‘₯ Impact per unit

Price impact per +1Οƒ of each component, side by side β€” useful to see which piece carries the mechanical push and which is merely correlated with it.

Price impact per +1Οƒ, by component
Price impact per +1Οƒ, by component

⑦ States and transitions

Labelled states for the combined reading, and how they hand over to one another.

States and transitions
States and transitions

β‘§ Memory of the combination

Autocorrelation of the combined reading by timeframe β€” the same stickiness we see in every single feature, preserved after combining.

Autocorrelation by timeframe
Autocorrelation by timeframe

⑨ Extremes

How far above normal the extremes of this combination run.

Research, not financial advice.

Spike-to-normal ratio
Spike-to-normal ratio
πŸ€– This research β€” data collection, analysis, charts and the narrated video β€” was produced with the assistance of AI, then reviewed by a human. We forecast volatility, not direction, and log every prediction. Research, not financial advice.

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