Guided indicator lab · synthetic teaching data

KAMA: from price path to adaptive response

Choose a path, step through it, and audit exactly how displacement, path length, efficiency ratio, and the squared smoothing constant move the recursive average.

Lab controls

Causal state through the active observation

Loading canonical scenario…

Price KAMA ER SC
KAMA causal playground chart Price and KAMA with efficiency ratio and smoothing constant through the selected observation.

Calculation audit

The last 10 observed rows; null means the indicator is not ready. Values are not rounded internally.

IndexPriceChangePathERαSCPreviousKAMA

Keyboard: Left/Right step, R resets. This lab explains calculation behavior, not predictive power or profitability. All source values are deterministic synthetic teaching data loaded from the canonical package fixture.