D04 · McClellan Family · synthetic teaching data

Ratio-Adjusted Summation Index (RASI) guided lab

How can a cumulative breadth path remain comparable when the count of moving issues changes?

Decision: Choose RASI when both normalization and cumulative state are required.

Input and recursive state

Ratio-Adjusted Summation Index (RASI) teaching pathInput, fast trend, slow trend, oscillator, and optional cumulative index appear only through the selected causal stage.Upper: input · fast · slowLower: oscillator · optional index
inputfastslowoscillatorindex

Visible calculation trace

ObservationRegimeInputFastSlowOscillatorIndex
Ratio-adjusted issuesRaw issuesRaw volume