RateOfChangeRatio100

Incremental, causal technical analysis documentation

Summary

RateOfChangeRatio100 is RTTA's streaming implementation of: Rate-of-change ratio scaled by 100.

Update API

result = rtta.RateOfChangeRatio100().update(close)

The update(...) call consumes one observation using close. advance(...) uses the same inputs when the caller wants to update state without materializing a Python return value.

Theory Of Operation

RateOfChangeRatio100 implements the streaming form of Rate-of-change ratio scaled by 100. Each update(...) call consumes exactly one new observation tuple and advances the internal state before returning the current value or result struct.

Recurrence

Let \(z_t = close_t\) denote the observation consumed by one update(...) call and let \(\theta\) denote constructor parameters such as window lengths, thresholds, and smoothing constants.

\[y_t = 100\frac{close_t}{close_{t-n}}\]

The return value is the current scalar indicator value.

Implementation Notes

The recurrence is implemented in src/rtta/indicator.cpp in class RateOfChangeRatio100.

Reference