UltimateOscillator

Incremental, causal technical analysis documentation

Summary

UltimateOscillator is RTTA's streaming implementation of: Weighted multi-window buying-pressure oscillator.

Update API

result = rtta.UltimateOscillator().update(close, high, low)

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

Theory Of Operation

UltimateOscillator is a causal smoother or average. It updates compact rolling or exponential state with the newest observation and returns the current smoothed estimate.

Recurrence

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

\[U_t,D_t = \operatorname{directional\_components}(z_t,z_{t-1})\]
\[y_t = 100\frac{\operatorname{smooth}(U_t)} {\operatorname{smooth}(U_t)+\operatorname{smooth}(D_t)}\]

The return value is the current scalar indicator value.

Implementation Notes

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

Reference