Momentum

Incremental, causal technical analysis documentation

Summary

Momentum is RTTA's streaming implementation of: Difference between current value and a prior value.

Update API

result = rtta.Momentum().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

Momentum implements the streaming form of Difference between current value and a prior value. 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.

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

The return value is the current scalar indicator value.

Implementation Notes

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

Reference