HighLowIndex

Incremental, causal technical analysis documentation

Summary

HighLowIndex is RTTA's streaming implementation of: Combined offsets/indexes of rolling minimum and maximum values.

Update API

result = rtta.HighLowIndex().update(value)

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

Theory Of Operation

HighLowIndex maintains rolling extrema, ranges, or envelopes. The C++ state updates the relevant window/range statistics once per input sample.

Recurrence

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

\[H_t=\max_{i\in W_t} high_i, \qquad L_t=\min_{i\in W_t} low_i\]
\[y_t = G(H_t,L_t,close_t)\]

update(...) returns a result struct with fields min_index, max_index.

Implementation Notes

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

Reference