BalanceOfPower

Summary

BalanceOfPower is RTTA's streaming implementation of: Open/high/low/close buying-versus-selling pressure measure.

Update API

result = rtta.BalanceOfPower().update(open, high, low, close)

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

Theory Of Operation

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

Recurrence

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

\[H_t=\max_{i\in W_t} high_i, \qquad L_t=\min_{i\in W_t} low_i\]

\[y_t = G(H_t,L_t,close_t)\]

The return value is the current scalar indicator value.

Implementation Notes

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

Reference

Background reference