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wickra/docs/wiki/indicators/price-oscillators/Indicator-BalanceOfPower.md
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kingchenc d2f99efd78 F13c: restructure the indicator catalogue into eight families
The original taxonomy was four classical families plus a statistics group,
with the F1-F12 expansion slotted in as sub-categories. This regroups the
whole 71-indicator catalogue into eight top-level families, each with at
least five members:

  Moving Averages (12), Momentum Oscillators (13), Trend & Directional (9),
  Price Oscillators (5), Volatility & Bands (12), Trailing Stops (5),
  Volume (9), Price Statistics (7).

- Wiki: docs/wiki/indicators/ reorganised into eight family folders; all 71
  indicator pages moved with `git mv`. Every internal cross-link is
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- Tests: Node indicators.test.js and Python test_new_indicators.py cover
  all eight new indicators (Node 91/91, Python 117/117 green).

cargo fmt + clippy (core/wickra/data/wasm/node) clean; 508 core tests,
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BalanceOfPower

Balance of Power (BOP) — where the bar closed within its range relative to where it opened.

Quick reference

Field Value
Family Price Oscillators
Input type Candle (uses open, high, low, close)
Output type f64
Output range [1, +1]
Default parameters none (no parameters)
Warmup period 1
Interpretation Intrabar buyer/seller control; +1 buyers, 1 sellers.

Formula

BOP = (close  open) / (high  low)

Balance of Power asks a single question per bar: did buyers or sellers win it? A bar that opened on its low and closed on its high scores +1 (buyers in total control); the mirror image scores 1. It is a stateless per-bar reading. A zero-range bar carries no information and yields 0.

Parameters

BalanceOfPower takes no parametersBalanceOfPower::new() in Rust, wickra.BalanceOfPower() in Python, new ta.BalanceOfPower() in Node.

Inputs / Outputs

From crates/wickra-core/src/indicators/balance_of_power.rs:

impl Indicator for BalanceOfPower {
    type Input = Candle;
    type Output = f64;
    // update(&mut self, input: Candle) -> Option<f64>
}

BalanceOfPower is a candle-input indicator that reads all four of open, high, low, close. Python's streaming update accepts a 6-tuple or a dict; the batch helper takes open, high, low, close numpy arrays. Node and WASM expose update(open, high, low, close) and the matching batch.

Warmup

BalanceOfPower::new().warmup_period() == 1. It is a stateless per-bar transform — it emits a value from the very first candle.

Edge cases

  • Zero-range bar. high == low yields 0 instead of dividing by zero.
  • Close on high, open on low. Scores exactly +1.
  • Reset. bop.reset() only clears the is_ready flag.

Examples

Rust

use wickra::{Candle, Indicator, BalanceOfPower};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let mut bop = BalanceOfPower::new();
    // open 10, high 14, low 10, close 12 -> (12 - 10) / (14 - 10) = 0.5.
    let v = bop.update(Candle::new(10.0, 14.0, 10.0, 12.0, 1.0, 0)?);
    println!("{:?}", v);
    Ok(())
}

Output:

Some(0.5)

Python

import numpy as np
import wickra as ta

bop = ta.BalanceOfPower()
print(bop.batch(
    np.array([10.0]), np.array([14.0]), np.array([10.0]), np.array([12.0])
))

Output:

[0.5]

Node

const ta = require('wickra');
const bop = new ta.BalanceOfPower();
console.log(bop.batch([10], [14], [10], [12]));

Output:

[ 0.5 ]

Interpretation

A BOP holding above zero says buyers are consistently winning the bars — a healthy uptrend; below zero is the seller's mirror. Because the raw per-bar value is noisy, it is commonly smoothed with a short moving average before trading the zero-line crossings, or read for divergence against price.

Common pitfalls

  • Using the raw value as a trend signal. Per-bar BOP whipsaws; smooth it.
  • Feeding it scalar prices. It needs the full OHLC bar — including open.

References

Balance of Power, popularised by Igor Livshin; the (close open) / (high low) definition is the standard one.

See also