Direct Answer
Balance of Power is a momentum measure used to measure the speed, persistence, or relative intensity of recent price movement. The production page must define the exact calculation convention before interpreting higher or lower readings, because platform and provider implementations can differ.
Balance of Power: Formula, Meaning, Signals, Examples and How to Use It
How Is Balance of Power Calculated?
Compares the close-to-open move with the full high-to-low range of a bar to gauge whether buyers or sellers controlled the bar. Values run from -1 to +1 and are often smoothed with a moving average.
Formula: BOP = (Close - Open) / (High - Low), commonly smoothed with a moving average
Inputs:
- Open, high, low and close of each bar
- Optional smoothing period (a moving average such as 14)
Worked example. A bar that opens at 100, ranges from 99 to 105 and closes at 104 has a balance of power of 0.67. The inputs are illustrative numbers, not market data.
Reading it. Positive values show the close finished above the open, with larger values meaning the move covered more of the bar's range. Negative values show sellers dominated. Values near zero mean a bar with little net direction.
Limits. It uses only one bar's open and close, so it ignores gaps between bars and where the range was traded. When high equals low the ratio is undefined and must be handled separately.
Indicator overview
| Attribute | Value |
|---|---|
| Category | Momentum |
| Asset classes | Stocks, ETFs, Indexes, Futures, Forex, Crypto, Commodities |
| Output type | Oscillator/line |
| Parameters | Varies by implementation; document exact settings on use |
What is Balance of Power?
Balance of Power is a momentum measure used to measure the speed, persistence, or relative intensity of recent price movement. The production page must define the exact calculation convention before interpreting higher or lower readings, because platform and provider implementations can differ.
For Swoopr, the canonical profile separates definition, calculation, interpretation and decision use. That keeps readers from collapsing a descriptive metric into a trading strategy. An indicator can describe trend, momentum, volatility, participation, positioning or risk without providing a complete entry, exit, sizing or portfolio decision.
What does it measure?
Balance of Power measures specific market properties in the Momentum domain. The practical value is repeatability: the same inputs and formula can be applied across a defined dataset, allowing users to compare readings through time or across instruments when the calculation convention is held constant.
How to read Balance of Power
Interpretation depends on the market property being measured. A descriptive reading is not automatically predictive. The same numerical state can lead to different outcomes in a strong trend, quiet range, event-driven gap or illiquid market. Always combine with context from price structure, volume, and broader market regime before drawing conclusions.
Strengths
- It places the open-to-close body inside the high-to-low range, so each bar yields a bounded score that does not depend on the price level.
- Needing only one bar's open, high, low and close, it can be computed bar by bar with no lookback before any smoothing is applied.
- Reproducible when the formula and data convention are fixed.
Weaknesses and limitations
- A tiny-range bar that closes at its extreme scores the same as a wide-range bar with the same ratio, so the size of the bar is not reflected.
- Raw values jump between the two extremes from bar to bar, so the chosen smoothing period largely decides how the line looks.
- Correlated indicators can create false confidence by repeating the same underlying information.
Editorial and risk note
This page is educational content, not individualized investment advice. It should not imply guaranteed prediction, accuracy or outperformance. Where multiple valid definitions exist, Swoopr states the alternatives and the reason for selecting its primary convention.
Frequently Asked Questions
Is Balance of Power a buy or sell signal?
No. Positive values show the close finished above the open, with larger values meaning the move covered more of the bar's range. It uses only one bar's open and close, so it ignores gaps between bars and where the range was traded. A trade built on it still needs a trigger, an invalidation rule, a position size and realistic execution assumptions.
What is the best setting for Balance of Power?
Balance of Power takes these inputs: open, high, low and close of each bar; optional smoothing period (a moving average such as 14). There is no universal best setting for the tunable ones, so test them across instruments, regimes and out-of-sample periods and favor stable parameter regions over one historical winner.
Can Balance of Power be used by itself?
It uses only one bar's open and close, so it ignores gaps between bars and where the range was traded. When high equals low the ratio is undefined and must be handled separately. For that reason it is read next to measures of direction, participation, valuation, liquidity and risk, not alone.
Does Balance of Power work on every timeframe?
The calculation (BOP = (Close - Open) / (High - Low), commonly smoothed with a moving average) can be run on any bar size, but behavior is not portable: a reading on a five-minute chart describes a very different market window from the same reading on a daily chart. Validate the exact timeframe before relying on it.
Why does Balance of Power give false signals?
A tiny-range bar that closes at its extreme scores the same as a wide-range bar with the same ratio, so the size of the bar is not reflected. Raw values jump between the two extremes from bar to bar, so the chosen smoothing period largely decides how the line looks. Lag, noise and regime changes add to this, because market participants react to new information after the reading is calculated.
How should Balance of Power be backtested?
Rebuild Balance of Power from open, high, low and close of each bar using point-in-time data, write the rules before testing, include delisted securities where relevant, model realistic fills and costs, reserve a validation sample and compare with a simpler baseline.