Direct Answer
Typical price is the average of a bar's high, low and close. It summarizes the bar in one number and is the price input for indicators such as VWAP, the commodity channel index and the money flow index. It tends to sit closer to the middle of the bar's range than the close does.
Typical Price: Formula, Meaning, Signals, Examples and How to Use It
How Is Typical Price Calculated?
Typical price is the average of a bar's high, low and close. It summarizes the bar in one number and is the price input for indicators such as VWAP, the commodity channel index and the money flow index.
Formula: Typical price = (high + low + close) / 3
Inputs:
- High
- Low
- Close of each bar
Worked example. A bar with a high of 105, low of 97 and close of 100 has a typical price of 100.67. The inputs are illustrative numbers, not market data.
Reading it. It tends to sit closer to the middle of the bar's range than the close does. Using it as an input smooths out some of the noise in the closing print.
Limits. Equal weighting of the high, low and close is a convention and ignores the open and volume. It is not the price at which most volume traded.
What is Typical Price?
Typical price is the average of a bar's high, low and close. It summarizes the bar in one number and is the price input for indicators such as VWAP, the commodity channel index and the money flow index.
How to use Typical Price
It tends to sit closer to the middle of the bar's range than the close does. Using it as an input smooths out some of the noise in the closing print. A reading alone is never a buy or sell signal; it needs context from price structure, volume, volatility and the broader market regime.
Strengths
- Averaging high, low and close makes the value depend on where the bar settled as well as its span, with the close given a third.
- Because several volume-based indicators take it as input, one consistent definition feeds VWAP, money flow and channel index calculations.
- Reproducible when the formula and data convention are fixed.
Weaknesses and limitations
- A large wick moves the value by a third of its length, so extreme highs and lows propagate straight into every dependent indicator.
- The value need not match any price that traded, so it can land at a level where no transaction ever occurred.
- 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.
Frequently Asked Questions
Is Typical Price a buy or sell signal?
No. It tends to sit closer to the middle of the bar's range than the close does. Equal weighting of the high, low and close is a convention and ignores the open and volume. 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 Typical Price?
Typical Price takes these inputs: high; low; close of each bar. 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 Typical Price be used by itself?
Equal weighting of the high, low and close is a convention and ignores the open and volume. It is not the price at which most volume traded. For that reason it is read next to measures of direction, participation, valuation, liquidity and risk, not alone.
Does Typical Price work on every timeframe?
The calculation (Typical price = (high + low + close) / 3) 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 Typical Price give false signals?
A large wick moves the value by a third of its length, so extreme highs and lows propagate straight into every dependent indicator. The value need not match any price that traded, so it can land at a level where no transaction ever occurred. Lag, noise and regime changes add to this, because market participants react to new information after the reading is calculated.
How should Typical Price be backtested?
Rebuild Typical Price from high 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.