Direct Answer

William Blau's SMI measures where the close sits relative to the midpoint of the recent high-low range rather than relative to the low. The distance and the range are both double-smoothed, giving a value from -100 to +100. Positive values mean the close is above the range midpoint and negative values below it.

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Stochastic Momentum Index: Formula, Meaning, Signals, Examples and How to Use It

How Is Stochastic Momentum Index Calculated?

William Blau's SMI measures where the close sits relative to the midpoint of the recent high-low range rather than relative to the low. The distance and the range are both double-smoothed, giving a value from -100 to +100.

Formula: SMI = 100 * EMA(EMA(Close - (HH + LL)/2, a), b) / (0.5 * EMA(EMA(HH - LL, a), b)), with HH and LL the highest high and lowest low over n bars

Inputs:

Worked example. With a smoothed distance from the midpoint of 6 and a smoothed range of 20, the SMI is 60.0. The inputs are illustrative numbers, not market data.

Reading it. Positive values mean the close is above the range midpoint and negative values below it. Readings near +100 or -100 mean the close is at the top or bottom of the range. Overbought and oversold levels are chosen by users.

Limits. Double smoothing makes it smoother than the ordinary stochastic but slower to react. The values depend on three parameters, and extreme readings can persist in a strong trend.

What is Stochastic Momentum Index?

William Blau's SMI measures where the close sits relative to the midpoint of the recent high-low range rather than relative to the low. The distance and the range are both double-smoothed, giving a value from -100 to +100.

How to use Stochastic Momentum Index

Positive values mean the close is above the range midpoint and negative values below it. Readings near +100 or -100 mean the close is at the top or bottom of the range. Overbought and oversold levels are chosen by users. A reading alone is never a buy or sell signal; it needs context from price structure, volume, volatility and the broader market regime.

Strengths

Weaknesses and limitations

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 Stochastic Momentum Index a buy or sell signal?

No. Positive values mean the close is above the range midpoint and negative values below it. Double smoothing makes it smoother than the ordinary stochastic but slower to react. 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 Stochastic Momentum Index?

Stochastic Momentum Index takes these inputs: high, low and close prices; lookback n for the high-low range; two smoothing periods a and b. 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 Stochastic Momentum Index be used by itself?

Double smoothing makes it smoother than the ordinary stochastic but slower to react. The values depend on three parameters, and extreme readings can persist in a strong trend. For that reason it is read next to measures of direction, participation, valuation, liquidity and risk, not alone.

Does Stochastic Momentum Index work on every timeframe?

The calculation (SMI = 100 * EMA(EMA(Close - (HH + LL)/2, a), b) / (0.5 * EMA(EMA(HH - LL, a), b)), with HH and LL the highest high and lowest low over n bars) 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 Stochastic Momentum Index give false signals?

The reference is the n-bar midpoint, so the reading cannot show where price sits against a longer range than the chosen window. Fixed overbought and oversold lines drawn near the edges are user conventions, not outputs of the formula. Lag, noise and regime changes add to this, because market participants react to new information after the reading is calculated.

How should Stochastic Momentum Index be backtested?

Rebuild Stochastic Momentum Index from high, low and close prices 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.

Swoopr Editorial Team

The Swoopr Editorial Team produces independent investment education, research, and tools for understanding markets, evaluating opportunities, and managing risk. All content is educational only and does not constitute personalized investment advice.

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