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Stochastic Momentum Index

16/01/2026
Desktop



Stochastic Momentum Index (SMI) is a refined stochastic oscillator designed to measure momentum more smoothly than a classic Stochastic. This cTrader implementation matches the commonly used TradingView formulation by applying double EMA smoothing to both the relative range and the high–low range, producing a clean, stable momentum curve that works well across trending and ranging conditions.
What it shows
- The SMI measures where the close sits relative to the midpoint of the recent high–low range, normalized and scaled.
- Values tend to oscillate between -100 and +100.
- Overbought/oversold reference levels (default +40 / -40) help identify stretched conditions and momentum extremes.
Plots
- SMI: the main momentum line.
- SMI-based EMA: a signal line (EMA of SMI) for crossovers and confirmation.
- Overbought / Oversold / Middle (0) levels for quick visual context.
How traders use it
- Trend regimes: Use the 0-line as a directional filter (above 0 = bullish pressure, below 0 = bearish pressure) and trade pullbacks via SMI vs signal-line crossovers in the direction of the trend.
- Mean-reversion regimes: Fade extremes when SMI returns from overbought/oversold and confirms with a crossover, often targeting the 0-line as the first mean-reversion objective.
- Divergences: Momentum divergence between price and SMI can highlight potential weakening swings.
Multi-timeframe option
- Select a Source Timeframe to calculate SMI from a higher timeframe while displaying it on the current chart (ideal for filtering noise and improving signal quality).
- Or enable Use Chart Timeframe to keep calculations on the current timeframe.
Inputs
- %K Length: lookback window for highest high / lowest low.
- %D Length: smoothing length used in the double-EMA calculation.
- EMA Length: signal line length (EMA of SMI).
- Overbought / Oversold: reference levels.
- Use Chart Timeframe / Source Timeframe: optional higher-timeframe calculation.
This indicator is built to be lightweight, stable, and practical for real trading workflows—whether you trade trend continuation, ranges, or use SMI as a confirmation filter within a broader strategy.
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