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SMI Ergodic Momentum Signals from Oscillator Thresholds

Article Strategy library · Author: ChaoZhang

Summary

This momentum system derives a normalized measure from smoothed price changes and compares it with an exponential moving average signal line. The source logic enters long when the smoothed oscillator rises above an upper threshold and short when it falls below a lower threshold; a reverse-trading option can swap those directions. The accompanying explanation also discusses zero-line and signal-line crosses as ways to interpret momentum shifts.

The document lists configurable fast, slow, and smoothing periods and describes a BTC/USDT futures backtest over one month, but gives no performance statistics. It characterizes the approach as responsive and potentially frequent trading, while noting that ranging conditions, short-period noise, poor parameter choices, and absence of a higher-level trend filter can produce losses or excessive trades. It recommends testing parameter choices, adding trend and stop controls, and evaluating the method across markets.

Key ideas

  • The oscillator is formed by smoothing price changes and normalizing them by smoothed absolute changes.
  • An EMA of the oscillator acts as a signal line, while the source trades when the smoothed value passes upper or lower thresholds.
  • A reverse option switches long and short signals.
  • The listed test covers BTC/USDT futures for one month and reports no quantified results.
  • Choppy markets, parameter sensitivity, frequent signals, and missing higher-timeframe filters are identified limitations.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.