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SMI and EMA Crossover Signals for Momentum Trading

Article Strategy library · Author: ChaoZhang

Summary

This strategy uses the Stochastics Momentum Index (SMI), an oscillator measuring the close relative to the midpoint of a recent high-low range. It smooths the relative price displacement and range, then compares the SMI signal series with an EMA. A cross above the EMA generates a long entry, and a cross below generates a short entry. Overbought and oversold levels are displayed as context for extreme readings.

The document explains that smoothing may reduce noise, but it does not present measured results demonstrating improved reliability. The published backtest configuration concerns BTC/USDT futures over a stated period, yet no returns, drawdowns, or other results are reported. The described strategy relies on a single indicator and has no explicit stop-loss rule; choppy conditions may cause repeated signals and costs. Suggested safeguards include parameter testing, signal filters, stop-loss and position-management rules, or combining SMI with other information.

Key ideas

  • SMI expresses the close's position relative to a recent high-low range.
  • A cross of the SMI signal series above its EMA opens a long, while a cross below opens a short.
  • Overbought and oversold thresholds mark extreme readings but are not themselves the stated entry triggers.
  • The strategy has no explicit stop loss, and frequent signals in sideways markets may raise trading costs.
  • The document gives a BTC/USDT futures test setup but reports no outcome statistics.

Tags

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