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SuperTrend and Stochastic Crossovers for Trend Following

Article Strategy library · Author: ianzeng123

Summary

This strategy combines an ATR-based SuperTrend direction filter with Stochastic Oscillator thresholds. It enters long when the SuperTrend indicates an uptrend and %K crosses above the oversold level; it enters short when the indicator indicates a downtrend and %K crosses below the overbought level. Positions close when the trend reverses or %K crosses the opposite threshold. The documented defaults are an ATR length of 10 with factor 3, and Stochastic lengths of 14 for %K and 3 for %D, with levels at 20 and 80.

The document gives rules and parameter settings rather than reported performance results. Its published backtest configuration uses BTC/USDT on Binance over a stated date range and two-day periods, but no returns or other evaluation metrics are included. It identifies sideways markets, indicator lag, parameter sensitivity, and conflicting signals as limitations. Suggested refinements include volatility and time filters, trailing stops, and testing parameter choices; these are proposals rather than demonstrated improvements.

Key ideas

  • SuperTrend provides the directional filter, while Stochastic threshold crossovers time entries.
  • Long entries require an uptrend and an upward cross of the oversold level; short entries require the converse conditions.
  • Exits occur on a SuperTrend reversal or a Stochastic cross of the opposite threshold.
  • The document warns that choppy markets, lag, and parameter choices can undermine signals.

Tags

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