Stochastic Oscillator Signals with a Moving-Average Trend Filter

Summary

This strategy combines the Stochastic Oscillator, a simple moving average, and price–oscillator divergence. Its standard entries use a %K/%D crossover in an oversold or overbought zone, with price above or below a 50-period moving average as a trend filter. The document also describes divergence signals based on price and oscillator movements across a five-period window. The example settings use Stochastic lengths of 14, 3, and 3, thresholds of 20 and 80, and an ETH/USDT futures backtest configuration spanning about a year on two-day bars.

The text recommends the framework as a way to combine momentum, trend, and reversal cues, but provides no performance metrics to demonstrate an advantage. It notes that ranging markets can cause repeated signals, moving averages lag, divergence detection is simplified, and explicit stop-loss and take-profit rules are absent. The source’s divergence checks are elementary comparisons of recent highs or lows and the current oscillator change; divergence entries bypass the trend filter. The source also contains no explicit exit orders, which limits what can be inferred about the tested strategy’s risk or trade outcomes.

Key ideas

• Stochastic crossovers in extreme zones provide the described entry signals.
• A 50-period simple moving average filters the standard entries by trend direction.
• The source uses simple five-period comparisons to trigger divergence entries.
• Divergence entries bypass the moving-average filter, and explicit exit orders are absent.
• The backtest configuration does not report performance results.

Tags

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