Stochastic Crossovers with SMA Filters and Per-Position Stops

Summary

This document describes a two-way trading strategy that combines Stochastic crossovers with a 50-period simple moving average filter. A %K cross above %D can trigger a long when price is below the SMA low; a cross below %D can trigger a short when price is above the SMA high. In one-way mode, an opposite signal closes the current position before opening the other side. Hedge mode can add an opposite position instead. The source parameters also include Stochastic thresholds, hedge spacing, and position multipliers.

The strategy describes percentage-based stop-loss and take-profit settings, as well as a profit target based on open P&L in hedge mode. However, the prose calls these exits random without explaining a randomization method, and the supplied source is truncated, so the full order logic cannot be assessed. The published backtest settings specify BTC_USDT futures over a short period, but no performance results are provided. The document warns that false signals, poorly chosen exits, and delayed risk control in hedge mode can increase losses; its claims of accuracy and risk control are not supported by reported test results.

Key ideas

• Stochastic %K and %D crossovers provide the directional signals.
• The SMA high and low lines filter entries according to price location.
• One-way mode reverses positions on opposite signals, while hedge mode can retain both sides.
• The document describes percentage exits and hedge-mode profit targets but does not show a clear random stop-setting method.
• The published backtest configuration supplies no performance statistics.

Tags

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