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Multi-Timeframe Parabolic SAR and Stochastic Signal Confluence

Article Strategy library · Author: ChaoZhang

Summary

This strategy combines Parabolic SAR, a Stochastic Oscillator, and a higher-timeframe price comparison to generate long or short entries. It requires all three components to agree: the Stochastic K value must be below 20 for a long or above 80 for a short, while a higher-timeframe close/open crossover supplies a directional condition. The source also compares the current close with the SAR value, although its comparison signs differ from the prose description of bullish and bearish SAR states, making the intended alignment ambiguous.

The document lists indicator settings and published BTC/USDT futures backtest dates from 2023 to 2024, but gives no performance results. It describes parameter sensitivity and disagreements across timeframes as concerns, and proposes adaptive SAR settings, stop losses, and parameter optimization. The source contains no explicit exit, stop-loss, or position-sizing logic, so entries alone do not specify a complete trading system. Its claim that multiple filters eliminate false breakouts is not supported by reported evidence.

Key ideas

  • Long and short entries require agreement among SAR, Stochastic thresholds, and a higher-timeframe close/open crossover.
  • The source's SAR comparison signs conflict with the written description of bullish and bearish states.
  • Published settings and backtest dates are given, but no performance results are reported.
  • The source does not specify position exits, stop losses, or position sizing.

Tags

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