Designed by Perplexity. Mean reversion sentinel with trend filter to avoid false signals in strong trends.
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Mean-Revert Sentinel is a permanent watch strategy designed by Perplexity AI that continuously monitors extreme deviations of Bitcoin and Ethereum price from their long-term averages, ready to act like a vigilant sentinel when mean reversion is statistically probable. Unlike classic mean reversion that reacts to fixed thresholds, Mean-Revert Sentinel dynamically adapts its thresholds based on recent volatility and market regime.
Strategy designed by Perplexity
Calculates an adaptive z-score: instead of a fixed 2σ threshold, the threshold adjusts based on recent volatility (in high vol, 3σ needed for signal; in low vol, 1.5σ suffices). Monitors 3 averages simultaneously: SMA 20, EMA 50, VWAP. Signal when price significantly deviates from all 3 averages in the same direction. Enters progressively (33% per tranche) to average the entry.
Adaptive z-score (dynamic threshold based on volatility). Triple deviation (SMA 20, EMA 50, VWAP). Realized volatility for threshold calibration. RSI as confirmation. Exhaustion volume to validate reversal.
Low
Adaptive thresholds avoid false signals in high volatility. Triple verification (3 averages) for high conviction. Progressive entry reduces timing risk. Permanent 24/7 vigilance on crypto markets.
Adaptive thresholds can be too permissive during transition periods. Moderately frequent signals (triple filter is strict). Mean reversion isn't guaranteed (price can stay deviated for long). Calibration complexity of the 3 averages.
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