Moving-Average Deviation Signals for Liquidity Exhaustion Reversals

Summary

This strategy looks for reversals after extreme price moves away from a blended moving-average reference. It averages a 15-period simple moving average and a 30-period exponential moving average, measures percentage deviation from that line, and tracks the highest and lowest deviation over 89 periods. The described long entry follows three consecutive signals at negative deviation extremes. Exits are triggered by a rebound toward the reference, an opposite-side exhaustion signal, or a trailing stop based on twice the 14-period ATR. A published setup identifies daily ETH/USDT data, but no performance results are provided.

The document frames these signals as possible signs of liquidity exhaustion, though the calculations shown use price deviation rather than direct order-book or volume measures. It warns about false signals in sideways markets, slippage during extreme moves, and sensitivity to parameter choices. The source’s trailing-stop condition compares price with a stop computed from the same close, which may not behave as a conventional trailing stop. Robustness and execution costs therefore remain unestablished.

Key ideas

• The method measures price deviation from the average of a simple and an exponential moving average.
• It identifies recent positive and negative deviation extremes using a rolling lookback.
• A long entry requires three consecutive long-side extreme signals.
• Exits use a rebound threshold, an opposite signal, or an ATR-based stop condition.
• The daily ETH/USDT setup has no reported performance statistics, and execution behavior needs scrutiny.

Tags

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