Threshold Trading with Extreme-Value Historical Volatility

Summary

This strategy estimates historical volatility from rolling extremes in closing and intraday prices, scaled by a time factor. It compares the resulting measure with upper and lower thresholds: a reading above the upper band sets a long position, while one below the lower band sets a short position. Between the thresholds, it carries forward the prior position; an option can reverse the direction. The supplied parameters specify a 30-period lookback and separate upper and lower bands, and the published test configuration uses daily BTC/USDT futures bars over roughly a year.

The document presents the method as a way to react to volatility changes, but includes no reported backtest performance or evidence that the signals capture reversals reliably. Its claims that the calculation is stable and less sensitive to extremes are not supported with comparisons. The write-up acknowledges that historical volatility can lag sudden events and turning points, and suggests shorter lookbacks, added filters, stop losses, and volatility-based position sizing as possible refinements. These are proposals rather than evaluated results.

Key ideas

• The volatility estimate combines rolling close and high-low extremes with a time scaling factor.
• Crossing the upper or lower threshold sets a directional position, which persists between the bands.
• A reverse setting can invert the direction of the threshold signals.
• The source describes lag and slow reactions to sudden events as risks of historical volatility signals.
• The published configuration gives no performance results to establish the method's effectiveness.

Tags

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