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Volatility Bands Percent and Critiques of Bollinger Bands

Article MQL5 code base

Summary

The document introduces a percent-based volatility bands indicator, referring to a proposal by David Rooke. It first characterizes Bollinger Bands as a simple moving average surrounded by bands set at multiples of price standard deviation. It then highlights three concerns: lag from the moving average, poor correspondence between observed price positions and Gaussian probability expectations, and a price-to-band relationship that changes across timescales. The proposed percent representation places the price’s position within the bands in a separate indicator window rather than overlaying the bands on the price chart.

This is a brief description, not a complete specification of the proposed calculation. It does not explain how the percent value is computed, give parameter choices, compare results with standard Bollinger Bands, or provide backtests. The statistical critique is asserted without supporting data in the document, and normality of prices is a contested premise. Readers would need the cited article or independent analysis to assess the method’s construction and practical value.

Key ideas

  • Standard Bollinger Bands use a simple moving average and price standard deviation.
  • The document criticizes their lag and questions their probabilistic interpretation.
  • It says the relationship between price and band position varies across timescales.
  • The proposed alternative displays price position as a percent in a separate indicator window.
  • The document omits the calculation details and supplies no comparative performance evidence.

Tags

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