Building Adaptive Fibonacci Volatility Bands from Smoothed ATR

Summary

This article explains an MQL5 indicator that plots Fibonacci-scaled volatility bands around a smoothed price line. It uses a smoothed ATR as the volatility measure, so the distance between the center and each band grows or shrinks with changing market conditions. Fibonacci ratios set multiple band distances, and the indicator displays upper and lower levels with filled outer zones.

The implementation outline covers indicator buffers and plots, ATR data handling, initialization and smoothing of ATR and price, and recalculation of bands. Worked examples show how selected ratios transform a sample ATR into band distances and project those distances around a sample center price. The article presents the bands as a way to visualize volatility zones and possible support or resistance, but it does not provide trading rules, historical performance tests, or evidence that band touches predict reversals. It is a coding and indicator-construction guide, so the usefulness of any signal derived from it would need separate evaluation.

Key ideas

• The indicator centers its bands on a smoothed price series.
• Smoothed ATR determines the volatility unit used to scale each band.
• Fibonacci ratios create multiple adaptive levels above and below the center.
• The MQL5 design uses buffers and filled plots to display the levels and outer zones.
• The article demonstrates construction but does not test the bands as a profitable strategy.

Tags

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