Discussing the article: "Building an Adaptive Fibonacci Volatility Band Indicator in MQL5"
This is actually a very clean and pretty good work.
But we've been there with adaptive indicators back in mid 2000s.
Here's the missing piece - you will need to test the statistical significance of those levels against naive levels, for instance. I guess you work with AIs, so it should be easier. Personally I've made an attempt to do this before, but did not get any magic levels that worked better than others. Also this depends on the volat8lity and market regime and timeframe. The methodology can be quite different there as well.
Best luck in your work!
Check out the new article: Building an Adaptive Fibonacci Volatility Band Indicator in MQL5.
We build an adaptive Fibonacci volatility band indicator in MQL5 that centers on a smoothed price (SMMA) and scales band width with a smoothed ATR. The article covers inputs, buffer mapping, ATR handling, and SMMA formulas, then projects configurable Fibonacci ratios with filled zones. Readers get a ready workflow for visualizing volatility expansion/contraction and outlining dynamic support and resistance.
In this project, we will develop a custom adaptive Fibonacci volatility band indicator that adjusts its band width according to changing market volatility. Rather than using fixed distances from a central price line, the indicator combines a Smoothed Moving Average (SMMA) of price with a smoothed Average True Range (ATR) to create dynamic upper and lower bands. Fibonacci ratios are then applied to the smoothed ATR values, allowing the bands to expand and contract automatically as market conditions change.
To improve the interpretation chart, the indicator displays multiple Fibonacci band levels around the smoothed price. It also fills the outer-band zones. These components provide a clear visual representation of changing market volatility and dynamic price boundaries, making the indicator useful for identifying potential support and resistance zones, monitoring price expansion, and serving as a foundation for further indicator and strategy development.
Author: ALGOYIN LTD