The Fractal Adaptive Volatility Bands.

Coding the Fractal Adaptive Volatility Bands in Python.

The great Bollinger Bands are one of the first things we must learn when analyzing time series. This is because of their sound statistical reasoning, their wide adoption across market participants, and their success when deployed in trading strategies. We can also see other variations that resemble the bands in an attempt to enhance it. This article will discuss the Fractal Adaptive Volatility Bands, a type of Bands indicator based on a special type of moving averages.

I have just released a new book after the success of my previous one “The Book of Trading Strategies”. It features advanced trend-following indicators and strategies with a GitHub page dedicated to the continuously updated code. Also, this book features the original colors after having optimized for printing costs. If you feel that this interests you, feel free to visit the below Amazon link, or if you prefer to buy the PDF version, you could contact me on LinkedIn.

Moving averages help us confirm and ride the trend. They are the most known technical indicator and this is because of their simplicity and their proven track record of adding value to the analyses. We can use them to find support and resistance levels, stops and targets, and to understand the underlying trend. This versatility makes them an indispensable tool in our trading arsenal.

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