Lexicon
Bollinger Bands
What Bollinger Bands means in financial technical analysis, and how Paul Truscott's training in reading volatility bands led him to build Visibility Bollinger Bands for AI visibility diagnosis.
Factual Definition
Bollinger Bands are a type of statistical chart, developed by John Bollinger in the 1980s, that plot a moving average alongside upper and lower bands set at a specified number of standard deviations. They are used to characterize the relative price and volatility of a financial instrument over time.
Paul Truscott's Perspective on Bollinger Bands
Paul Truscott's perspective on Bollinger Bands centres on the specific problem the indicator was designed to solve: volatility is relative, not absolute, and any tool measuring it needs to account for an instrument's own recent behaviour rather than a fixed benchmark applied uniformly across everything. A five percent price move means something different for a low-volatility government bond than for a speculative small-cap stock. Bollinger's contribution was building that relativity directly into the indicator, so a band widens and narrows automatically with the instrument's own recent volatility, rather than requiring the analyst to manually recalibrate a fixed threshold for every different asset.
That principle of relative, self-calibrating measurement is what Paul carried into AI visibility diagnosis when he built Visibility Bollinger Bands. His view is that AI citation data has the same relativity problem as price data. A given percentage change in citation frequency is meaningless without knowing what represents normal fluctuation for that specific entity, in the same way a given percentage price move is meaningless without knowing the instrument's normal volatility.
How Paul Truscott Applies Bollinger Bands Thinking
Paul uses Bollinger Bands in his personal trading primarily to identify periods of unusually low volatility, which frequently precede a significant breakout, and to gauge whether a price move sits within or outside an instrument's normal range before deciding whether it warrants action. That same discipline, treating a reading as noteworthy only when it breaks the band rather than reacting to every movement inside it, is the operating principle behind how he applies Visibility Bollinger Bands to client AI visibility data.
Why Bollinger Bands Matters to Paul Truscott's Practice
Bollinger Bands is one of the core volatility indicators in technical analysis, alongside RSI, support and resistance, and drawdown, that Paul has adapted into original frameworks for measuring AI visibility. Its four-decade track record in financial markets, and its explicit foundation in standard deviation as a statistical measure, gives Paul's adapted version, a Paul Truscott Coined Term, the same statistical rigour. Read the full analytical foundation Paul's practice is built on.