Bollinger, John

John Bollinger is the president and founder of Bollinger Capital Management, an investmentmanagement company that provides technically-driven money management services, and develops and provides proprietary research for institutions and individuals. He personally governs all investment decisions for Bollinger Capital Management clients.

John Bollinger is a Chartered Financial Analyst (CFA) and a Chartered Market Technician (CMT). He is known to the public for his many years of market analysis and commentary on television — first on Financial News Network, where he was the Chief Market Analyst — and subsequently on CNBC.

John Bollinger is also well known to professional investors. An avid researcher, he has developed a number of widely used investment tools and analytical techniques.

He created Bollinger Bands in the early ‘80s. Today traders and investors use Bollinger Bands as a reliable tool for assessing expected price action and Bollinger Bands are featured on most financial charting software and platforms. His book, “Bollinger on Bollinger Bands” has been translated into twelve languages. He has developed several investor websites:,, and a forex website,

John Bollinger, CFA, CMT, will presents on active versus passive indexing titled - Indexing for Technicians: Or how I stopped worrying and learned to love indexing.  Indexing is a form of technical analysis.

In his two-part talk John Bollinger will first compare and contrast the benefits and weaknesses of two conceptually different approaches to generating trading system ideas, first principles and search. In the second part of his talk he will present SystemView, a new open-source software project written in Python. SystemView visualizes trading-system data and is especially useful for understanding system-performance dynamics where the data may not be normally distributed, making traditional system performance summary statistics moot.

John Bollinger, CFA, CMT, will present his latest Bollinger Band indicators, address the idea of how to create indicators, and discuss the Swiss Army Knife of technical indicators, Stochastics. Finally, if time allows, John will talk a bit about indicator testing making use of synthetic data.