The Squeeze Play is a volatility setup. It actually begins with an unusual lack of volatility for the market that you are trading. In other words, a market is trading with much less volatility than is usually the case judging by the market's historical data. | |||||||
Bollinger Bands were made famous as a trading tool by John Bollinger in the early 1980s. A Bollinger band tells you the amount of volatility there is a given market relative to the recent past. When a market is very volatile relative to the recent past, the Bollinger band will expand. When a market is going through a period of low volatility relative to the recent past, the Bollinger band will contract. | |||||||
A Bollinger Band consists of three lines that are plotted for each day’s close over the course of time.
Different parameters in the Bollinger Band can be adjusted such as the period of the simple moving average and the number of standard deviations used. Use parameters that are usually the standard default setting. Bollinger Bands: Length 20, Standard Deviation, 2 Now, the statistical term that you don’t commonly hear in normal conversation is “standard deviation.” Understanding this term is the key to understand how a Bollinger Band detects and displays fluctuations in the degree of volatility. In plain English, standard deviation is determined by how far the current closing price deviates from the mean closing price. The formula for computing standard deviation is rather complex and I’m running the risk of oversimplifying (and offending math Phds) but the general concept is that the farther the closing price is from the average closing price the more volatile a market is deemed to be. And vice versa. That is what determines the degree of contraction or expansion of a Bollinger Band. | |||||||
Here’s What’s Missing In Bollinger Bands | |||||||
What Keltner Channels Are…In Plain English | |||||||
Now you can see how this relationship allows us get a clear indication of potential trades stemming from volatility expansions. Happy Trading. |