bollinger

Time series Bollinger band

bollinger has been partially removed and will no longer accept a fints object (tsobj) argument. Use a matrix, timetable, or table instead for financial time series.

Use fts2timetable to convert a fints object to a timetable object.

Syntax

[middle,upper,lower] = bollinger(Data)

[middle,upper,lower] = bollinger(___,Name,Value)

Description

[middle,upper,lower] = bollinger(Data) calculates the middle, upper, and lower bands that make up the Bollinger bands from a series of data. A Bollinger band chart plots actual asset data along with three other bands of data: the upper band that is two standard deviations above a user-specified moving average; the lower band that is two standard deviations below that moving average; and the middle band that is the moving average itself.

[middle,upper,lower] = bollinger(___,Name,Value) adds optional name-value pair arguments.

Examples

Calculate the Bollinger Bands for a Data Series for a Stock

Load the file SimulatedStock.mat, which provides a timetable (TMW) for financial data for TMW stock.

load SimulatedStock.mat
[middle,upper,lower]= bollinger(TMW);
CloseBolling = [middle.Close, upper.Close,... 
lower.Close];
plot(middle.Time,CloseBolling)
title('Bollinger Bands for TMW Closing Prices')

Input Arguments

Data — Data for market prices

matrix | table | timetable

Data for market prices, specified as a matrix, table, or timetable. For matrix input, Data must be column-oriented.

Data Types: double | table | timetable

Name-Value Pair Arguments

Specify optional comma-separated pairs of Name,Value arguments. Name is the argument name and Value is the corresponding value. Name must appear inside quotes. You can specify several name and value pair arguments in any order as Name1,Value1,...,NameN,ValueN.

Example: [middle,upper,lower] = bollinger(TMW_CLOSE,'WindowSize',10,'Type',1)

'WindowSize' — Number of observations of input series to include in moving average in periods

10 (default) | positive integer

Number of observations of the input series to include in the moving average in periods, specified as the comma-separated pair consisting of 'WindowSize' and a scalar positive integer.

Data Types: double

'Type' — Type of moving average to compute

0 (simple) (default) | integer with value 0 or 1

Type of moving average to compute, specified as the comma-separated pair consisting of 'Type' and a scalar integer with a value of 0 (simple) or 1 (linear).

Data Types: double

'NumStd' — Number of standard deviations for the upper and lower bounds

2 (default) | positive integer

Number of standard deviations for the upper and lower bounds, specified as the comma-separated pair consisting of 'NumStd' and a scalar positive integer.

Data Types: double

Output Arguments

middle — Moving average series representing the middle band

matrix | table | timetable

Moving average series representing the middle band, returned with the same number of rows (M) and the same type (matrix, table, or timetable) as the input Data.

upper — Moving average series representing the upper band

matrix | table | timetable

Moving average series representing the upper band, returned with the same number of rows (M) and the same type (matrix, table, or timetable) as the input Data.

lower — Moving average series representing the lower band

matrix | table | timetable

Moving average series representing the lower band, returned with the same number of rows (M) and the same type (matrix, table, or timetable) as the input Data.

References

[1] Achelis, S. B. Technical Analysis from A to Z. Second Edition. McGraw-Hill, 1995, pp. 72–74.