visExpSmoothing: Using the trend of the stock by using exponential smoothing...

In UBC-MDS/stockAnalyzer: Provide Basic Time Series Modelling Functionalities to Analyze Historical Stock Prices

Description

Using the trend of the stock by using exponential smoothing method

Usage

visExpSmoothing(data, alpha, name)

Arguments

data	xts a time series object
alpha	A numeric vector of the smoothing parameter which defines the weighting. It should be between 0 and 1
name	a character vector of the name of the column to be used in moving average calculation

Value

ggplot line plot of specific stock's historical prices and exponentially smoothed prices

Examples

quantmod::getSymbols("AAPL")
visES_AAPL <- visExpSmoothing(AAPL, 0.3, 'AAPL.Close')

UBC-MDS/stockAnalyzer documentation built on March 21, 2021, 7:14 p.m.