aggregatePrice: Aggregate a time series but keep first and last observation
In R-Finance/RTAQ: RTAQ: Tools for the analysis of trades and quotes in R

Description Usage Arguments Value Details Author(s) Examples

Function returns new time series as xts object where first observation is always the opening price and subsequent observations are the closing prices over the interval with as endpoint the timestamp of the result.

1 2	aggregatePrice(ts,FUN = previoustick,on="minutes",k=1, marketopen,marketclose)

`ts`	xts object to be aggregated, containing the intraday price series of a stock for one day.
`FUN`	function to apply over each interval. By default, previous tick aggregation is done.
`on`	character, indicating the time scale in which "k" is expressed. Possible values are: "secs", "seconds", "mins", "minutes","hours".
`k`	positive integer, indicating the number of periods to aggregate over. E.g. to aggregate a xts object to the 5 minute frequency set k=5 and on="minutes".
`marketopen`	the market opening time, by default: marketopen = "09:30:00".
`marketclose`	the market closing time, by default: marketclose = "16:00:00".

An xts object containing the aggregated time series.

The timestamps of the new time series are the closing times and/or days of the intervals.

In case of previous tick aggregation, for on="seconds"/"minutes"/"hours", the element of the returned series with e.g. timestamp 09:35:00 contains the last observation up to that point, excluding the value at 09:35:00 itself. An exception is marketclose (i.e. 16:00:00 ET by default), where the observation at 16:00:00 is included in the interval, since this is the end of a trading day at the NYSE.

Please input an object containing ONE day of data.

Jonathan Cornelissen and Kris Boudt

#load data
data("sample_tdata");
#aggregate price data to the 30 second frequency
head(sample_tdata$PRICE)
head(aggregatePrice(sample_tdata$PRICE,on="secs",k=30));