aggregateTrades | R Documentation |
data.table
or xts
object containing trades data´Aggregate tick-by-tick trade data and return a time series as a data.table
or xts
object where first observation is always the opening price
and subsequent observations are the closing prices over the interval. This function accepts arbitrary number of symbols over an arbitrary number of days.
aggregateTrades(
tData,
alignBy = "minutes",
alignPeriod = 5,
marketOpen = "09:30:00",
marketClose = "16:00:00",
tz = NULL
)
tData |
|
alignBy |
character, indicating the time scale in which |
alignPeriod |
positive numeric, indicating the number of periods to aggregate over. For example, to aggregate
based on a 5 minute frequency, set |
marketOpen |
the market opening time, by default: |
marketClose |
the market closing time, by default: |
tz |
fallback time zone used in case we we are unable to identify the timezone of the data, by default: |
The time stamps of the new time series are the closing times and/or days of the intervals.
The output "PRICE"
column is constructed using previous tick aggregation.
The variable "SIZE"
is aggregated by taking the sum over each interval.
The variable "VWPRICE"
is the aggregated price weighted by volume.
The time stamps of the new time series are the closing times of the intervals.
In case of previous tick aggregation or alignBy = "seconds"/"minutes"/"hours"
,
the element of the returned series with e.g. time stamp 09:35:00 contains
the last observation up to that point, including the value at 09:35:00 itself.
A data.table
or xts
object containing the aggregated time series.
Jonathan Cornelissen, Kris Boudt, Onno Kleen, and Emil Sjoerup.
# Aggregate trade data to 5 minute frequency
tDataAggregated <- aggregateTrades(sampleTData, alignBy = "minutes", alignPeriod = 5)
tDataAggregated
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