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FinancialInstrument (version 1.3.1)

to_secBATV: Convert tick data to one-second data

Description

This is like taking a snapshot of the market at the end of every second, except the volume over the second is summed.

Usage

to_secBATV(x)

alltick2sec(getdir = "~/TRTH/tick/", savedir = "~/TRTH/sec/", Symbols = list.files(getdir), overwrite = FALSE)

Arguments

x

the xts series to convert to 1 minute BATV

getdir

Directory that contains tick data

savedir

Directory in which to save converted data

Symbols

String names of instruments to convert

overwrite

TRUE/FALSE. If file already exists in savedir, should it be overwritten?

Value

to_secBATV returns an xts object of one second frequency. alltick2sec returns a list of files that were converted.

Details

From tick data with columns: “Price”, “Volume”, “Bid.Price”, “Bid.Size”, “Ask.Price”, “Ask.Size”, to data of one second frequency with columns “Bid.Price”, “Bid.Size”, “Ask.Price”, “Ask.Size”, “Trade.Price”, and “Volume”

The primary purpose of these functions is to reduce the amount of data on disk so that it will take less time to load the data into memory.

If there are no trades or bid/ask price updates in a given second, we will not make a row for that timestamp. If there were no trades, but the bid or ask price changed, then we _will_ have a row but the Volume and Trade.Price will be NA.

If there are multiple trades in the same second, Volume will be the sum of the volume, but only the last trade price in that second will be printed. Similarly, if there is a trade, and then later in the same second, there is a bid/ask update, the last Bid/Ask Price/Size will be used.

alltick2sec is used to convert the data of several files from tick to one second frequency data.

Examples

Run this code
# NOT RUN {
getSymbols("CLU1")
system.time(xsec <- to_secBATV(CLU1))
convert.log <- alltick2sec()
# }

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