Hello,
I attach the sample data in the email and you can use the data to try my code.
My code is as follow.
library('highfrequency')
library('xts')
data=read.table("sample data.csv",header=F,skip =
1,stringsAsFactors=FALSE,sep="\t")
colnames(data)=c(" ",'SYMBOL',"PRICE","PERMNO")
id <- unique(da
Is there any way to analyse high frequency data in R like
cleaning,manipulation and volatility etc.I know there are packages like
RTAQ and Realized for analysing high frequency data but they are only valid
for NYSE stocks and have well defined data format.
Please help.
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