to.minutes using custom endpoints

前端 未结 2 2114
一生所求
一生所求 2021-02-10 13:05

I am using intra-day data that starts at 9:50am and would like to convert it into 20 minute time intervals so the first period would be from 09:50 to 10:09:59 and the second tim

2条回答
  •  予麋鹿
    予麋鹿 (楼主)
    2021-02-10 13:32

    I had a similar challenge recently (splitting FX data by the 5pm day start). Starting with your test data:

    library(xts)
    set.seed(42)
    x <- xts(rnorm(24*60*60), as.POSIXct(format(paste(Sys.Date(),'09:50')))-((24*60*60):1))
    

    Move it back 10 minutes, do the split, then move the split data forward 10 minutes:

    offset <- 600
    index(x) <- index(x) - offset
    x1 <- to.minutes(x, 20)
    index(x1) <- index(x1) + offset
    

    (NB. this corrupts x; either work on a copy or also do index(x) <- index(x) + offset afterwards). x1 looks like:

                            x.Open   x.High     x.Low    x.Close
    2012-10-06 10:09:59  1.3709584 3.495304 -3.371739  0.4408241
    2012-10-06 10:29:59 -0.7465165 3.584659 -2.828475  0.5938161
    2012-10-06 10:49:59  1.3275046 3.174520 -3.199558 -0.6273660
    ...
    2012-10-07 09:09:59 -0.83742490 3.103466 -3.251721 -1.093380
    2012-10-07 09:29:59 -0.48464537 3.228048 -3.113351 -1.572931
    2012-10-07 09:49:59  1.90503697 3.420940 -3.505207  2.832325
    

    The magic number of 600 came because your last tick was 600 seconds from the previous 20 minute boundary. Here is how you calculate it dynamically:

    offset <- ( as.integer(last(index(x))) %% 1200 ) + 1
    

    as.integer converts the time of the last tick into secs-since-1970 form. (Use as.numeric if you have milliseconds in your timestamps.) %%1200 rounds down to a 20 minute boundary. Finally, the +1 is because to.minutes treats XX:XX:00 as the start of one bar, not the end of the previous bar.

提交回复
热议问题