Cannot Match Excel Historical Tick Data Using Python

jgomez1
jgomez1 Newcomer
in Eikon Data APIs

Hi

I have the following EXCEL query working just fine:

=RHistory("GGAL.BA";"TRDPRC_1.Timestamp;TRDPRC_1.Value;TRDPRC_1.Volume";"START:29-May-2020 END:29-May-2020 INTERVAL:TICK";;"CH:Fd";B2)

Which returns tick history:

Updated at 09:48:04

TimestampLastTrade Volume29/5/2020 17:0793,1515029/5/2020 17:0793,1510029/5/2020 17:0793,1510029/5/2020 17:0793,1550029/5/2020 16:5993,5178629/5/2020 16:5993,5200029/5/2020 16:5993,5140029/5/2020 16:5993,520


I'm not quite sure on how to get the same data in python. I'm using:

>>> df, err = ek.get_timeseries(
...   rics       = ["GGAL.BA"],
...   fields     = ["TRDPRC_1.Timestamp","TRDPRC_1.Value","TRDPRC_1.Volume"],
...   start_date = "2020-05-29",
...   end_date   = "2020-05-29",
...   interval   = "tick"
...   )

The response is:

EikonError: Error code -1 | GGAL.BA: No data available for the requested date range | 

Thank you in advance

Tagged:

Best Answer

  • Gurpreet
    Gurpreet admin
    Answer ✓

    Your end date is same as start date. Do something like this:

    >>> ek.get_timeseries('GGAL.BA', start_date = "2020-05-28", end_date = "2020-05-29", interval = "tick")
    GGAL.BA                   VALUE  VOLUME
    Date
    2020-05-28 14:00:18.086  106.00    15.0
    2020-05-28 14:00:18.106  106.00    10.0
    2020-05-28 14:00:18.126  106.00    26.0
    2020-05-28 14:00:18.156  106.00     6.0
    2020-05-28 14:00:18.166  106.00    60.0
    2020-05-28 14:00:18.186  106.00     4.0
    2020-05-28 14:00:18.196  106.00     2.0
    2020-05-28 14:00:18.206  106.00    13.0
    2020-05-28 14:00:18.216  106.00     6.0
    2020-05-28 14:00:18.226  106.00    11.0
    2020-05-28 14:00:18.236  106.00     1.0
    2020-05-28 14:00:18.246  106.00    30.0
    2020-05-28 14:00:18.256  106.00    15.0
    2020-05-28 14:00:18.266  106.00     4.0
    2020-05-28 14:00:18.276  106.00    45.0
    2020-05-28 14:00:18.286  106.00    13.0
    2020-05-28 14:00:18.296  106.00    10.0
    2020-05-28 14:00:18.306  106.00    36.0
    2020-05-28 14:00:18.316  106.00     1.0
    2020-05-28 14:00:18.326  106.00    19.0
    2020-05-28 14:00:18.336  106.00    26.0
    2020-05-28 14:00:18.346  106.00    20.0
    2020-05-28 14:00:18.356  106.00     2.0
    2020-05-28 14:00:18.366  106.00    40.0
    2020-05-28 14:00:18.376  106.00  1000.0
    2020-05-28 14:00:18.386  106.00    20.0
    2020-05-28 14:00:18.398  106.00    46.0
    2020-05-28 14:00:18.406  106.00    28.0
    2020-05-28 14:00:18.416  106.00     1.0
    2020-05-28 14:00:18.426  106.00  1000.0
    ...                         ...     ...
    2020-05-28 19:59:06.492  100.20    35.0
    2020-05-28 19:59:06.494  100.20   400.0
    2020-05-28 19:59:06.502  100.15    31.0
    2020-05-28 19:59:06.502  100.10    50.0
    2020-05-28 19:59:06.512  100.05   100.0
    2020-05-28 19:59:06.514  100.00    40.0
    2020-05-28 19:59:06.523  100.00   100.0
    2020-05-28 19:59:06.602  100.00   100.0
    2020-05-28 19:59:06.612  100.00   244.0
    2020-05-28 19:59:14.042  100.20   100.0
    2020-05-28 19:59:14.050  100.00   229.0
    2020-05-28 19:59:14.502  100.25  1997.0
    2020-05-28 19:59:14.510  100.25    25.0
    2020-05-28 19:59:14.512  100.25  3000.0
    2020-05-28 19:59:14.520  100.30    50.0
    2020-05-28 19:59:14.550  100.30  1730.0
    2020-05-28 19:59:21.289  100.30    78.0
    2020-05-28 19:59:28.217  100.30   490.0
    2020-05-28 19:59:28.439  100.25   173.0
    2020-05-28 19:59:31.947  100.30    70.0
    2020-05-28 19:59:36.789  100.30  2632.0
    2020-05-28 19:59:36.797  100.30   700.0
    2020-05-28 19:59:39.530  100.30  1668.0
    2020-05-28 19:59:39.546  100.30  3000.0
    2020-05-28 19:59:39.560  100.30  5332.0
    2020-05-28 19:59:50.353  100.35   100.0
    2020-05-28 19:59:54.114  100.35   100.0
    2020-05-28 19:59:54.123  100.30   900.0
    2020-05-28 19:59:57.154  100.55   369.0
    2020-05-28 19:59:57.164  100.55  1731.0

    [6143 rows x 2 columns]

Answers

Categories