Historical FX tick data in python?
Is there a way to get historical FX (forex) tick data using Refinitiv APIs using Python?
I tried the below and only got NAs:
df2 = ek.get_timeseries(rics = "GBP=",
fields = ['BID', 'ASK'],
interval="tick",
# count=2000,
start_date="2022-05-19",
end_date="2022-05-20") # start_date="2022-05-19T10:00:00", end_date="2022-05-19T10:00:00"
0
Best Answer
-
The get_timeseries method support the 'TIMESTAMP', 'VALUE', 'VOLUME', 'HIGH', 'LOW', 'OPEN', 'CLOSE', 'COUNT' fields. Therefore, the code looks like this.
df2 = ek.get_timeseries(rics = "GBP=",
interval="tick",
# count=2000,
start_date="2022-05-19",
end_date="2022-05-20")
df2The output is limited to 50,000 data points for intraday intervals.
Another option is using Refinitiv Data Library for Python. The code looks like:
response = historical_pricing.events.Definition("GBP=", fields=['BID','ASK']).get_data()
response.data.dfThe output is:
1
Answers
-
hi @Jirapongse
Is there a way to get historical values at specific times (hours or min.)? Eg
start_date="2022-05-19 13:01", end_date="2022-05-19 13:04"
?
0 -
You need to use this format (%Y-%m-%dT%H:%M:%S).
start_date: string or datetime.datetime or datetime.timedelta
Starting date and time of the historical range.
string format is: '%Y-%m-%dT%H:%M:%S'. e.g. '2016-01-20T15:04:05'.
datetime.timedelta is negative number of day relative to datetime.now().
Default: datetime.now() + timedelta(-100)
You can use the helper function get_date_from_today, please see the usage in the examples section
end_date: string or datetime.datetime or datetime.timedelta
End date and time of the historical range.
string format could be
- '%Y-%m-%d' (e.g. '2017-01-20')
- '%Y-%m-%dT%H:%M:%S' (e.g. '2017-01-20T15:04:05')
datetime.timedelta is negative number of day relative to datetime.now().
Default: datetime.now()
You can use the helper function get_date_from_today, please see the usage in the examples section1
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