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Hi,
I am trying to get the data for 2019 August contract of Brent Crude oil. The code I have written is:
df, ek = e.get_data('LCOQ9^1',
['TR.SETTLEMENTPRICE .date','TR.SETTLEMENTPRICE '], {'SDate':'-3M', 'EDate':'0D' })
The output:
NaN TR.SETTLEMENTPRICE .DATE TR.SETTLEMENTPRICE
0 LCOQ9^1 NaN NaN
I have also used CLOSEPRICE in place of SETTLEMENTPRICE, but still getting NaN.
There is no error message.
I have referred to this post on the forum:
Hello @varun.divakar
I tried expanding the time range, and was able to get some data. Seems like you have to include the time range when this contract was active. See if this works for you.
>>> ek.get_data('LCOQ9^1', ['TR.SETTLEMENTPRICE.date','TR.SETTLEMENTPRICE'], {'SDate':'-12M', 'EDate':'0D' })
( Instrument Date Settlement Price
0 LCOQ9^1 2019-04-30T00:00:00Z 71.45
1 LCOQ9^1 2019-05-01T00:00:00Z 71.50
2 LCOQ9^1 2019-05-02T00:00:00Z 70.02
3 LCOQ9^1 2019-05-03T00:00:00Z 70.03
4 LCOQ9^1 2019-05-06T00:00:00Z 70.37
5 LCOQ9^1 2019-05-07T00:00:00Z 69.07
6 LCOQ9^1 2019-05-08T00:00:00Z 69.62
7 LCOQ9^1 2019-05-09T00:00:00Z 69.48
8 LCOQ9^1 2019-05-10T00:00:00Z 69.64
9 LCOQ9^1 2019-05-13T00:00:00Z 69.31
10 LCOQ9^1 2019-05-14T00:00:00Z 70.31
11 LCOQ9^1 2019-05-15T00:00:00Z 70.90
12 LCOQ9^1 2019-05-16T00:00:00Z 71.70
13 LCOQ9^1 2019-05-17T00:00:00Z 71.26
14 LCOQ9^1 2019-05-20T00:00:00Z 71.16
15 LCOQ9^1 2019-05-21T00:00:00Z 71.31
16 LCOQ9^1 2019-05-22T00:00:00Z 69.99
17 LCOQ9^1 2019-05-23T00:00:00Z 66.50
18 LCOQ9^1 2019-05-24T00:00:00Z 67.47
19 LCOQ9^1 2019-05-27T00:00:00Z 68.77
20 LCOQ9^1 2019-05-28T00:00:00Z 68.67
21 LCOQ9^1 2019-05-29T00:00:00Z 67.87
22 LCOQ9^1 2019-05-30T00:00:00Z 65.33
23 LCOQ9^1 2019-05-31T00:00:00Z 61.99
24 LCOQ9^1 2019-06-03T00:00:00Z 61.28
25 LCOQ9^1 2019-06-04T00:00:00Z 61.97
26 LCOQ9^1 2019-06-05T00:00:00Z 60.63
27 LCOQ9^1 2019-06-06T00:00:00Z 61.67
28 LCOQ9^1 2019-06-07T00:00:00Z 63.29
29 LCOQ9^1 2019-06-10T00:00:00Z 62.29
.. ... ... ...
251 LCOQ9^1 2020-04-15T00:00:00Z NaN
252 LCOQ9^1 2020-04-16T00:00:00Z NaN
253 LCOQ9^1 2020-04-17T00:00:00Z NaN
254 LCOQ9^1 2020-04-20T00:00:00Z NaN
255 LCOQ9^1 2020-04-21T00:00:00Z NaN
256 LCOQ9^1 2020-04-22T00:00:00Z NaN
257 LCOQ9^1 2020-04-23T00:00:00Z NaN
258 LCOQ9^1 2020-04-24T00:00:00Z NaN
259 LCOQ9^1 2020-04-27T00:00:00Z NaN
260 LCOQ9^1 2020-04-28T00:00:00Z NaN
261 LCOQ9^1 2020-04-29T00:00:00Z NaN
262 LCOQ9^1 2020-04-30T00:00:00Z NaN
263 LCOQ9^1 2020-05-01T00:00:00Z NaN
264 LCOQ9^1 2020-05-04T00:00:00Z NaN
265 LCOQ9^1 2020-05-05T00:00:00Z NaN
266 LCOQ9^1 2020-05-06T00:00:00Z NaN
267 LCOQ9^1 2020-05-07T00:00:00Z NaN
268 LCOQ9^1 2020-05-08T00:00:00Z NaN
269 LCOQ9^1 2020-05-11T00:00:00Z NaN
270 LCOQ9^1 2020-05-12T00:00:00Z NaN
271 LCOQ9^1 2020-05-13T00:00:00Z NaN
272 LCOQ9^1 2020-05-14T00:00:00Z NaN
273 LCOQ9^1 2020-05-15T00:00:00Z NaN
274 LCOQ9^1 2020-05-18T00:00:00Z NaN
275 LCOQ9^1 2020-05-19T00:00:00Z NaN
276 LCOQ9^1 2020-05-20T00:00:00Z NaN
277 LCOQ9^1 2020-05-21T00:00:00Z NaN
278 LCOQ9^1 2020-05-22T00:00:00Z NaN
279 LCOQ9^1 2020-05-25T00:00:00Z NaN
280 LCOQ9^1 2020-05-26T00:00:00Z NaN
