If I want a forward curve, for, say, NYMEX WTI I can enter:
wti, err = ek.get_data('0#CL:', fields=['CF_Last','EXPIR_Date'])
and get the forward curve as it is right now. But is there a way to use get_data to get it for another date? For example, how the curve was 3 weeks ago (I'm ignoring rolls, etc.)?
I can use get_timeseries to pull CLc1, CLc2, etc. and build a dataframe to get the snapshots in time that I need, but that approach is not very efficient.
Example:
wti_rics = ['CLc1','CLc2','CLc3','CLc4','CLc5','CLc6','CLc7',
'CLc8','CLc9','CLc10','CLc11','CLc12']
wti = ek.get_timeseries(wti_rics,
fields=['TIMESTAMP','Close'],
start_date = (date.today()-timedelta(days=31)).strftime("%Y-%m-%d"),
end_date = (date.today()).strftime("%Y-%m-%d"),
interval = "daily"
)
c1 = wti.iloc[20][0]
c2 = wti.iloc[20][1]
c3 = wti.iloc[20][2]
c4 = wti.iloc[20][3]
c5 = wti.iloc[20][4]
c6 = wti.iloc[20][5]
c7 = wti.iloc[20][6]
c8 = wti.iloc[20][7]
c9 = wti.iloc[20][8]
c10 = wti.iloc[20][9]
c11 = wti.iloc[20][10]
c12 = wti.iloc[20][11]
w1 = wti.iloc[15][0]
w2 = wti.iloc[15][1]
w3 = wti.iloc[15][2]
w4 = wti.iloc[15][3]
w5 = wti.iloc[15][4]
w6 = wti.iloc[15][5]
w7 = wti.iloc[15][6]
w8 = wti.iloc[15][7]
w9 = wti.iloc[15][8]
w10 = wti.iloc[15][9]
w11 = wti.iloc[15][10]
w12 = wti.iloc[15][11]
t1 = wti.iloc[5][0]
t2 = wti.iloc[5][1]
t3 = wti.iloc[5][2]
t4 = wti.iloc[5][3]
t5 = wti.iloc[5][4]
t6 = wti.iloc[5][5]
t7 = wti.iloc[5][6]
t8 = wti.iloc[5][7]
t9 = wti.iloc[5][8]
t10 = wti.iloc[5][9]
t11 = wti.iloc[5][10]
t12 = wti.iloc[5][11]
wti_data = [['Mo1',c1,w1,t1],['Mo2',c2,w2,t2],['Mo3',c3,w3,t3],['Mo4',c4,w4,t4],['Mo5',c5,w5,t5],['Mo6',c6,w6,t6],['Mo7',c7,w7,t7],
['Mo8',c8,w8,t8],['Mo9',c9,w9,t9],['Mo10',c10,w10,t10],['Mo11',c11,w11,t11],['Mo12',c12,w12,t12]]
wti_evolution = pd.DataFrame(wti_data, columns = ['Contract','Current','1 Week Ago','3 Weeks Ago'])
