Python: disparity in fundamental data

If I use get_data, I'm able to get the current value. If I use get_timeseries, the most recent value is excluded. For example:
data = ek.get_timeseries('DST-STK-T-EIA', fields=['CLOSE','Timestamp'])
vs.
data = ek.get_data('DST-STK-T-EIA', 'CF_LAST')
I've obviously stripped-out dates, intervals, etc. from time_series, but including those yields the same result.
Best Answer
-
df =ek.get_timeseries(['DST-STK-T-EIA'],['CLOSE'],start_date='2010-03-01',interval='weekly')
dfThe above is fine - you are using real-time fields for the RIC which is an economic RIC:
data, err = ek.get_data('DST-STK-T-EIA', ['CF_LAST','CF_DATE'])
dataWhich will give you the last value but the date is the current date not the date of the last release which was on 25-04-2021.
I hope this can help.
0
Answers
-
@jason.ramchandani01. Thank you. There must be some sort of lag for this, because I am now able to use my original get_timeseries code and it displays the most recent data (ignore the end_date; I've reused code throughout my project) :
inventories = ek.get_timeseries('DST-STK-T-EIA',
fields=['Close','Timestamp'],
start_date=(date.today()-timedelta(days=(13*365))).strftime("%Y-%m-%d"),
end_date=(date.today()+timedelta(days=(5*365))).strftime("%Y-%m-%d"),interval="weekly"
)
inventories['Timestamp'] = inventories.index
Anyway, thanks again for your response.
0
Categories
- All Categories
- 3 Polls
- 6 AHS
- 36 Alpha
- 166 App Studio
- 6 Block Chain
- 4 Bot Platform
- 18 Connected Risk APIs
- 47 Data Fusion
- 34 Data Model Discovery
- 685 Datastream
- 1.4K DSS
- 615 Eikon COM
- 5.2K Eikon Data APIs
- 10 Electronic Trading
- Generic FIX
- 7 Local Bank Node API
- 3 Trading API
- 2.9K Elektron
- 1.4K EMA
- 252 ETA
- 556 WebSocket API
- 38 FX Venues
- 14 FX Market Data
- 1 FX Post Trade
- 1 FX Trading - Matching
- 12 FX Trading – RFQ Maker
- 5 Intelligent Tagging
- 2 Legal One
- 23 Messenger Bot
- 3 Messenger Side by Side
- 9 ONESOURCE
- 7 Indirect Tax
- 60 Open Calais
- 275 Open PermID
- 44 Entity Search
- 2 Org ID
- 1 PAM
- PAM - Logging
- 6 Product Insight
- Project Tracking
- ProView
- ProView Internal
- 22 RDMS
- 1.9K Refinitiv Data Platform
- 652 Refinitiv Data Platform Libraries
- 4 LSEG Due Diligence
- LSEG Due Diligence Portal API
- 4 Refinitiv Due Dilligence Centre
- Rose's Space
- 1.2K Screening
- 18 Qual-ID API
- 13 Screening Deployed
- 23 Screening Online
- 12 World-Check Customer Risk Screener
- 1K World-Check One
- 46 World-Check One Zero Footprint
- 45 Side by Side Integration API
- 2 Test Space
- 3 Thomson One Smart
- 10 TR Knowledge Graph
- 151 Transactions
- 143 REDI API
- 1.8K TREP APIs
- 4 CAT
- 27 DACS Station
- 121 Open DACS
- 1.1K RFA
- 104 UPA
- 193 TREP Infrastructure
- 228 TRKD
- 917 TRTH
- 5 Velocity Analytics
- 9 Wealth Management Web Services
- 90 Workspace SDK
- 11 Element Framework
- 5 Grid
- 18 World-Check Data File
- 1 Yield Book Analytics
- 46 中文论坛