Python package for retrieving Eikon data.
Project description
The Eikon Data API for Python allows your Python applications to access data directly from Eikon or Refinitv Workspace, powering in-house or thirdparty desktop apps with Refinitiv data. It provides seamless workflow with the same data across all applications running on the desktop. It leverages Eikon data and entitlements to simplify market data management and reporting. The Eikon Data API for Python is a software library that works in conjunction with the Eikon desktop application and Refinitiv Workspace.
Some examples
Import Eikon and set your App Key
import eikon as ek
ek.set_app_key('8e9bxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx1b035d')
Get real-time Snapshots
df, err = ek.get_data(
instruments = ['GOOG.O','MSFT.O', 'FB.O'],
fields = ['BID','ASK']
)
display(df)
Instrument |
BID |
ASK |
|
---|---|---|---|
0 |
GOOG.O |
1350.48 |
1352.19 |
1 |
MSFT.O |
152.38 |
152.40 |
2 |
FB.O |
203.08 |
203.15 |
Get Real-time Streaming data
streaming_prices = ek.StreamingPrices(
instruments = ['EUR=', 'GBP=', 'JPY=', 'CAD='],
fields = ['DSPLY_NAME', 'BID', 'ASK'],
on_update = lambda streaming_price, instrument_name, fields :
print("Update received for {}: {}".format(instrument_name, fields))
)
streaming_prices.open()
Output:
<StreamState.Open: 3> Update received for JPY=: {'DSPLY_NAME': 'BARCLAYS LON', 'BID': 109.59, 'ASK': 109.62} Update received for GBP=: {'DSPLY_NAME': 'ASANPACIFIBK MOW', 'BID': 1.341, 'ASK': 1.3411} Update received for EUR=: {'DSPLY_NAME': 'UBS ZUR', 'BID': 1.117, 'ASK': 1.1174} Update received for CAD=: {'DSPLY_NAME': 'HSBC LON', 'BID': 1.3165, 'ASK': 1.3167} Update received for JPY=: {'DSPLY_NAME': 'ASANPACIFIBK MOW', 'BID': 109.59, 'ASK': 109.61} Update received for GBP=: {'DSPLY_NAME': 'INTERPROMBAN MOW', 'BID': 1.341, 'ASK': 1.3412} Update received for EUR=: {'DSPLY_NAME': 'RBS LON', 'BID': 1.117, 'ASK': 1.1174} Update received for CAD=: {'DSPLY_NAME': 'CIBC TOR', 'BID': 1.316, 'ASK': 1.3164} Update received for JPY=: {'DSPLY_NAME': 'BARCLAYS LON', 'BID': 109.59, 'ASK': 109.62} Update received for GBP=: {'DSPLY_NAME': 'INTERPROMBAN MOW', 'BID': 1.341, 'ASK': 1.3413} Update received for EUR=: {'DSPLY_NAME': 'BARCLAYS LON', 'BID': 1.117, 'ASK': 1.1174} Update received for CAD=: {'DSPLY_NAME': 'CIBC TOR', 'BID': 1.316, 'ASK': 1.3164} Update received for JPY=: {'DSPLY_NAME': 'ASANPACIFIBK MOW', 'BID': 109.59, 'ASK': 109.61} Update received for GBP=: {'DSPLY_NAME': 'BARCLAYS LON', 'BID': 1.341, 'ASK': 1.3414}
Get Fundamental & Reference data
df, err = ek.get_data(
instruments = ['GOOG.O','MSFT.O', 'FB.O'],
fields = ['TR.LegalAddressCity','TR.LegalAddressLine1','TR.Employees']
)
display(df)
Instrument |
Legal Address City |
Legal Address Line 1 |
Full-Time Employees |
|
---|---|---|---|---|
0 |
GOOG.O |
WILMINGTON |
251 Little Falls Dr |
98771 |
1 |
MSFT.O |
TUMWATER |
300 Deschutes Way SW Ste 304 |
144000 |
2 |
FB.O |
WILMINGTON |
251 Little Falls Dr |
35587 |
Get TimeSeries
ek.get_timeseries('AAPL.O', interval='minute')
AAPL.O |
HIGH |
LOW |
OPEN |
CLOSE |
COUNT |
VOLUME |
---|---|---|---|---|---|---|
Date |
||||||
2019-09-12 19:57:00 |
223.2000 |
222.8600 |
223.1800 |
222.9600 |
3387.0 |
267258.0 |
2019-09-12 19:58:00 |
223.1800 |
222.8900 |
222.9700 |
223.1700 |
1925.0 |
210251.0 |
2019-09-12 19:59:00 |
223.2800 |
223.0800 |
223.1700 |
223.1500 |
2106.0 |
223191.0 |
… |
… |
… |
… |
… |
… |
… |
2019-12-12 14:31:00 |
268.3000 |
267.3200 |
267.8200 |
267.9350 |
2974.0 |
724278.0 |
2019-12-12 14:32:00 |
268.3600 |
267.6000 |
267.9500 |
268.3000 |
1721.0 |
193413.0 |
50000 rows by 6 columns
Get News HeadLines
ek.get_news_headlines('IBM.N', count=100)
versionCreated |
text |
storyId |
sourceCode |
|
---|---|---|---|---|
20 19 -1 2- 12 12 :4 5: 10 .9 58 |
2019-12-12 12:45:10.958 |
IBM I ndia c alls for bal ance bet ween pro tect ing… |
urn: newsml:reu ters.com:2 0191212:nN RAafsi86:1 |
NS:ASNEWS |
20 19 -1 2- 12 12 :0 3: 54 .0 56 |
2019-12-12 12:03:54.056 |
Red Hat a nnou nces ren ewal of FIPS 1 40-2 sec uri… |
urn: newsml:reu ters.com:2 0191212:nN RAafs2g9:1 |
NS:DATMTR |
20 19 -1 2- 12 08 :0 7: 44 .7 53 |
2019-12-12 08:07:44.753 |
Engi neer for ever cha nged re tail with crea tion … |
urn: newsml:reu ters.com:2 0191212:nN RAafpj8v:1 |
NS:GLOBML |
… |
… |
… |
… |
… |
20 19 -1 2- 03 16 :1 8: 50 .5 32 |
2019-12-03 16:18:50.532 |
Un ited St ates : IBM Wa tson He alth D emon stra tes… |
urn: newsml:reu ters.com:2 0191203:nN RAad1a5r:1 |
NS:ECLPCM |
20 19 -1 2- 03 13 :0 0: 10 .6 42 |
2019-12-03 13:00:10.642 |
No zomi Netw orks W orks with IBM to Se cure In dus… |
urn: newsml:reu ters.com:2 0191203:nG NX8Yr8Hy:1 |
NS:GNW |
100 rows by 4 columns
Get Symbology
ek.get_symbology(['MSFT.O', 'GOOG.O', 'IBM.N'])
CUSIP |
ISIN |
OAPermID |
RIC |
SEDOL |
ticker |
|
---|---|---|---|---|---|---|
MSFT.O |
594918104 |
US5949181045 |
4295907168 |
MSFT.O |
NaN |
MSFT |
GOOG.O |
02079K107 |
US02079K1079 |
5030853586 |
GOOG.O |
NaN |
GOOG |
IBM.N |
459200101 |
US4592001014 |
4295904307 |
IBM.N |
2005973 |
IBM |
Learning materals
To learn more about the Eikon Data API Python library just connect to the Refinitiv Developer Community. By registering and login to the Refinitiv Developer Community portal you will get free access to a number of learning materials like Quick Start guides, Tutorials, Documentation and much more.
Help and Support
If you have any questions regarding the API usage, please post them on the Eikon Data API Q&A Forum. The Refinitiv Developer Community will be very pleased to help you.
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