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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.

Metadata

Release files for eikon 1.1.6.post3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for eikon 1.1.6.post3
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Built distributions (wheels)

Table of built distributions (wheels) for eikon 1.1.6.post3
File Interpreter ABI Platform
eikon-1.1.6.post3-py3.8.egg Legacy Egg format - - Details
eikon-1.1.6.post3-py3-none-any.whl Python 3 none any Details

Total release size: 141.4 kB

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Size 47.8 kB
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