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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
2019-12-12 12:45:10.958 2019-12-12 12:45:10.958 IBM India calls for balance between protecting... urn:newsml:reuters.com:20191212:nNRAafsi86:1 NS:ASNEWS
2019-12-12 12:03:54.056 2019-12-12 12:03:54.056 Red Hat announces renewal of FIPS 140-2 securi... urn:newsml:reuters.com:20191212:nNRAafs2g9:1 NS:DATMTR
2019-12-12 08:07:44.753 2019-12-12 08:07:44.753 Engineer forever changed retail with creation ... urn:newsml:reuters.com:20191212:nNRAafpj8v:1 NS:GLOBML
... ... ... ... ...
2019-12-03 16:18:50.532 2019-12-03 16:18:50.532 United States : IBM Watson Health Demonstrates... urn:newsml:reuters.com:20191203:nNRAad1a5r:1 NS:ECLPCM
2019-12-03 13:00:10.642 2019-12-03 13:00:10.642 Nozomi Networks Works with IBM to Secure Indus... urn:newsml:reuters.com:20191203:nGNX8Yr8Hy: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 materials

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.

Release files for eikon 1.1.18

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 1.1.18
File Size Uploaded
eikon-1.1.18.tar.gz 113.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for eikon 1.1.18
File Interpreter ABI Platform
eikon-1.1.18-py3-none-any.whl Python 3 none any Details

Total release size: 243.3 kB

Release files / eikon-1.1.18.tar.gz

Download URL eikon-1.1.18.tar.gz
Size 113.1 kB
Tags Source
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Release files / eikon-1.1.18-py3-none-any.whl

Download URL eikon-1.1.18-py3-none-any.whl
Size 130.2 kB
Tags Python 3
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0343fb03f2ced8ac37517b968257a95b33cce3b3628f6e4462750b5707344acd
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Uploaded via twine/4.0.2 CPython/3.11.5
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