refinitiv-dataplatform 1.0.0a9

Python package for retrieving data.

The Refinitiv Data Plaform Library for Python provides a set of ease-of-use functions and classes that gives your applications a uniform access to the breath and depth of financial data and services available on the Refinitiv Data Platform.

Thanks to this library the same Python code can be used to retrieve data whatever the access point your application uses to connect to the Refinitiv Data Platform (either via a direct connection, via Eikon, via the Refinitiv Workspace or even via a deployed Enterprise Platform).

The library provides several abstraction layers enabling different programming styles and technics suitable for all developers from Financial Coders to Seasoned Developers (synchronous function calls, async/await, event driven).

Some examples

Import the Refinitiv Data Platform Library

import refinitiv.dataplatform as rdp

Chose your platform access point...

...either directly to the Refinitiv Data Platform...

rdp.open_platform_session(
    '8e9bxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx1b035d', 
    rdp.GrantPassword(
        'my_login', 
        'my_password'
    )
)

...or via Eikon/Refinitiv Workspace...

rdp.open_desktop_session('8e9bxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx1b035d')

...or via a Deployed Platform

rdp.open_deployed_platform_session(
    '8e9bxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx1b035d',
    'my_deployed_platform_ip',
    'my_dacs_user_name'
)

Real-time Pricing - Get Snapshots

rdp.get_snapshot(
    universe = ['GBP=','JPY='], 
    fields   = ['BID','ASK']
)

	Instruments	BID	ASK
0	GBP=	1.3211	1.3212
1	JPY=	108.6100	108.6200

Real-time Pricing - Get Streaming Data

streaming_prices = rdp.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}

Historical Pricing - Get Interday Summaries

rdp.get_historical_price_summaries(
    universe = 'VOD.L', 
    interval = rdp.Intervals.DAILY,
    fields = ['BID','ASK','OPEN_PRC','HIGH_1','LOW_1','TRDPRC_1','NUM_MOVES','TRNOVR_UNS']
)

	BID	ASK	OPEN_PRC	HIGH_1	LOW_1	TRDPRC_1	NUM_MOVES	TRNOVR_UNS
2019-12-12	144.32	144.34	144.42	145.66	143.46	144.18	12631.0	8498347218.71154
2019-12-11	143.58	143.6	142.72	144.8	142.62	143.58	10395.0	8815450412.65353
2019-12-10	142.74	142.78	143.84	143.84	141.48	142.74	10311.0	8070285210.45742
...	...	...	...	...	...	...	...	...
2019-11-18	152.1	152.12	154.74	155.66	152.0	152.12	14606.0	19322988639.34
2019-11-15	154.6	154.62	160.68	160.68	154.06	154.6326	17035.0	31993013818.37456

News - Get Headlines

rdp.get_news_headlines(query = 'LFR', count = 350)

versionCreated	text	storyId	sourceCode
2019-12-12 06:51:36.518	SGX FTSE China A50 (Z9) intraday : prudence.	urn:newsml:reuters.com:20191212:nGUR92Pj4t:1	NS:GURU
2019-12-12 06:49:52.011	SSE Composite intraday : biais haussier au-des...	urn:newsml:reuters.com:20191212:nGUR8gt362:1	NS:GURU
2019-12-12 06:49:33.973	Election du Conseil fédéral: "repenser la form...	urn:newsml:reuters.com:20191212:nNRAafovmk:1	NS:SDASDE
...	...	...	...
2019-12-11 23:27:13.673	Le nouveau système en huit questions	urn:newsml:reuters.com:20191211:nNRAafll6g:1	NS:LESECH
2019-12-11 23:27:13.653	Les clefs du royaume	urn:newsml:reuters.com:20191211:nNRAaflped:1	NS:LESECH

350 rows x 4 columns

Learning materals

To learn more about the Refinitiv Data Platform Library for python 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 Refinitiv Data Platform Q&A Forum. The Refinitiv Developer Community will be very pleased to help you.