![]() ![]() International Business Machines Corp, Public C. Search from import search response = search. on_refresh ( lambda pricing_stream, instrument_name, fields : print ( f "Refresh received for Real-time streaming data retrieval from import pricing pricing_stream = rd. Definition ( universe = 'VOD.L', interval = historical_pricing. Historical data retrieval from import historical_pricing response = historical_pricing. open_session () Fundamental And Reference data retrieval from import fundamental_and_reference response = fundamental_and_reference. with the Content layer dedicated to advanced use cases Import the Refinitiv Data Library import refinitiv.data as rd Open a data session rd. get_history ( universe = "GOOG.O", fields =, interval = "1Y", start = "", end = "", ) print ( df ) GOOG.OĬlose the session rd. Get Fundamental and pricing history df = rd. get_data ( universe =, fields = ) print ( df ) open_session () Get pricing snapshots and fundamental data df = rd. with the Access layer Import the Refinitiv Data Library import refinitiv.data as rd Open a data session rd. The Session layer defines interfaces allowing your application to connect to the Refinitiv Data Platform via different access points (either via a direct connection, via Eikon, via the Refinitiv Workspace, via CodeBook or even via a local Real-Time Distribution System).The Delivery layer is a foundational component of the Content layer. The Delivery layer is a low abstraction layer that defines interfaces used to interact with service agnostic delivery mechanisms of the Refinitiv Data Platform.The Content layer refers to logical market data objects like market data prices and quotes, fundamental & reference data, historical data, company research data and so on. It provides developers with interfaces suitable for more advanced use cases (synchronous function calls, async/await, event driven). The Content layer is the basement of the Access layer.It has been designed for quick experimentation with our data and for Financial Coders specific needs. The Access layer provides simple interfaces allowing you to rapidly prototype solutions within interactive environments such as Jupyter Notebooks. Using the Access layer is the easiest way to get Refinitiv data.The library provides several abstraction layers enabling different programming styles and technics suitable for all developers from Financial Coders to Seasoned Developers: It can be either via a direct connection, via Eikon, via Refinitiv Workspace, via CodeBook or even via a local Real-Time Distribution System. With this library, the same Python code can be used to retrieve data whatever the access point you choose to connect your application to the Refinitiv Data Platform. The Refinitiv Data Library for Python provides a set of ease-of-use interfaces offering your applications a uniform access to the breadth and depth of financial data and services available on the Refinitiv Data Platform. ![]()
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