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apis-activation

Eikon Data API, Python and Jupyter Primer

article.ads.websocket.clientloadbalancing

article.appstudio.javascript.tradeassist

Quote Assist App built using App Studio HTML5 SDK

article.codebook.python.bokeh

article.dacsstation.java.soap

article.datalibrary.dotnet.search

The following examples outline the core capabilities available within Refinitiv's Search API, a powerful search engine covering content such as quotes, instruments, organizations, and many types of assets.

article.datalibrary.python.3dinvesting

Traditional mean-variance portfolio optimization often considers only 2 investing objectives which are risk and return (2D). 3D investing, on the other hand, adds sustainability as an additional objective to optimize risk and return, as well as sustainability objectives.

article.datalibrary.python.automatingtechnicalanalysisbacktesting

Discover how to automate technical analysis and strategy backtesting workflows with Python

article.datalibrary.python.creditrisk

Understand and Retrieve your portfolio's credit risk exposures

article.datalibrary.python.desktoppythonappdisplayingmarketimpactofpressreleases

In this article, we'll create an application that will display statistics of an instrument immediately after a press release (eg: United States' Consumer Price Index (CPI) or US Non Farm Payroll) that can run in CodeBook. This way, you can have such a view on one side of your Workspace, and any other app of choice on the other. We'll display a live, interactive graph of the tick data, and a static table of the historical report data.

article.datalibrary.python.dfmanipulationpandas

Covering the essential functions that are the backbone of data analysis in Python from loading data and inspecting it, to filtering, grouping, and transforming.

article.datalibrary.python.edafortimeseriesdatausingpycaret

article.datalibrary.python.esgfactormodeling

Exploring how ESG investing aligns portfolios with sustainability values, assessing environmental, social, and governance impacts.

article.datalibrary.python.intradayanalysis

article.datalibrary.python.marketpsych1

article.datalibrary.python.modellingfortimeseriesdatausingpycaret

article.datalibrary.python.newssentimentwithllm

Python script for analyzing financial news sentiment using GPT-based Large Language Models (LLMs). It demonstrates how to leverage LSEG's Data Library to fetch news headlines and apply LLMs for sentiment classification, helping in the development of advanced investment strategies

article.datalibrary.python.parallelprogramming

article.datalibrary.python.pycharm

The example project demonstrates how to set up the RD Library Python on the PyCharm IDE.

article.datalibrary.python.screener

Sample that will show user how to screen for list of instrument based on their filters

article.datalibrary.python.search

The following examples outline the core capabilities available within Refinitiv's Search API, a powerful search engine covering content such as quotes, instruments, organizations, and many types of assets.

article.datalibrary.python.searchbrowser

A Python class that simplifies the challenges of discovering financial properties when building Search API queries within Jupyter Notebook.

article.datascope.postman.earlypartialreport

article.datastream.python.applymaximumdrawdowndailyreportforfundholding

Maximum Drawdown (MDD) is an indicator of downside risk, with large MDDs suggesting that down movements could be volatile. However, while MDD measures the most significant loss, it does not account for the frequency of losses and the size of any gains.

article.datastream.python.commoditiesoverview

article.datastream.python.computingriskfreeratesandexcessreturnsfromcouponpayingbondsbootstrapping

Our previous article explained what Net Present Values, Face Values, Maturities, Coupons, and risk-free rates are, how to compute them, and how they are used to calculate excess returns using only Zero-Coupon Bonds; in this article, we look at Coupon Paying Bonds, particularly Cash Flow incurred by Coupons, Bootstrapping and particularities about Sovereign Bond data. Very little is changed in this article until the 'Coupon Paying Rate' section. It is aimed at academics from undergraduate level up, and thus will explain all mathematical notations to ensure that there is no confusion and so that anyone - no matter their expertise on the subject - can follow.

article.datastream.python.computingriskfreeratesandexcessreturnsfromzerocouponbonds

This article explains what Net Present Values, Face Values, Maturities, Coupons, and risk-free rates are, how to compute them, and how they are used to calculate excess returns using only Zero-Coupon Bonds; other types of bonds are discussed for completeness, but they will only be investigated as such in further articles to come. It is aimed at academics from undergraduate level up.

article.datastream.python.datastreamgeographicalmap

article.datastream.python.datastreamsustainabledevelopmentgoalscountryscores

Sustainable Development Goals Country Scores

article.datastream.python.economicindicators