lseg-api-samples Goto Github PK

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.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.edafortimeseriesdatausingpycaret

article.datalibrary.python.intradayanalysis

article.datalibrary.python.marketpsych1

article.datalibrary.python.modellingfortimeseriesdatausingpycaret

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.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

article.datastream.python.estimatingmonthlygdpfiguresviaanincomeapproach

Only quarterly U.S.A. G.D.P. data is published; this article describes a method of estimating monthly such figures using monthly Total Compensation figures.

article.datastream.python.forecastingusagdpviaexpenditureapproachandholtwintersmodel

Forecasting USA GDP via Expenditure Approach and the Holt-Winters Model

article.datastream.python.howtocollectdatastreamibesglobalaggregateearningsdata

In this article, we build the Python function Get_IBES_GA with ipywidgets Dropdowns to retrieve Institutional Brokers' Estimate System (IBES) Global Aggregate earnings data for country and regional sectors in an interactive way. With this function in CodeBook, no need to know how to code, it's as simple as click and play!

article.datastream.python.loaddatausingmultiprocessinginpython

In this Article, we will demonstrate examples of one of the DSWS Python API to load data using parallel processing functionality for reducing the execution time and lead to useful case studies.

article.datastream.python.medianindexdata

In this article, we will create a Python function that will take the median measure of all (non 'NaN') values of a specific field for any index (or list of indices) of choice using Refinitiv's DataStream Web Services (DSWS).