![]() How to Access the Starmine and Other DataĪs mentioned above I will be using Eikon and specifically our new Eikon Data API - which is a really easy to use yet performant web API. You can find out more about Starmine Analytics by going here. The list of models is really broad-based and includes both quantitative analytics (such as smartEstimates) and quantitative models (such as the Combined Alpha Model I will demo here).Īll of these analytics and models can provide you with new sources of information and subsequently alpha - they are calculated by our Starmine team and delivered to you - saving you many man years of work and research etc. In short - StarMine provides a suite of proprietary alpha-generating analytics and models spanning sectors, regions, and markets. Required Python Packages: eikon, pandas, numpy, matplotlib, sklearn, scipy Starmine Quantitative Analytics Refinitiv Eikon / Refinitiv Workspace with access to Eikon Data APIs (Free Trial Available) ![]() I will also provide the Jupyter notebook source via gitub. I will be using Eikon and more specifically our new Eikon Data API to access all the data I need to conduct this analysis - however Starmine Analytics is available in other products and delivery channels. It is intended as a teaser to intice you to further explore this rich vein rather than a rigorous scientific study. This article will demonstrate how we can use Starmine Analytical Models to derive insight and generate alpha, in this case, for equity markets. Generating Alpha using Starmine Analytical Models - a Python example Overview ![]()
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