The getETFConstituents API retrieves all the constituents for a particular ETF
|T||Application Key which authenticates you with cloudquote (required)||Base64 string|
|symbol||The symbol of the ETF to retrieve||String|
|date||The date to retrieve either a specific date or "current" for the latest data||Date String - YYYY-MM-DD|
The response is an object, containing the following keys:
|rows||A collection of rows||Array of Object|
|rows[...]||A single row||Object|
Fields in rows[...] Object:
About The Vendor
ETF Global® (ETFG®) is a leading, independent provider of data, research, investment decision support applications, proprietary risk analytics and educational offerings for Exchange-Traded-Products. The ETFG research platform, which is driven by the ETFG Multi-Factor, Quantitative Model (ETFG Quant), supports the overall investment process with a variety of strategies and applications to pursue return, manage risk, utilize investment analysis and generate investment ideas.
ETF Global services three primary client communities:
Investment Professionals: Financial Intermediaries, Financial Advisors, Investment Consultants, Financial Planners, Insurance Professionals, Annuity Professionals, Certified Public Accountants, Attorneys, Private Bankers, Private Wealth Managers
Capital and Middle Markets: Capital Markets Desks, Trading Desks, Execution Management Systems, Order Management Systems, Algorithmic Trading Firms, Liquidity Providers
Institutional Investors: Asset Owners and Managers, Pension Funds, Endowments, Foundations, Family Offices, Hedge Funds, Mutual Funds, Commercial Banks, Insurance Companies, Broker-Dealers, Private Banks
Founded in 2011, the firm is headquartered in New York and maintains offices in both New York City and Pittsburgh, PA. More information about ETF Global and our services, applications and products is available throughout our site, here at www.etfg.com.
The ETFG® Quant Model The research platform is driven by the company’s proprietary Quantitative Model which harnesses the power of algorithms within "Big Data." With roots in Machine Learning, 2016 marked a quantum leap for the firm as it deployed its first elements of Deep Learning Artificial Neural Networks within the ETFG® Quant Model.
The universe of equity ETFs reviewed by ETFG Quant represents the broadest range of industry groups, sectors and geographic regions. The ETFG Quant model assigns a daily ranking to all relevant products using proprietary algorithms and employing dozens of industry metrics to gauge how likely an equity ETF will outperform the market in the foreseeable future. ETFG Quant has four primary drivers within the model: Behavioral Finance (Technical Analysis & Sentiment), Fundamental Analysis, Global Themes and Quality.