By ETFGlobal

    Retrieves fund flow data for an ETF

    Query Parameters:

    Parameter Meaning Data Type
    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

    JSON Response:

    The response is an object, containing the following keys:

    Parameter Meaning Data Type
    rows A collection of rows Array of Object
    rows[...] A single row Object

    Fields in rows[...] Object:

    Field Data Type
    run_date Date String
    composite_ticker String
    identifier String
    constituent_name String
    weight String
    market_value String
    cusip String
    isin String
    figi String
    sedol String
    country String
    exchange String
    total_shares_held String
    market_sector String
    security_type String

    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

    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.