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etfglobal_industry by ETF Global

Dataset Name: etfglobal_industry

Group: reference_data
Vendor: ETF Global
Data Starts at: 2017-04-03 00:00:00
Symbol Set: 2400 US ETFs
Asset Class: Equity
Data Update Time(s): 8:00 AM EST
Data Update Frequency: day

Detailed information on each ETF - around 2200+ rows/tickers/symbols per day, 56 columns including Industry Group, Industry and Sub Industry exposure.

ETF Global® (ETFG®) is a leading, independent provider of data, research, investment decision support applications, proprietary risk analytics and invest.

Data Contained in this Dataset

Column Type Description
_seq uint Internal sequence number used to keep data rows in order
timestamp string Timestamp of the Data - America/New York Time.
muts uint64 Microseconds Unix Timestamp. An integer representation of a timestamp with microsecond precision that can be compared directly to other timestamps.
as_of_date string As of date
issuer string Issuing firm of the product
description string The name of the product
inception_date string Inception date of the product
primary_benchmark string Related Index underlying the product
tax_classification string RIC/Partnership/UIT -1099 vs K1
is_etn bool Boolean field to indicate if it is an ETN
aum double Daily total Assets Under Management (AUM) of the product
avg_daily_trading_volume double 1 month average daily trading volume
asset_class string Asset Class (eg Blank, Equity , Real Estate, Fixed Income, Stock - Preferred, Commodity, Currency, etc.)
category string Broad category description
focus string Specific exposure description
development_class string What developmental class
region string Regional focus
is_levered bool Boolean field to indicate if it is levered
levered_amount double The leverage factor of the product i.e., -1, 2, 3, -3
is_active bool Boolean field to indicate if it is an "Active" per the SEC
administrator string The ETF Administrator
advisor string Advisor
custodian string Custodian
distributor string Distributor
portfolio_manager string Portfolio Manager
subadvisor string Subadvisor
transfer_agent string Transfer Agent
trustee string Trustee
futures_commission_merchant string Futures Commission Merchant
fiscal_year_end string Fiscal Year End
distribution_frequency string Distribution Frequency
listing_exchange string Listing Exchange
creation_unit_size double Number of shares needed for a creation unit
creation_fee double Fee for creating a unit of shares
geographic_exposure string Geographic breakdown based on country of domicile
currency_exposure string Currency breakdown based on currency of underlying
sector_exposure string Sector breakdown
industry_group_exposure string Industry Group breakdown
industry_exposure string Industry breakdown
subindustry_exposure string Sub-Industry breakdown
coupon_exposure string Coupon breakdown
maturity_exposure string Maturity breakdown
options_available double Are options available on a product
options_volume double Total daily options volume (Put + Call)
short_interest double Number of shares sold short
put_call_ratio double Put/Call ratio for products with options
num_holdings double Number of Holdings
discount_premium double Discount/Premium
bid_ask_spread double Average intra-day bid/ask spread divided by lowest sample intra day ask
put_volume double Put volume
call_volume double Call volume
management_fee double Management Fee Charged
other_expenses double Other fund expenses
total_expenses double Total Expense
fee_waivers double Fee Waiver
net_expenses double Net Expense Ratio
lead_market_maker string The listed LMM for the specific product
symbol string Trading Symbol or Ticker

Important Dataset Notes

This dataset is not available for direct online purchase. Please contact sales directly at The data is available through our normal sales department who can provide you with current pricing and a quote for accessing this valuable dataset. This may be due to a number of reasons such as dataset intended use, size of the company (or investment fund) using the dataset, or for simple legal requirements that CloudQuant needs to ensure are in place prior to licensing the dataset to you.