Sold by: ETF Global LLC
Deployed on AWS
Reference Data - ETF Global® Proprietary Analytics Data Feed
Overview
ETF Global Proprietary Analytics - US Listed - 2017 to Present Data Product Overview - ETFG Reward Model: 22 Factor Scores gauging momentum, sentiment, valuation, and macro views on sectors and countries. Qualitative measures include liquidity, diversification and issuing firm. ETFG Risk Model: 7 factor scores - Measures include volatility, deviation, country, structure, liquidity and efficiency. Coverage begins in 2017 and is updated daily.
| Description | Value |
|---|---|
| Update Frequency | Daily |
| Data Source(s) | Analytics |
| Original Publisher of data | ETF Global |
| Data Creation Date | 4/3/2017 |
| Data Modification Date | 3/4/2025 |
| Geographic coverage | US |
| Time period coverage | 2017-YTD |
| Is historical data point-in-time | YES |
| Data Set(s) Format(s) | .csv |
| Raw or scraped data | Raw - Direct From Source |
| Key Fields | ETFG Reward Model - 22 Factor Scores - ETF Risk Model - 7 Factor Scores |
| Number of companies/brands covered | US Listed ETP Universe |
Additional Information
Details
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Features and programs
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
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Dimensions summary
This listing uses a single pricing dimension called Product Access (Units). It grants subscribers access to the product at no cost. There are no tiers, instance sizes, or usage add-ons to compare. You subscribe once to unlock access to the data and analytics. The pricing model is Free, so the unit dimension controls access rather than scaling cost. This gives you a straightforward, single-option structure with nothing to configure by quantity or usage.
Top-of-mind questions for buyers
The unit grants subscriber access to the ETF Global Proprietary Analytics dataset for US-listed products from 2017 to present. It unlocks the data and analytics rather than metering usage. You subscribe once to gain access, with no per-user or per-record counting applied.
Access includes the proprietary quantitative research outputs, such as daily rankings and scores derived from fundamental analysis, behavioral finance, global themes, and risk management. The model reviews a broad range of US-listed equity products. Rankings are assigned daily using the proprietary quant model.
No. The pricing model is Free, and the single Product Access unit controls access rather than metering usage. There are no tiers, included amounts, or overage points. Your access does not scale cost up or down based on how much data or analytics you consume.
www.etfg.com
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Vendor refund policy
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Legal
Vendor terms and conditions
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Content disclaimer
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Analytics_2019 | All historical revisions | All future revisions | Not included | Not included | ||
Analytics_2018 | All historical revisions | All future revisions | Not included | Not included | ||
Analytics_2017 | All historical revisions | All future revisions | Not included | Not included | ||
Analytics_2020 | All historical revisions | All future revisions | Not included | Not included | ||
Analytics_YTD | All historical revisions | All future revisions | Not included | Not included | ||
ETF Global - Header Files | All historical revisions | All future revisions | Not included | Not included |
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Frequency: Daily
Update Frequency: Intraday