ExtractAlpha's Innovation Model - select the most innovative stocks for outperformance

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Volume

stocks

Avail. Format

.csv

File

Coverage

Country

History

years

ExtractAlpha's Innovation Model scores 3000+ U.S. equities every day based on our proprietary metrics of innovation, which track patent filings and hiring activity. The Innovation Model, built using ExtractAlpha's raw dataset of government filings, the ESGEvents Library, tracks the industries and companies with the greatest amount of innovation intensity and scores them on a simple 1 to 100 basis. Historically the highest-scoring stocks have outperformed the lowest-scoring stocks, and in 2020 alone the highest-scoring stocks outperformed the lowest-scoring by over 35%. The Innovation Model is a slow-moving, high-capacity signal which can be easily incorporated into institutional investor's process.

North America (1)

United States of America

18 years of historical data

3,000

stocks

ExtractAlpha has not published pricing information for this product yet. You can request detailed pricing information below.

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Methods

Frequency

Format

Job Postings Data ESG Data Patent Data

664M records

250 countries covered

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150 countries covered

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250 countries covered

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500M Job Postings

97.3% Genuine Job Score

USA covered

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What is ExtractAlpha’s Innovation Model - select the most innovative stocks for outperformance?

ExtractAlpha’s Innovation Model scores 3000+ U.S. equities every day based on our proprietary metrics of innovation, which track patent filings and hiring activity.

Who can use ExtractAlpha’s Innovation Model - select the most innovative stocks for outperformance?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Job Postings Data. Get in touch with ExtractAlpha to see what their data can do for your business and find out which integrations they provide.

How far back does the data in ExtractAlpha’s Innovation Model - select the most innovative stocks for outperformance go?

This product has 18 years of historical coverage. It can be delivered on a daily basis.

Which countries does ExtractAlpha’s Innovation Model - select the most innovative stocks for outperformance cover?

This product includes data covering 1 country like USA. ExtractAlpha is headquartered in Hong Kong.

How much does ExtractAlpha’s Innovation Model - select the most innovative stocks for outperformance cost?

Pricing information for ExtractAlpha’s Innovation Model - select the most innovative stocks for outperformance is available by getting in contact with ExtractAlpha. Connect with ExtractAlpha to get a quote and arrange custom pricing models based on your data requirements.

How can I get ExtractAlpha’s Innovation Model - select the most innovative stocks for outperformance?

Businesses can buy Job Postings Data from ExtractAlpha and get the data via SFTP. Depending on your data requirements and subscription budget, ExtractAlpha can deliver this product in .csv format.

What is the data quality of ExtractAlpha’s Innovation Model - select the most innovative stocks for outperformance?

You can compare and assess the data quality of ExtractAlpha using Datarade’s data marketplace. ExtractAlpha appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? May Edition.

What are similar products to ExtractAlpha’s Innovation Model - select the most innovative stocks for outperformance?

This product has 3 related products. These alternatives include Global Recruiting Data 732M Records Daily Refresh 97M Monthly Updates, ESG Data on Bond Issuers 300+ ESG Metrics for 400 Europe, LatAm, Asia Bond Issuers ESG Data for Bond Investing ESG Reporting Sustainability, and Job Postings Data and Salary Data from Google for Jobs, LinkedIn, Indeed, Glassdoor, and more Real-Time API. You can compare the best Job Postings Data providers and products via Datarade’s data marketplace and get the right data for your use case.

ExtractAlpha's Innovation Model - select the most innovative stocks for outperformance

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