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private:newconstructs
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64890
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Feb 26th, 2023 12:00AM
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New Constructs
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1.4K
|
26.00
|
Open
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Financial Services
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Feb 26th, 2023 03:44PM
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Feb 26th, 2023 03:44PM
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New Constructs leverages reliable fundamental data (https://bit.ly/381hKF1) to provide unconflicted insights into the fundamentals and valuation of private and public businesses. Combining human expertise with cutting-edge machine learning (ML) technologies (featured by Harvard Business School: https://hbs.me/308BaTX), the firm shines a light in the dark corners (e.g. footnotes) of hundreds of thousands of corporate financial filings to reveal critical details that drive uniquely comprehensive and independent credit and equity investment ratings, valuation models and research tools.
The Journal of Financial Economics (https://bit.ly/3q6G8LI) reveals:
1. Legacy fundamental datasets suffer from significant inaccuracies, omissions and biases.
2. Only our “novel database” enables investors to overcome those flaws and apply reliable (https://bit.ly/303iuoQ) fundamental data in their research.
3. Our proprietary measures of Core Earnings (https://bit.ly/3bQVrD9) and Earnings Distortion (https://bit.ly/3uJkrF3) materially improve stock picking and forecasting of profits.
Harvard Business School and MIT Sloan are not the only institutions to write papers on the superiority of our data and research. Find more papers here (https://bit.ly/3uGW0Ih).
Now, all investors, not just Wall Street insiders, can access trustworthy research on the earnings and valuation of stocks, bonds, ETFs, and mutual funds. Elite money managers, advisors and institutions have relied (https://bit.ly/3sCT2mj) on us to lower risk and improve performance since 2004. See our client testimonials (https://bit.ly/3dZaa1G) and media coverage (https://bit.ly/3sxYDu2).
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Open
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fiduciary rule, valuation, research, earnings, fiduciary, duty of care, compliance, machine learning, artificial intelligence, natural language processing, ETFs, mutual funds, stocks, forensic accounting, and wealth management
|
Open
|
5110 Maryland Way
|
Brentwood
|
Tennessee
|
US
|
37027
|
|
New Constructs
|
Financials
|
General Financial
|
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private:newconstructs
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64890
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Feb 23rd, 2023 12:00AM
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New Constructs
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1.4K
|
26.00
|
Open
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Financial Services
|
Feb 23rd, 2023 06:39AM
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Feb 23rd, 2023 06:39AM
|
New Constructs leverages reliable fundamental data (https://bit.ly/381hKF1) to provide unconflicted insights into the fundamentals and valuation of private and public businesses. Combining human expertise with cutting-edge machine learning (ML) technologies (featured by Harvard Business School: https://hbs.me/308BaTX), the firm shines a light in the dark corners (e.g. footnotes) of hundreds of thousands of corporate financial filings to reveal critical details that drive uniquely comprehensive and independent credit and equity investment ratings, valuation models and research tools.
The Journal of Financial Economics (https://bit.ly/3q6G8LI) reveals:
1. Legacy fundamental datasets suffer from significant inaccuracies, omissions and biases.
2. Only our “novel database” enables investors to overcome those flaws and apply reliable (https://bit.ly/303iuoQ) fundamental data in their research.
3. Our proprietary measures of Core Earnings (https://bit.ly/3bQVrD9) and Earnings Distortion (https://bit.ly/3uJkrF3) materially improve stock picking and forecasting of profits.
Harvard Business School and MIT Sloan are not the only institutions to write papers on the superiority of our data and research. Find more papers here (https://bit.ly/3uGW0Ih).
Now, all investors, not just Wall Street insiders, can access trustworthy research on the earnings and valuation of stocks, bonds, ETFs, and mutual funds. Elite money managers, advisors and institutions have relied (https://bit.ly/3sCT2mj) on us to lower risk and improve performance since 2004. See our client testimonials (https://bit.ly/3dZaa1G) and media coverage (https://bit.ly/3sxYDu2).
|
Open
|
fiduciary rule, valuation, research, earnings, fiduciary, duty of care, compliance, machine learning, artificial intelligence, natural language processing, ETFs, mutual funds, stocks, forensic accounting, and wealth management
|
Open
|
5110 Maryland Way
|
Brentwood
|
Tennessee
|
US
|
37027
|
|
New Constructs
|
Financials
|
General Financial
|
|
private:newconstructs
|
64890
|
Feb 21st, 2023 12:00AM
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New Constructs
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1.4K
|
26.00
|
Open
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Financial Services
|
Feb 21st, 2023 02:17AM
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Feb 21st, 2023 02:17AM
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New Constructs leverages reliable fundamental data (https://bit.ly/381hKF1) to provide unconflicted insights into the fundamentals and valuation of private and public businesses. Combining human expertise with cutting-edge machine learning (ML) technologies (featured by Harvard Business School: https://hbs.me/308BaTX), the firm shines a light in the dark corners (e.g. footnotes) of hundreds of thousands of corporate financial filings to reveal critical details that drive uniquely comprehensive and independent credit and equity investment ratings, valuation models and research tools.
The Journal of Financial Economics (https://bit.ly/3q6G8LI) reveals:
1. Legacy fundamental datasets suffer from significant inaccuracies, omissions and biases.
2. Only our “novel database” enables investors to overcome those flaws and apply reliable (https://bit.ly/303iuoQ) fundamental data in their research.
3. Our proprietary measures of Core Earnings (https://bit.ly/3bQVrD9) and Earnings Distortion (https://bit.ly/3uJkrF3) materially improve stock picking and forecasting of profits.
Harvard Business School and MIT Sloan are not the only institutions to write papers on the superiority of our data and research. Find more papers here (https://bit.ly/3uGW0Ih).
Now, all investors, not just Wall Street insiders, can access trustworthy research on the earnings and valuation of stocks, bonds, ETFs, and mutual funds. Elite money managers, advisors and institutions have relied (https://bit.ly/3sCT2mj) on us to lower risk and improve performance since 2004. See our client testimonials (https://bit.ly/3dZaa1G) and media coverage (https://bit.ly/3sxYDu2).
|
Open
|
fiduciary rule, valuation, research, earnings, fiduciary, duty of care, compliance, machine learning, artificial intelligence, natural language processing, ETFs, mutual funds, stocks, forensic accounting, and wealth management
|
Open
|
5110 Maryland Way
|
Brentwood
|
Tennessee
|
US
|
37027
|
|
New Constructs
|
Financials
|
General Financial
|
|
private:newconstructs
|
64890
|
Feb 10th, 2023 12:00AM
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New Constructs
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1.4K
|
24.00
|
Open
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Financial Services
|
Feb 10th, 2023 08:47AM
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Feb 10th, 2023 08:47AM
|
New Constructs leverages reliable fundamental data (https://bit.ly/381hKF1) to provide unconflicted insights into the fundamentals and valuation of private and public businesses. Combining human expertise with cutting-edge machine learning (ML) technologies (featured by Harvard Business School: https://hbs.me/308BaTX), the firm shines a light in the dark corners (e.g. footnotes) of hundreds of thousands of corporate financial filings to reveal critical details that drive uniquely comprehensive and independent credit and equity investment ratings, valuation models and research tools.
The Journal of Financial Economics (https://bit.ly/3q6G8LI) reveals:
1. Legacy fundamental datasets suffer from significant inaccuracies, omissions and biases.
2. Only our “novel database” enables investors to overcome those flaws and apply reliable (https://bit.ly/303iuoQ) fundamental data in their research.
3. Our proprietary measures of Core Earnings (https://bit.ly/3bQVrD9) and Earnings Distortion (https://bit.ly/3uJkrF3) materially improve stock picking and forecasting of profits.
Harvard Business School and MIT Sloan are not the only institutions to write papers on the superiority of our data and research. Find more papers here (https://bit.ly/3uGW0Ih).
Now, all investors, not just Wall Street insiders, can access trustworthy research on the earnings and valuation of stocks, bonds, ETFs, and mutual funds. Elite money managers, advisors and institutions have relied (https://bit.ly/3sCT2mj) on us to lower risk and improve performance since 2004. See our client testimonials (https://bit.ly/3dZaa1G) and media coverage (https://bit.ly/3sxYDu2).
|
Open
|
fiduciary rule, valuation, research, earnings, fiduciary, duty of care, compliance, machine learning, artificial intelligence, natural language processing, ETFs, mutual funds, stocks, forensic accounting, and wealth management
|
Open
|
5110 Maryland Way
|
Brentwood
|
Tennessee
|
US
|
37027
|
|
New Constructs
|
Financials
|
General Financial
|
|
private:newconstructs
|
64890
|
Jan 20th, 2023 12:00AM
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New Constructs
|
1.4K
|
23.00
|
Open
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Financial Services
|
Jan 20th, 2023 06:55AM
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Jan 20th, 2023 06:55AM
|
New Constructs leverages reliable fundamental data (https://bit.ly/381hKF1) to provide unconflicted insights into the fundamentals and valuation of private and public businesses. Combining human expertise with cutting-edge machine learning (ML) technologies (featured by Harvard Business School: https://hbs.me/308BaTX), the firm shines a light in the dark corners (e.g. footnotes) of hundreds of thousands of corporate financial filings to reveal critical details that drive uniquely comprehensive and independent credit and equity investment ratings, valuation models and research tools.
The Journal of Financial Economics (https://bit.ly/3q6G8LI) reveals:
1. Legacy fundamental datasets suffer from significant inaccuracies, omissions and biases.
2. Only our “novel database” enables investors to overcome those flaws and apply reliable (https://bit.ly/303iuoQ) fundamental data in their research.
3. Our proprietary measures of Core Earnings (https://bit.ly/3bQVrD9) and Earnings Distortion (https://bit.ly/3uJkrF3) materially improve stock picking and forecasting of profits.
Harvard Business School and MIT Sloan are not the only institutions to write papers on the superiority of our data and research. Find more papers here (https://bit.ly/3uGW0Ih).
Now, all investors, not just Wall Street insiders, can access trustworthy research on the earnings and valuation of stocks, bonds, ETFs, and mutual funds. Elite money managers, advisors and institutions have relied (https://bit.ly/3sCT2mj) on us to lower risk and improve performance since 2004. See our client testimonials (https://bit.ly/3dZaa1G) and media coverage (https://bit.ly/3sxYDu2).
|
Open
|
fiduciary rule, valuation, research, earnings, fiduciary, duty of care, compliance, machine learning, artificial intelligence, natural language processing, ETFs, mutual funds, stocks, forensic accounting, wealth management
|
Open
|
5110 Maryland Way
|
Brentwood
|
Tennessee
|
US
|
37027
|
|
New Constructs
|
Financials
|
General Financial
|
|
private:newconstructs
|
64890
|
Jan 11th, 2023 12:00AM
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New Constructs
|
1.4K
|
24.00
|
Open
|
Financial Services
|
Jan 11th, 2023 04:07AM
|
Jan 11th, 2023 04:07AM
|
New Constructs leverages reliable fundamental data (https://bit.ly/381hKF1) to provide unconflicted insights into the fundamentals and valuation of private and public businesses. Combining human expertise with cutting-edge machine learning (ML) technologies (featured by Harvard Business School: https://www.linkedin.com/redir/general-malware-page?url=https%3A%2F%2Fhbs%2eme%2F308BaTX%29%2C the firm shines a light in the dark corners (e.g. footnotes) of hundreds of thousands of corporate financial filings to reveal critical details that drive uniquely comprehensive and independent credit and equity investment ratings, valuation models and research tools.
The Journal of Financial Economics (https://bit.ly/3q6G8LI) reveals:
1. Legacy fundamental datasets suffer from significant inaccuracies, omissions and biases.
2. Only our “novel database” enables investors to overcome those flaws and apply reliable (https://bit.ly/303iuoQ) fundamental data in their research.
3. Our proprietary measures of Core Earnings (https://bit.ly/3bQVrD9) and Earnings Distortion (https://bit.ly/3uJkrF3) materially improve stock picking and forecasting of profits.
Harvard Business School and MIT Sloan are not the only institutions to write papers on the superiority of our data and research. Find more papers here (https://bit.ly/3uGW0Ih).
Now, all investors, not just Wall Street insiders, can access trustworthy research on the earnings and valuation of stocks, bonds, ETFs, and mutual funds. Elite money managers, advisors and institutions have relied (https://bit.ly/3sCT2mj) on us to lower risk and improve performance since 2004. See our client testimonials (https://bit.ly/3dZaa1G) and media coverage (https://bit.ly/3sxYDu2).
|
Open
|
fiduciary rule, valuation, research, earnings, fiduciary, duty of care, compliance, machine learning, artificial intelligence, natural language processing, ETFs, mutual funds, stocks, forensic accounting, wealth management
|
Open
|
5110 Maryland Way
|
Brentwood
|
Tennessee
|
US
|
37027
|
|
New Constructs
|
Financials
|
General Financial
|
|
private:newconstructs
|
64890
|
Dec 19th, 2022 12:00AM
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New Constructs
|
1.3K
|
23.00
|
Open
|
Financial Services
|
Dec 18th, 2022 11:49PM
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Dec 18th, 2022 11:49PM
|
New Constructs leverages reliable fundamental data (https://bit.ly/381hKF1) to provide unconflicted insights into the fundamentals and valuation of private and public businesses. Combining human expertise with cutting-edge machine learning (ML) technologies (featured by Harvard Business School: https://hbs.me/308BaTX), the firm shines a light in the dark corners (e.g. footnotes) of hundreds of thousands of corporate financial filings to reveal critical details that drive uniquely comprehensive and independent credit and equity investment ratings, valuation models and research tools.
The Journal of Financial Economics (https://bit.ly/3q6G8LI) reveals:
1. Legacy fundamental datasets suffer from significant inaccuracies, omissions and biases.
2. Only our “novel database” enables investors to overcome those flaws and apply reliable (https://bit.ly/303iuoQ) fundamental data in their research.
3. Our proprietary measures of Core Earnings (https://bit.ly/3bQVrD9) and Earnings Distortion (https://bit.ly/3uJkrF3) materially improve stock picking and forecasting of profits.
Harvard Business School and MIT Sloan are not the only institutions to write papers on the superiority of our data and research. Find more papers here (https://bit.ly/3uGW0Ih).
Now, all investors, not just Wall Street insiders, can access trustworthy research on the earnings and valuation of stocks, bonds, ETFs, and mutual funds. Elite money managers, advisors and institutions have relied (https://bit.ly/3sCT2mj) on us to lower risk and improve performance since 2004. See our client testimonials (https://bit.ly/3dZaa1G) and media coverage (https://bit.ly/3sxYDu2).
|
Open
|
fiduciary rule, valuation, research, earnings, fiduciary, duty of care, compliance, machine learning, artificial intelligence, natural language processing, ETFs, mutual funds, stocks, forensic accounting, wealth management
|
Open
|
5110 Maryland Way
|
Brentwood
|
Tennessee
|
US
|
37027
|
|
New Constructs
|
Financials
|
General Financial
|
|
private:newconstructs
|
64890
|
Nov 22nd, 2022 12:00AM
|
New Constructs
|
1.3K
|
23.00
|
Open
|
Financial Services
|
Nov 22nd, 2022 04:40AM
|
Nov 22nd, 2022 04:40AM
|
New Constructs leverages reliable fundamental data (https://bit.ly/381hKF1) to provide unconflicted insights into the fundamentals and valuation of private and public businesses. Combining human expertise with cutting-edge machine learning (ML) technologies (featured by Harvard Business School: https://hbs.me/308BaTX), the firm shines a light in the dark corners (e.g. footnotes) of hundreds of thousands of corporate financial filings to reveal critical details that drive uniquely comprehensive and independent credit and equity investment ratings, valuation models and research tools.
The Journal of Financial Economics (https://bit.ly/3q6G8LI) reveals:
1. Legacy fundamental datasets suffer from significant inaccuracies, omissions and biases.
2. Only our “novel database” enables investors to overcome those flaws and apply reliable (https://bit.ly/303iuoQ) fundamental data in their research.
3. Our proprietary measures of Core Earnings (https://bit.ly/3bQVrD9) and Earnings Distortion (https://bit.ly/3uJkrF3) materially improve stock picking and forecasting of profits.
Harvard Business School and MIT Sloan are not the only institutions to write papers on the superiority of our data and research. Find more papers here (https://bit.ly/3uGW0Ih).
Now, all investors, not just Wall Street insiders, can access trustworthy research on the earnings and valuation of stocks, bonds, ETFs, and mutual funds. Elite money managers, advisors and institutions have relied (https://bit.ly/3sCT2mj) on us to lower risk and improve performance since 2004. See our client testimonials (https://bit.ly/3dZaa1G) and media coverage (https://bit.ly/3sxYDu2).
|
Open
|
fiduciary rule, valuation, research, earnings, fiduciary, duty of care, compliance, machine learning, artificial intelligence, natural language processing, ETFs, mutual funds, stocks, forensic accounting, wealth management
|
Open
|
5110 Maryland Way
|
Brentwood
|
Tennessee
|
US
|
37027
|
|
New Constructs
|
Financials
|
General Financial
|
|
private:newconstructs
|
64890
|
Oct 12th, 2022 12:00AM
|
New Constructs
|
1.3K
|
24.00
|
Open
|
Financial Services
|
Oct 12th, 2022 12:03PM
|
Oct 12th, 2022 12:03PM
|
New Constructs leverages reliable fundamental data (https://bit.ly/381hKF1) to provide unconflicted insights into the fundamentals and valuation of private and public businesses. Combining human expertise with cutting-edge machine learning (ML) technologies (featured by Harvard Business School: https://hbs.me/308BaTX), the firm shines a light in the dark corners (e.g. footnotes) of hundreds of thousands of corporate financial filings to reveal critical details that drive uniquely comprehensive and independent credit and equity investment ratings, valuation models and research tools.
The Journal of Financial Economics (https://bit.ly/3q6G8LI) reveals:
1. Legacy fundamental datasets suffer from significant inaccuracies, omissions and biases.
2. Only our “novel database” enables investors to overcome those flaws and apply reliable (https://bit.ly/303iuoQ) fundamental data in their research.
3. Our proprietary measures of Core Earnings (https://bit.ly/3bQVrD9) and Earnings Distortion (https://bit.ly/3uJkrF3) materially improve stock picking and forecasting of profits.
Harvard Business School and MIT Sloan are not the only institutions to write papers on the superiority of our data and research. Find more papers here (https://bit.ly/3uGW0Ih).
Now, all investors, not just Wall Street insiders, can access trustworthy research on the earnings and valuation of stocks, bonds, ETFs, and mutual funds. Elite money managers, advisors and institutions have relied (https://bit.ly/3sCT2mj) on us to lower risk and improve performance since 2004. See our client testimonials (https://bit.ly/3dZaa1G) and media coverage (https://bit.ly/3sxYDu2).
|
Open
|
fiduciary rule, valuation, research, earnings, fiduciary, duty of care, compliance, machine learning, artificial intelligence, natural language processing, ETFs, mutual funds, stocks, forensic accounting, wealth management
|
Open
|
5110 Maryland Way
|
Brentwood
|
Tennessee
|
US
|
37027
|
|
New Constructs
|
Financials
|
General Financial
|
|
private:newconstructs
|
64890
|
Aug 30th, 2022 12:00AM
|
New Constructs
|
1.3K
|
24.00
|
Open
|
Financial Services
|
Aug 29th, 2022 10:26PM
|
Aug 29th, 2022 10:26PM
|
New Constructs leverages reliable fundamental data (https://bit.ly/381hKF1) to provide unconflicted insights into the fundamentals and valuation of private and public businesses. Combining human expertise with cutting-edge machine learning (ML) technologies (featured by Harvard Business School: https://hbs.me/308BaTX), the firm shines a light in the dark corners (e.g. footnotes) of hundreds of thousands of corporate financial filings to reveal critical details that drive uniquely comprehensive and independent credit and equity investment ratings, valuation models and research tools.
The Journal of Financial Economics (https://bit.ly/3q6G8LI) reveals:
1. Legacy fundamental datasets suffer from significant inaccuracies, omissions and biases.
2. Only our “novel database” enables investors to overcome those flaws and apply reliable (https://bit.ly/303iuoQ) fundamental data in their research.
3. Our proprietary measures of Core Earnings (https://bit.ly/3bQVrD9) and Earnings Distortion (https://bit.ly/3uJkrF3) materially improve stock picking and forecasting of profits.
Harvard Business School and MIT Sloan are not the only institutions to write papers on the superiority of our data and research. Find more papers here (https://bit.ly/3uGW0Ih).
Now, all investors, not just Wall Street insiders, can access trustworthy research on the earnings and valuation of stocks, bonds, ETFs, and mutual funds. Elite money managers, advisors and institutions have relied (https://bit.ly/3sCT2mj) on us to lower risk and improve performance since 2004. See our client testimonials (https://bit.ly/3dZaa1G) and media coverage (https://bit.ly/3sxYDu2).
|
Open
|
fiduciary rule, valuation, research, earnings, fiduciary, duty of care, compliance, machine learning, artificial intelligence, natural language processing, ETFs, mutual funds, stocks, forensic accounting, wealth management
|
Open
|
5110 Maryland Way
|
Brentwood
|
Tennessee
|
US
|
37027
|
|
New Constructs
|
Financials
|
General Financial
|