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First Trust Municipal High Income ETF (NASDAQ:FMHI)

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The Profile page gives you general information about a symbol, whether it's about the company or the contract. Barchart shows different data on the Profile page, depending on the symbol's asset type....

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Here we provide our AYA proprietary alpha stock signals for all premium members on our AYA fintech network platform. Specifically, a high Fama-French multi-factor dynamic conditional alpha suggests that the stock is likely to consistently outperform the broader stock market benchmarks such as S&P 500, Dow Jones, Nasdaq, Russell 3000, MSCI USA, and MSCI World etc. Since March 2023, our proprietary alpha stock signals retain U.S. Patent and Trademark Office (USPTO) fintech patent protection, approval, and accreditation for 20 years. Our homepage and blog articles provide more details on this proprietary alpha stock market investment model with robust long-term historical backtest evidence.

Sharpe-Lintner-Black CAPM alpha (Premium Members Only) Fama-French (1993) 3-factor alpha (Premium Members Only) Fama-French-Carhart 4-factor alpha (Premium Members Only) Fama-French (2015) 5-factor alpha (Premium Members Only) Fama-French-Carhart 6-factor alpha (Premium Members Only) Dynamic conditional 6-factor alpha (Premium Members Only) Last update: Saturday 1 November 2025

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Stock Synopsis: With a new Python program, we use, adapt, apply, and leverage each of the mainstream Gemini Gen AI models to conduct this comprehensive fundamental analysis of IonQ (U.S. stock symbol: $IONQ).

Olivia London

2025-10-01 10:29:00 Wednesday ET

Stock Synopsis: With a new Python program, we use, adapt, apply, and leverage each of the mainstream Gemini Gen AI models to conduct this comprehensive fundamental analysis of IonQ (U.S. stock symbol: $IONQ).

Stock Synopsis: With a new Python program, we use, adapt, apply, and leverage each of the mainstream Gemini Gen AI models to conduct this comprehensive fund

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Stock Synopsis: With a new Python program, we use, adapt, apply, and leverage each of the mainstream Gemini Gen AI models to conduct this comprehensive fundamental analysis of T-Mobile (U.S. stock symbol: $TMUS).

James Campbell

2025-10-06 10:27:00 Monday ET

Stock Synopsis: With a new Python program, we use, adapt, apply, and leverage each of the mainstream Gemini Gen AI models to conduct this comprehensive fundamental analysis of T-Mobile (U.S. stock symbol: $TMUS).

Stock Synopsis: With a new Python program, we use, adapt, apply, and leverage each of the mainstream Gemini Gen AI models to conduct this comprehensive fund

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President Trump imposes punitive tariffs on $60 billion Chinese imports in a brand-new trade war.

Laura Hermes

2018-03-25 08:39:00 Sunday ET

President Trump imposes punitive tariffs on $60 billion Chinese imports in a brand-new trade war.

President Trump imposes punitive tariffs on $60 billion Chinese imports in a brand-new trade war as China hits back with retaliatory tariffs on $3 billion U

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Larry Summers critiques that the Trump tax holiday for U.S. multinational corporations may cause inadvertent consequences.

Rose Prince

2017-01-17 12:42:00 Tuesday ET

Larry Summers critiques that the Trump tax holiday for U.S. multinational corporations may cause inadvertent consequences.

Former Treasury Secretary and Harvard President Larry Summers critiques that the Trump administration's generous tax holiday for American multinational

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McKinsey Global Institute analyzes 315 U.S. cities in terms of how tech automation affects their workers in the next 10 years.

Dan Rochefort

2019-08-10 21:44:00 Saturday ET

McKinsey Global Institute analyzes 315 U.S. cities in terms of how tech automation affects their workers in the next 10 years.

McKinsey Global Institute analyzes 315 U.S. cities and 3,000 counties in terms of how tech automation affects their workers in the next 5 to 10 years. This

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Corporate payout management

Fiona Sydney

2022-05-05 09:34:00 Thursday ET

Corporate payout management

Corporate payout management This corporate payout literature review rests on the recent survey article by Farre-Mensa, Michaely, and Schmalz (2014). Out

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