Berenson Acquisition Corp. I Class A Common Stock (AMEX:BACA)

Real-time price: | Most recent change:0.00%

Berenson Acquisition Corp. I is a blank check company. It intends to effect a merger, capital stock exchange, asset acquisition, stock purchase, reorganization or related business combination with one or more businesses. Berenson Acquisition Corp. I is based in New York....

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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 31 January 2026

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The Trump administration expects to reach an interim partial trade deal with China.

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2019-11-05 07:41:00 Tuesday ET

The Trump administration expects to reach an interim partial trade deal with China.

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Lyft seeks to go public with a dual-class stock ownership structure that allows the co-founders to retain significant influence.

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Lyft seeks to go public with a dual-class stock ownership structure that allows the co-founders to retain significant influence.

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Fiona Sydney

2019-09-01 10:31:00 Sunday ET

Most artificial intelligence applications cannot figure out the intricate nuances of natural language and facial recognition.

Most artificial intelligence applications cannot figure out the intricate nuances of natural language and facial recognition. These intricate nuances repres

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