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BGC Group Inc. Class A Common Stock (NASDAQ:BGC)

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

BGC Group Inc. is a brokerage and financial technology company, through its various affiliates, specializes in the brokerage of a broad range of products, including Fixed Income, Foreign Exchange, Equities, Energy and Commodities, Shipping and Futures. BGC Group Inc., formerly known as BGC Partners Inc., 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 28 March 2026

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House of Representatives considers a government expenditure bill with border wall finance and so sets up a shutdown stalemate with Senate.

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House of Representatives considers a government expenditure bill with border wall finance and so sets up a shutdown stalemate with Senate.

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2019-07-15 16:37:00 Monday ET

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U.S. trading partners such as the European Union, Canada, China, Japan, Mexico, and Russia voice their concern at the WTO.

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2018-07-05 13:40:00 Thursday ET

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Addendum on empirical tests of multi-factor models for asset return prediction

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Addendum on empirical tests of multi-factor models for asset return prediction

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