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Aqua Metals Inc. Common Stock (NASDAQ:AQMS)

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

Aqua Metals, Inc. is involved in the business of recycling lead through a process called AquaRefining(TM). Its AquaRefining process elements consists of non-toxic solvent that dissolves lead compounds and an electro-chemical process and electrolyze that converts the dissolved lead compounds into pure, primary grade lead. The Company's AquaRefining process generates outputs consists of primary lead ingots; lead acid batteries grade lead alloy ingots; cleaned plastic chips, recovered from battery casings and sulphuric acid. Aqua Metals, Inc. is based in Oakland, California....

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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 13 June 2026

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2018-08-25 12:33:00 Saturday ET

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2019-10-19 16:35:00 Saturday ET

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2018-09-13 19:38:00 Thursday ET

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2023-10-07 10:24:00 Saturday ET

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2017-04-25 06:35:00 Tuesday ET

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Empirical tests of multi-factor models for asset return prediction

Apple Boston

2022-02-25 00:00:00 Friday ET

Empirical tests of multi-factor models for asset return prediction

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