iLearningEngines Inc. Common Stock (NASDAQ:AILE)

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iLearningEngines Inc. is an AI-powered learning automation and information intelligence. It serves Healthcare, Education, Insurance, Retail, Oil & Gas / Energy, Manufacturing and Government market. iLearningEngines Inc., formerly known as Arrowroot Acquisition Corp., is based in BETHESDA, Md....

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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 10 January 2026

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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 Palantir (U.S. stock symbol: $PLTR).

Olivia London

2025-10-04 13:37:00 Saturday 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 Palantir (U.S. stock symbol: $PLTR).

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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Yale economist Stephen Roach warns that America has much to lose from the current trade war with China for a few reasons.

Joseph Corr

2018-07-13 09:41:00 Friday ET

Yale economist Stephen Roach warns that America has much to lose from the current trade war with China for a few reasons.

Yale economist Stephen Roach warns that America has much to lose from the current trade war with China for a few reasons. First, America is highly dependent

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Timothy Geithner shares his reflections on the post-crisis macro financial stress tests for U.S. banks.

Fiona Sydney

2023-04-07 12:29:00 Friday ET

Timothy Geithner shares his reflections on the post-crisis macro financial stress tests for U.S. banks.

Timothy Geithner shares his reflections on the post-crisis macro financial stress tests for U.S. banks. Timothy Geithner (2014)   Macrofinanci

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President Trump promises a great trade deal with China as Americans mull over mid-term elections.

Laura Hermes

2018-11-13 12:30:00 Tuesday ET

President Trump promises a great trade deal with China as Americans mull over mid-term elections.

President Trump promises a great trade deal with China as Americans mull over mid-term elections. President Trump wants to reach a trade accord with Chinese

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Tech titans from Apple and Amazon to Microsoft and Google can benefit from the G.O.P. tax reform.

James Campbell

2017-12-07 08:31:00 Thursday ET

Tech titans from Apple and Amazon to Microsoft and Google can benefit from the G.O.P. tax reform.

Large multinational tech firms such as Facebook, Apple, Microsoft, Google, and Amazon can benefit much from the G.O.P. tax reform. A recent stock research r

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Ramit Sethi suggests that it is important to invest in long-term gains instead of paying attention to daily dips and trends.

John Fourier

2018-10-30 10:41:00 Tuesday ET

Ramit Sethi suggests that it is important to invest in long-term gains instead of paying attention to daily dips and trends.

Personal finance author Ramit Sethi suggests that it is important to invest in long-term gains instead of paying attention to daily dips and trends. It

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