Al Qureiyeh

| Quantamental Analyst

Al Qureiyeh is a master of algorithms.

He’s the lead analyst on our AI-based stock prediction model that has shown to beat the S&P 500 Index by by 94-to-1 over a decade, even through some of the worst market downturns in recent years.

This technology, which we’ve named IRVING AI, in honor of Dr. Martin Weiss’ father J. Irving Weiss, is at the heart of our AI Profit Machine publication.

So, it only makes sense that he is the best person to guide AI Profit Machine members through what promises to be a history-making investment journey.

But Al's no stranger to markets or the cutting-edge technology that can give investors an edge of their own.

Before joining Weiss, he worked developed an algorithm that beat the stock market by 11-to-1 for a multibillion-dollar hedge fund.

There, he also became fascinated with the processes of dissecting past returns and looking at ways to predict new ones.

He applied these techniques to forecast industry revenues and evaluate companies within his coverage area.

As Al's proficiency grew, so did his passion for data analysis and prediction on a larger scale.

The opportunity to delve deeper into analysis brought him to Weiss in 2019.

Right away, he found ways to enhance our Weiss Stock Ratings and Weiss Bank Ratings models. He dived deep into the data of major funds and banks. And he spotted a pattern among them.

That was, their adoption of quantitative — more specifically, “Quantamental” — approaches to improve performance and predictive accuracy.

He became inspired to explore and apply similar methodologies to our dataset.

More importantly, Al and the team remain laser-focused on the systems, ensuring that they work as expected and making improvements wherever possible.

Before becoming an analyst and artificial intelligence specialist, Al served as a professor of economics at Miami Dade College.

He holds master’s degrees from Stetson University and one of the leading institutions in America when it comes to artificial intelligence, Johns Hopkins University.