We Let AI Pick Stocks — It’s Up 111%+ Since: Here’s Its Rationale


If you follow our regular updates, you know that our actions picker fueled in AI has already doubled the money from those who have followed it since the launch in November 2023, offering an explosive return of 111.04% of the real world.

It is an amazing outcry of 72.25% over the same period.

But even despite the breathtaking results, asking investors to blindly follow the choices of AI always seems to be a dangerous game to play for many.

This is exactly why we introduced the last upgrade to the investment of propicks propicks, which offers total transparency in the logic behind each selection of stock.

You can now see, in real time, the key measures that have led each choice, how they ranked in importance and what triggered the inclusion, exclusion or repluration of a stock.

And if you are ready to act on these ideas, there are good news:

As part of our summer sale, you can now have full access to the latest choices of stocks and justifications for propicks AI to just under $ 7 per month, using this link.

*Already an InvestingPro member? Then jump directly to the current list of choices and explore the justification behind each choice.

Also discover the video below with a full explanation in depth of upgrading the justification of AI propicks:

So what is Propicks Ai and how does it work?

Propicks AI is the selection system for owner investing.com shares designed to surpass references using automatic learning and financial modeling. Each month, Propicks reinstalls the complete model and refreshes strategies with a new list of fundamentally sound stocks with a break in rupture.

What distinguishes it is that it was not based on static rules or filters. Instead, he treats 150 market -based variables and financialincluding:

Form of EPS growth cash flow

All this is trained on more than 15 years of global data and updated monthly to follow the evolution of market conditions.

The result is a dynamic and data -focused list with a statistical edge.

But while the model …

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