Beyond America: ProPicks AI Introduces Stock-Picking Strategies In 11 New Markets

Beyond America: ProPicks AI Introduces Stock-Picking Strategies In 11 New Markets

What's New  | Jan 28, 2025 03:35AM ET

In a major upgrade of our AI-powered stock-picking capabilities, ProPicks AI is expanding beyond US markets to analyze and identify winning stocks for 11 new markets in Brazil, Canada, France, Germany, India, Italy, Korea, Mexico, Saudi Arabia, Spain, and Turkey.

We recently published the results of ProPicks AI in its first year after launch, with a staggering +84% gain for our top Tech Titans strategy – double the S&P 500’s performance in one of the most bullish years in history.

Introducing this power, insight, and success to Investing.com’s global coverage is a wish come true among retail investors in local markets who are thirsty for a competitive edge. Having data-filtered stock selections means they can avoid the emotional bias that often leads to decision paralysis.

How Local Markets Benefit from Global AI Stock Selection

By analyzing over 15,000 companies across major global exchanges, ProPicks AI has developed a more nuanced understanding of what makes a stock successful in any market environment.

Just as neural networks become more sophisticated when exposed to diverse data, our AI gains deeper insights by analyzing multiple markets and exchanges. This process, known in AI research as transfer learning 1, means that knowledge gained from analyzing different markets such as the US, Germany, and Spain, helps identify winning stocks in new markets, and vice versa.

"When we train our AI on multiple markets, it discovers universal patterns of successful companies that transcend geographical boundaries," explains Andy Pai, VP of Subscription Products at Investing.com. "Our experience with US markets provides valuable insights for analyzing companies in other regions, and in turn, this broader exposure helps refine our US stock selection process."

Learn more about the science behind ProPicks AI.

New Strategies for Exciting International Markets

Our expansion introduces several new market-specific strategies, each powered by the same sophisticated AI that doubled the S&P 500's returns in its first year of US stock selection. Here's a list of all 38 localized strategies including our 11 new markets for ProPicks AI:

Getting Started with ProPicks AI

Step 1. Choose your AI-powered investment strategy

  • Select the strategy (you can choose more than one) that matches your goals, risk preferences, and comfort level.

Step 2. Use it as an idea generator to source new monthly stock picks

  • Focus on newly added stocks: Conduct in-depth analysis; Review fundamentals; Compare to peers; Consider the key stats that matter to you most — like dividend yield or revenue growth; Utilize premium data like Fair Value, ProTips, and Company Health Score.
  • Make trades aligned with your strategy and risk preferences.

If you want to follow the AI-powered strategies one-to-one in order to match their performance, you’ll need to choose the entire monthly portfolio of stocks and hold them equally weighted. Then check the monthly updates sent via email, and posted on our platform.

Note that it takes some effort to recalculate and rebalance the stocks equally. Also, buying and selling monthly may have tax implications for capital gains, as well as transaction fees depending on your location and broker.

We always recommend doing your own due diligence as past performance doesn’t guarantee future returns.

The Future of AI-Powered Investing

With this expansion, ProPicks AI is setting new standards for sophisticated investment analysis. By combining local market expertise with global perspective, we're helping investors make smarter decisions across all markets.

"This is just the beginning," notes Pai. "As our AI continues to learn from more markets and data points, its ability to identify winning stocks will only get stronger."

Ready to experience the enhanced power of ProPicks AI? Explore all ProPIcks AI strategies.

Footnotes

  1. Wang, J., Ge, Y., Hu, X., Luo, P., & Jin, S. (2023). "Training-Free Structured Diffusion Guidance." arXiv preprint arXiv:2310.02994. ↩

 

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