Hello, I’m Garrett Roth, co-founder of Stock Mind AI. I earned my PhD in Economics from Sunni Binghamton and currently serve as an associate professor of Economics at Ganon University. Our founding team brings together a wealth of expertise in fields such as Investments, Fintech, Corporate Finance, Macroeconomics, and Microeconomics. We are uniquely equipped to translate intricate academic theories into real-world Fintech applications.
Our goal is simple - to reshape the Fintech landscape by integrating advancements in machine learning into stock prediction tools. Here at Stock Mind AI, our advanced algorithms work tirelessly to create specialized investment strategies focusing on US-listed stocks.
Every month, our system collects data on hundreds of corporations renowned for their stable financial performance. Our machine learning algorithm then sifts through this massive data set, selecting between 15 to 40 stocks projected for strong performance based on our unique AI score.
Let’s talk numbers. From 2003 to 2023, Stock Mind AI has generated a total cumulative return of 2571%, vastly outpacing the market’s 69%. This isn’t just luck; it’s a testament to our system’s predictive power. Our annualized rate of return stands at an impressive 17.77%, compared to the market’s 10.24%. To put it in simple terms, if you had invested just $1 in Stock Mind AI in 2003, your investment would have ballooned to $25.70 by now, compared to just $6.10 in the market.
What about our yearly performance? We pride ourselves on the fact that we’ve beaten the market in most years since 2003. We are not just about a one-time win; we’re about consistent long-term success. But maybe you’re more interested in short-term performance. Well, on a month-to-month basis, we’ve also outperformed the market the majority of the time. Our algorithms are designed for both short-term responsiveness and long-term stability.
Beyond these headline numbers, additional metrics reinforce our performance edge. Our Sharpe ratio is higher, indicating better risk-adjusted returns. Our Sortino ratio is superior, showing better downside risk management. We also maintain a positive Alpha, and our max drawdown is lower than the market, making us a more resilient option during downturns.
So how do we achieve all of this? Unlike traditional methods, we make use of highly sophisticated algorithms that analyze nonlinear and high-dimensional data across more than 80 diverse financial indicators. Our data is real-time and as reported, providing a distinct advantage. We also place emphasis on both risk and return, supported by 20 years of robust backtesting.
Traditional methods, in contrast, are far less dynamic. They’re constrained by simplistic models, and their performance metrics are one-dimensional, focusing primarily on returns. These methods are easier to replicate, but that also means they lack a competitive edge.
At Stock Mind AI, we provide you with 15 to 40 monthly stock recommendations, forming a dynamic portfolio that stands out from the crowd, complete with rebalancing guidelines. In a world where the financial landscape is continually evolving, you need a trusted partner that stays ahead of the curve. That’s what Stock Mind AI is all about. We’re not just another Fintech company; we’re a team of experts committed to reshaping investment strategies through AI and machine learning. Join us on the journey to redefine what’s possible in the stock market.
