Decoding the new rules for finding the next 10-baggers
Actual video of Dan’s computer using AI tools to crunch all the data.
“It felt like I was in a Bourne movie hacking into
a government server.” —Dan Steinhart
Actual video of Dan’s computer using AI tools to crunch all the data.
“It felt like I was in a Bourne movie hacking into
a government server.” —Dan Steinhart
RiskHedge just put out a free special report: The Ultimate Guide to Modern 10-Baggers.
This research project was inspired by the great Peter Lynch, who coined the term “10-bagger” and whose Magellan Fund achieved an annual return of 29.2%... growing from $18 million to $14 billion in a little over a decade.
If Lynch were investing professionally today, how would he adapt his approach to find modern 10-baggers?
To answer that question, chief analyst Stephen McBride partnered with RiskHedge co-founder (and former forensic accountant) Dan Steinhart to study every US stock in existence in the last 20 years.
By using a combination of AI and human analysis, they were able to classify—and ultimately quantify—the four core traits that tend to be shared by true 10-baggers.
Incredibly, it would have required a team of eight people to crunch and analyze all this data even a year ago. But now, a small team can pull it off, thanks to modern AI tools.
To get the free special report, simply sign up below.