This System Turned $1,000 Into $250,000 Stansberry Investor Hour podcast

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Stansberry Investor Hour »
This System Turned $1,000 Into $250,000

7d ago 1:07:14

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On this week's Stansberry Investor Hour, Dan and Corey welcome Keith Kaplan back to the show. Keith is the CEO of our corporate affiliate TradeSmith. And he's excited to share a breakthrough technology that he and his team have worked tirelessly to develop...

Keith kicks off the show by discussing how you can use TradeSmith's new software to leverage stocks and short-term moves in order to generate income. It involves understanding both market seasonality and an individual stock's seasonality. Keith uses Tesla as an example and breaks down how he made 50% short-term gains just from reviewing past data trends. He notes that TradeSmith's data gets updated constantly, so if patterns change, users will know. After running 2.2 quintillion market tests, the TradeSmith team found the most optimal seasonality periods for 5,000 individual stocks and funds. And the numbers speak for themselves, with an 82.8% win rate and median gains of 6% over 15 trading days. (1:51)

Next, Keith goes further in depth about how the system works – including sending entry and exit alerts for each position – and how human biases come into play. He emphasizes that this tool is made for investors all across the interaction spectrum... So you can have TradeSmith fish for you and tell you which stocks to buy, or you can do the fishing yourself and use the system to research stocks, or a combination of the two. Keith also explores how TradeSmith's team looks at past cyclical patterns to select the best stocks. (21:16)

Finally, Keith shares how the algorithm works for options trading. In testing, it turned $1,000 into $250,000 over 16 years. Keith urges listeners to try the system with conservative position sizing and see for themselves the stellar results they'll get. It's all available in the Trade Cycles newsletter by TradeSmith. And as Keith hammers home, this technology is very advanced. Since no two stocks or funds are the same, no two algorithms end up being the same for them. (37:56)

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