Spot the best trades — before they occur
sensitivity to market swings, reputation with investors, and more. And that means, over time, with enough data, each stock yields its own behavioral profile... its own thumbprint... signaling consistently winning trades throughout history. We find these trades using AI – in a total vacuum. And honestly, if that surprises you, Adam... You haven’t been paying attention to history at all... ADAM: How do you mean? Secret dates back to FBI “cold case” KEITH: Suppose you work for the FBI. And I ask you to identify one of the most wanted killers in U.S. history. But I say, “Sorry, Adam, you have nothing to work with. No photo... no DNA... no blood samples... nothing.” ADAM: I’d say, “Good luck.” KEITH: Well, for 18 years, the FBI pursued a single man who was responsible for killing 3 people and seriously injuring 23 others. And even with a $50 million budget and 150 full-time investigators, they had nothing on him. The guy was a ghost. In nearly two decades, the only clue they received was a drawing by a witness in Salt Lake City. Look familiar? ADAM: Oh, sure... the Unabomber. KEITH: Adam, people see
And they wonder, how do we find these signals? Well, it’s not all that different from how we eventually caught the Unabomber, all the way back in the nineties, before AI. ADAM: Ah, c’mon. Now you’re just pulling my leg... KEITH: This is maybe the best part of our newest AI, Adam. I touched on it earlier. In short, the engine that powers our AI Signals Trading system is based on the same language learning model that powers ChatGPT. Do you know how ChatGPT works? ADAM: I do, yeah... It looks for language patterns. First... it gets fed with massive language samples. Like the New York Times’ entire archive. Then... it looks for statistical relationships between words, phrases, and ideas, so that when you type a prompt, it predicts the best reply. KEITH: We use the same principle... But for numbers. In other words, we feed our system with ALL the data points related to interest rates, RSI, Bollinger Bands, the 10-year U.S. Treasury, DMI configurations, overbought and oversold patterns, intraday trading ranges, EMA and more, for each of 2,467 stocks dating back 10 years... Essentially, we train the system with all the data we can find for every single company on the market, for a decade. Then we instruct the AI to find statistically significant,
brand-new patterns – the more obscure, the better. For example, our AI detected a pattern in Disney involving the stock’s highest and lowest price in a single day... its Upper Bollinger Band... and how many of its customers
ride Space Mountain each year. This pattern is called a signal. And when it pops up, you do one thing immediately. Buy the stock ... because 85% of the
the ridiculously strange signals we’ve found with our system... like this signal for a footwear company, which resulted in a 21.4% gain in 4 days on our beta recommendation. A gain you could have boosted to 158% in 4 days.
time, it results in a profit over the next 9 days, on average. Last year, we saw a 4.3% gain in 72 hours on Disney.
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