CEO, Tradesmith
Keith Kaplan is the CEO of TradeSmith and a champion of individual investors. It’s his mission to provide individual investors with sophisticated, yet easy-to-use tools to help them make better decisions, risk less, and potentially make more with traditional stocks and cryptocurrencies.
Today, July 30, marks a major seasonal turning point, based on more than three decades of market data. What comes next?
When you fight technology, you lose. Sure, you might win a few rounds. But it will always end in a knockout… with you on the mat. So, if you’re trying to trade without AI these days, you’re effectively fighting a losing battle. Because your competition on the other side of the trade is already using it. Here’s how to fix that.
As computers grow more powerful and accessible, more investors are choosing to augment their instincts by tapping into cutting-edge tech. They’re using algorithmic portfolio management, predictive analytics, and advanced screeners among other tech tools. But none of them come close to the new AI-powered trading tool the TradeSmith team has developed. You can use it to pinpoint a stock’s “profit window” – the ideal timeframe to trade a stock on any given day. Here’s how it works…
While human investors react with fear, hesitation, or even overconfidence, a new breed of trading algorithm – like TradeSmith’s cutting-edge system, An-E (short for Analytical Engine) – is making precise, unemotional forecasts about where the market is heading next. And in today’s chaos, that edge is proving invaluable.
Volatility like we’ve seen presents a massive opportunity. It’s all built on a technology we’ve heard about nonstop for the past two years: artificial intelligence. And this AI trading algorithm could tell you exactly which stocks could turn a quick profit over the next month – while also showing you which to avoid.
By targeting quality stocks in sudden, steep downtrends, TradeSmith found you can profit from the ensuing snapback. As Keith Kaplan will show you today, it produced a win rate of 79.59% over 10 years of backtesting.
