Understanding the Predictability of Market Movements

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Keith Kaplan, CEO of TradeSmith, will present a new AI-powered trading system on April 22 at 10 a.m. Eastern, designed to identify high-probability stock setups. The system, which analyzes millions of potential trades, has historically shown a 90% or better success rate, outperforming the S&P 500 by approximately three-to-one over a one-year backtest.

TradeSmith operates from Baltimore, serving over 134,000 users managing more than $29 billion in assets. In internal tests, a sample of trades using this new system yielded an average gain of 2.6% over nine trading days, significantly surpassing the S&P 500’s performance of 0.4% during the same period.

Notably, the system has revealed remarkable trades, including gains of 126% in 72 hours for Caterpillar Inc. (CAT) and 365% in 30 days for Lockheed Martin Corp. (LMT). The event will also provide immediate access to the beta version of the software for users to explore its capabilities across 2,467 stocks.

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