Signals by TradeSmith Revealed at AI Signals Trading Event
TradeSmith, a financial technology company specializing in data-driven investing tools, today announced its upcoming AI Signals Trading Event. The virtual event is scheduled for Wednesday, April 22, 2026, at 10:00 a.m. Eastern Time.
TradeSmith CEO Keith Kaplan will lead the session, presenting the company’s latest development in trading technology. The event will introduce attendees to Behavioral Profile Analysis (BPA), a new application of artificial intelligence designed to analyze individual stock behavior.
About the Technology
Behavioral Profile Analysis represents a distinct approach to stock evaluation. Traditional fundamental analysis examines company valuation and financial metrics, while technical analysis focuses on price patterns and indicators. BPA, by contrast, constructs individualized behavioral profiles for stocks.
The system develops a unique profile for each of more than 2,467 stocks by examining historical patterns in price action, volume, volatility, calendar factors, and other data points. It then scans daily market conditions to identify alignments that match the specific behavioral characteristics of each stock.
The AI evaluates millions of potential trade combinations across the covered universe each day. Users of the platform can input any ticker symbol from the supported list to view tailored signal information, including projected setup details based on the stock’s profile.
This technology builds on TradeSmith’s 21-year history of developing quantitative tools aimed at helping investors identify patterns in market data. The company has dedicated more than a year and significant resources to the development and testing of the BPA system.
The AI Signals Trading Event Details and Agenda
The AI Signals Trading Event will provide an overview of the Behavioral Profile Analysis approach and its implementation in the new Signals by TradeSmith research.
Keith Kaplan will demonstrate how the system operates, including the process of generating daily signals for individual stocks.
Key topics to be covered include:
- The methodology behind building and applying behavioral profiles to stocks
- How the AI processes large volumes of market data to detect pattern alignments
- Features of the AI Signals Trading platform, such as daily refreshed signals and ticker-specific analysis
- Considerations for using data-driven signals in varying market environments
- TradeSmith’s perspective on current market dynamics and potential implications for trading strategies
Attendees will receive information on accessing a final beta version of the AI Signals Trading system. Registration for the event grants immediate access to the beta platform, allowing participants to explore the tool with real stock tickers prior to the live presentation.
A preparatory three-part video series will be made available to registrants in advance. The videos address:
- The conceptual foundation of detecting stock-specific patterns
- An overview of the AI system architecture
- Application of behavioral analysis across different market conditions
Participants are encouraged to log in approximately 15 minutes early on April 22 to ensure technical readiness. Note-taking materials are recommended for the live demonstration and discussion.
Registration Information
The event is open to interested investors and traders at no cost. Registration is available through TradeSmith’s designated event page. Upon registration, participants will receive confirmation details, access instructions for the beta system, and links to the preparatory video series.
The event will be conducted as a live virtual broadcast. A recording may be made available afterward for those unable to attend at the scheduled time, subject to TradeSmith’s standard practices.
About Keith Kaplan and TradeSmith
Keith Kaplan serves as CEO of TradeSmith. With a background as a software architect spanning more than 25 years, Kaplan has focused on developing accessible technology platforms that apply quantitative methods to investment decision-making. He leads the company’s efforts to translate complex data analysis into practical tools for individual investors.
TradeSmith provides a suite of software and research services designed to support data-informed investing. The company’s platforms assist users in monitoring market trends, analyzing securities, and managing investment information. TradeSmith tools are utilized by investors in multiple countries to track and evaluate assets under management.
The company emphasizes the removal of emotional factors from investment processes through systematic, technology-supported approaches.
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