Webull has launched a new artificial intelligence research tool called Vega Analyst. The feature is part of its existing Vega suite of AI products for investors.
The launch comes amid a broader shift in retail brokerage platforms toward embedding artificial intelligence into trading and research workflows. Over the past several months, firms such as eToro and Robinhood have introduced AI tools ranging from trading assistants to portfolio analysis features.
At the same time, newer entrants such as Moomoo have expanded into agent-based systems that allow users to connect external AI models directly to brokerage accounts.
Vega Analyst Delivers Stock Insights
Webull said Vega Analyst is designed to produce customized research reports on individual stocks. Users can select the areas they want to focus on, including company fundamentals, financial performance, valuation, market context, technical trends, and risk factors.
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The system generates reports in real time using the latest available market data. It also combines multiple forms of analysis into a single output, aiming to help users move more quickly from research to decision-making.
“As the volume and complexity of market data continues to grow, investors need tools that not only provide information, but help them understand what matters,” said Anthony Denier, Group President and U.S. CEO of Webull.
He added, “Vega Analyst builds on that idea by delivering personalized, AI-generated research that adapts to each investor’s focus, giving users a more structured way to analyze opportunities and make more informed decisions.”
Users Select Sections for AI Analysis
The Vega Analyst tool is modular, allowing users to build reports from selected sections, including company overview, financial, industry, valuation, key events, technical analysis, and risk alerts.
Each module covers a specific area such as business fundamentals, earnings and profitability, sector context, peer valuation, recent developments, price trends, and downside risks.
Report depth varies based on the number of selected modules, with more sections producing more detailed output.
