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Webull HK Unveils Vega AI, Advancing from Professional Trading to an AI-Powered Smart Investment Platform
Integrating professional investment research, personalized strategies and global market capabilities to empower retail investors in making informed decisions
HONG KONG, Aug. 26, 2026 /PRNewswire/ — Webull Securities Limited (“Webull HK”), a subsidiary of Webull Corporation (NASDAQ: BULL), the owner of the Webull trading platform, unveiled Vega AI, its new artificial intelligence-powered product, at the “Webull HK Strategy and Vega AI Launch” Event. The event attracted more than 160 media representatives, financial influencers, institutional partners, clients and business partners. It featured strategic presentations, product demonstrations, client sharing sessions and a cross-disciplinary panel discussion examining the changes and opportunities that AI is bringing to the investment landscape.
Built on Webull HK’s global market presence, professional investment research capabilities and financial technology <a href="https://bitcomme.com/prodx-and-hy-vee-extend-partnership-expand-product-data-infrastructure-and-ecommerce-personalization/” title=”Prodx and Hy-Vee Extend Partnership, Expand Product Data Infrastructure and Ecommerce Personalization”>infrastructure, Vega AI is designed to deliver a smarter, more intuitive and personalized investment experience for retail investors.
Mr. Wang Haichen, Chief Executive Officer of Webull HK, said: “AI is transforming how investors access information, understand markets and develop strategies. Its true value, however, lies not in the number of features it offers, but in its ability to connect professional investment research, global market opportunities and the trading experience effectively. The launch of Vega AI marks Webull HK’s next step from professional trading towards smart investment. We aim to make professional investment tools more intuitive, efficient and personalized, enabling more retail investors to use them with confidence.”
Three Core Use Cases Covering Investment Research and Trading Strategy
Unlike many AI investment tools that focus primarily on general enquiries, information summaries or standalone analytical functions, Vega AI brings together market analysis, company research, personalized strategies and one-click investing within a single workflow.
Users can identify potential opportunities, understand the underlying analytical rationale, review trading strategy and proceed to order placement without leaving the platform. Vega AI is designed to provide market insights and decision-making support rather than make decisions on a user’s behalf. All final decisions and trading instructions remain under the user’s control.
Vega AI’s three core use cases include:
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1. Intelligent Discovery of Investment Opportunities |
Vega AI consolidates key market developments and relevant signals, analyzing individual stock performance and broader market trends across multiple dimensions. This helps users identify securities that may warrant further research while reducing the time required to search, organise and filter large volumes of information. The product also provides daily stock briefings, enabling users to review company performance and market developments quickly before conducting further enquiries and in-depth analysis. To accommodate the preferences of Hong Kong users, Vega AI also supports real-time voice interaction, making the investment research process more natural and direct. |
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2. Intelligent Interpretation of Corporate Earnings |
Vega AI organizes key information before and after corporate earnings announcements. It analyses financial reports from perspectives including the sustainability of growth, the quality of core earnings and differences between reported performance and market expectations. It also identifies factors that may affect a company’s fundamentals. Through Vega AI’s real-time, interactive enquiry function, users can explore the relationships among financial indicators, business performance and market reactions. This enables them to move beyond reading financial data towards gaining a deeper understanding of a company’s operations and earnings performance, thereby improving the efficiency of fundamental research. |
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3. Personalized Trading Strategies |
Users can specify their investment themes, objectives and risk preferences through Vega AI. The system then provides allocation references supported by clear explanations, visualizations and ongoing review functionality. This helps users understand the considerations and potential risks underlying different allocation approaches. Unlike tools that provide analysis or suggestions without a direct path to execution, Vega AI allows users who have reviewed and confirmed an allocation to proceed directly to the order placement process through its one-click investing function. All trading instructions must be reviewed and confirmed by the user. |
