On August 22, 2025, Hong Kong — The AI-driven market intelligence platform Edgen today announced a series of significant platform upgrades, with core highlights including AI-generated stock recommendations, stock ratings, and price predictions. At the same time, the company launched a brand new market report system and upgraded its proprietary model EDGM, bringing unprecedented speed and depth to investment research.
AI Stock Recommendations and Ratings: Faster Market Clarity
The new AI stock recommendation feature relies on Edgen's multi-agent system to rapidly and accurately uncover stock investment opportunities. Users can now directly see which stocks are identified as high-potential targets, rated and ranked by AI from multiple dimensions.
The stock rating feature condenses company performance into a transparent scoring framework, providing a quick way for institutional and retail investors to distinguish between strong and weak companies. Combined with price predictions, investors can anticipate potential trends in advance rather than react passively afterward, enabling sharper and more efficient decision-making. All signals come from trained AI agents capable of large-scale scanning and evaluation.
Market Reports: Research at Your Fingertips
Edgen's new market report feature allows users to obtain professional-level research in less than 1 second. Users can directly ask, “Should I buy this stock?” or “Give me a prediction for [stock code],” and the platform will instantly generate structured analyses, including financial data, market momentum, and forward-looking scenarios, all compiled into a clear and readable report.
This capability is supported by the upgraded EDGM proprietary model, which can produce results almost instantaneously. The process that previously required hours of manual research, comparing analyst notes, and piecing together market commentary can now be completed in seconds with insights provided by AI.
Multi-Agent Intelligence: Personalized, Executable, Actionable
Edgen's vision extends beyond static recommendations. Its multi-agent architecture introduces dynamic discovery, exploration, recommendation, and rating processes. Each agent has specific analytical focuses, such as technical signal analysis, market trend identification, or uncovering undervalued opportunities, ultimately merging the results to form a unified perspective for users.
What sets it apart from other platforms is its personalization. Each recommendation is tailored to user preferences, with agents continuously learning and adjusting over time. More importantly, every asset displayed on the Edgen platform can not only be rated but can also be traded directly through AI agents, truly bridging the complete link from analysis to execution.
This also points to Edgen's long-term vision: to create an investment agent that deeply understands your investment preferences like a trusted advisor. It does not provide one-size-fits-all research but builds an adaptive system that understands user concerns and acts accordingly.
New Standards in Investment Research
With the launch of AI stock recommendations, ratings, predictions, and market reports, along with the high-speed capabilities of EDGM and the continuous evolution of the multi-agent system, Edgen is establishing a new standard in investment intelligence. Its goal is clear: reduce friction, expand insights, and make professional-level analysis instantly accessible to every investor.
About Edgen
Edgen is the AI co-pilot for investors, aimed at addressing the issues of market data overload and fragmentation. It intelligently routes user queries to hundreds of tools and data sources, combining AI assistants, real-time social sentiment analysis, and blockchain analysis to generate personalized research outcomes, helping optimize portfolios and easily identify market entry points.
Edgen is supported by renowned investment institutions such as Framework Ventures and North Island Ventures, with team members comprising former Wall Street quantitative traders and core Web3 protocol developers, building cognitive infrastructure for the next generation of open finance.
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