Smarter Stock Investing: Edgen Launches AI Predictions, Ratings, and Market Insights

On August 22, 2025, Hong Kong ------ the AI-driven market intelligence platform Edgen today announced a series of significant platform upgrades, with key 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 identify 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 the prediction for [stock code]", and the platform will instantly generate structured analyses, including financial data, market momentum, and forward-looking scenarios, all integrated 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 delivered by AI in just seconds.

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 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 also traded directly through AI agents, truly connecting the complete chain 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, aiming to solve the problems 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 results that help optimize portfolios and easily identify market entry points.

Edgen is supported by renowned investment firms 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.