Meritz Securities Launches MOUM AI Trading Platform

Meritz Securities is set to deploy its next-generation investment platform, MOUM, which fundamentally restructures the mobile trading experience by placing artificial intelligence at the core of the user journey. According to reporting by GN stocks/chips, the platform is designed to replace the fragmented workflow of traditional Mobile Trading Systems (MTS) where investors must navigate multiple discrete menus for data retrieval, news review, and order execution. The new system interprets natural language queries to simultaneously identify investment candidates and provide the necessary analytical context, such as earnings trends and price movements, within a single continuous flow.

The strategic rationale for MOUM addresses a specific structural limitation in current brokerage applications: as product ranges expand to include domestic and foreign equities, bonds, funds, and pension products, the interface becomes increasingly complex. Historically, this complexity forced users to possess detailed knowledge of the app’s architecture to locate specific functions. Meritz Securities aims to eliminate this friction by allowing the AI to interpret the user's investment intent directly. Instead of the investor adapting to the software’s menu structure, the software adapts to the user’s specific conditions, thereby unifying the previously scattered processes of information gathering and transaction execution.

AI Replaces Manual Menu Navigation

The operational model of MOUM shifts the burden of search from the user to the algorithm. In a standard MTS environment, identifying a specific investment opportunity, such as semiconductor stocks with improving earnings but lagging price appreciation, requires manual input of multiple filter conditions and separate verification of corporate data. Under the MOUM framework, the user inputs this requirement in plain text. The AI then processes the intent, filters the relevant stock universe, and presents the candidates alongside their fundamental and technical metrics. This integration ensures that the decision-making phase and the transaction phase occur within the same logical sequence, reducing the cognitive load associated with switching between different application screens.

This approach directly targets the inefficiency of current multi-platform workflows, where investors often cross-reference portal news, brokerage reports, and charting tools before finalizing a trade. By consolidating these data streams, Meritz Securities intends to create a seamless loop where the identification of an opportunity immediately precedes the ability to act on it. The platform does not merely supplement existing functions but replaces the underlying logic of how investors interact with market data, prioritizing conversational clarity over hierarchical menu navigation.

Unifying Analysis and Execution

The core business objective of MOUM is to close the gap between information retrieval and capital deployment. Current industry standards often scatter the components of a trading decision across various digital touchpoints, creating friction that can delay execution. Meritz Securities’ strategy is to unify this process within its proprietary application, ensuring that the data required for an informed decision—such as foreign buying trends or recent earnings reports—is available in the same view as the order entry interface. This consolidation is positioned as a competitive differentiator in a sector increasingly focused on generative AI capabilities that understand customer intent rather than just summarizing data.

Market Shift Toward Intent-Driven Trading

The deployment of MOUM reflects a broader industry trend where securities firms are moving beyond basic AI summarization tools. The focus is shifting toward systems that can connect disparate data points and guide the user through the entire transaction lifecycle. By allowing investors to specify conditions such as