TidePro Kuala Lumpur Release: Institutional Sample of Traditional Listed Companies Entering RWA × AI Trial Phase

Recently, TidePro held an ecological launch event in Kuala Lumpur, Malaysia, focusing on the experimental implementation of Real World Assets (RWA) and artificial intelligence trading system architecture. According to data disclosed on-site, the user scale exceeded 500,000 on the first day of system registration.

The event was led by Ocean Group (HK:01991). Ocean Group is a Hong Kong enterprise with over thirty years of manufacturing and listing management background. The management emphasized on-site that entering the RWA field is not an extension of business, but a research attempt to explore whether the traditional capital governance framework can be migrated and how it can be reconstructed under digital financial conditions.

The group management introduced that they have completed the compliance qualification layout related to RWA in Singapore and are using an internally developed AI multi-agent system to explore the Web4.0 participation model in the Hong Kong stock market—this path points to the transition from "digitalization of asset information" to "digitalization of asset governance."

Ms. Shi Qi, Chairwoman of Ocean Group, delivered a speech.

Ms. Ashley, Business President of Ocean Group, gave a speech during the event.

Ecological Structure: Ocean Group, CoinVEX, and TidePro

During the event, the platform introduced the three-layer composition of the ecological framework:

Ocean Group
As the ecological主体, it provides the compliance foundation, governance system, and industrial resources of traditional listed companies.

CoinVEX
An RWA and AI quantitative exchange built by Ocean Group, responsible for the trading and liquidity system construction after the on-chain transformation of real assets.

TidePro
The first RWA quantitative strategy and AI agent platform under the CoinVEX system. TidePro aggregates multiple intelligent models (including GPT-4 Turbo, Claude 3 Opus, DeepSeek R1, BloombergGPT, etc.) and integrates the real trading experience of global traders, continuously learning and iterating in real markets to provide strategy and execution support for on-chain users, positioned as the core intelligent system of the CoinVEX ecosystem.

Overall, the three parties form a clear division of labor:

Ocean Group provides the traditional listing system and regulatory foundation, CoinVEX undertakes the construction of trading infrastructure, while TidePro is responsible for strategy intelligence and AI execution.

Asian Network Participation: Jointly Building an Early Scale Verification Environment

At the event, representatives from the Asian strategy community, including Chairman Chen Anzhi and Dr. Lai Caiyun, participated in the discussion, expressing their commitment to collaboratively promote ecological construction. According to on-site data, over 100 participating community and system organizations from multiple regions were present, including Datang Tianxia, Zhonghe International, and Juxin System.

The organizers expect that if the community expansion pace and user conversion remain stable, the registered scale is expected to exceed 6 million within three months. However, its sustainability depends on user retention, trading behavior structure, and the depth of real asset connection, which are long-term indicators that need to be tracked and verified.

RWA × AI: Market System Experiment and Technical Verification

Current discussions about RWA have shifted from "can assets be put on-chain" to "how on-chain assets are priced and operated." The focus is no longer on the issuance itself, but on whether a market system and participation mechanism can truly be established. This is particularly crucial for RWA such as Hong Kong stocks or real enterprises: they do not lack assets, but rather liquidity and a continuous pricing mechanism.

In this framework, AI is not seen as a tool for profit forecasting but is set as a participant, entering the market just like capital entities. The logic comes from the role model of RWA: users participate by holding tokens, entering the corresponding strategy ecosystem; the AI quantitative strategy model is abstracted into a participatory RWA strategy unit, allowing it to execute strategies in real market environments, learning and competing in volatility, rather than assuming outcomes in advance.

This model does not aim for AI to replace human judgment but to allow AI and human logic to continuously cross-verify, iterating strategies, identifying cycles, and adjusting risk exposure through real feedback. Profits are also layered back through the token mechanism: part comes from the real profits generated by the strategy, while another part comes from the market incentive layer, using tokens as rewards and distribution carriers.

The question to be verified is: after real assets and strategies are put on-chain, can a stable, liquid, and governance-logical value transmission system be formed over a longer period? Unlike the traditional crypto market that relies on "speculation—liquidity—leverage," this is an experiment at the institutional and market mechanism level, starting from roles and strategy participation, moving towards trading systems, and evolving into new economic operating methods. The core is not "can RWA be issued," but whether real assets (including Hong Kong stocks and real enterprises) can achieve continuous liquidity, sustainable price discovery, and verifiable settlement capability.

Conclusion: Transition from Concept Promotion to Institutional Exploration

The TidePro and CoinVEX systems are currently still in the research and experimental stage, but they have shown characteristics of RWA narratives transitioning from capital concepts to institutional design, market modeling, and cross-border compliance collaboration.

Their subsequent performance will depend on market data, compliance matching, user structure stability, and AI's risk performance in extreme market conditions.

Regardless of the outcome, this event marks the emergence of traditional listed company-led RWA × AI institutional practice samples in the Asian region, promoting RWA from "digital asset issuance" to a phase shift in "digital financial system construction."