KUALA LUMPUR, MALAYSIA – August 3, 2026 – OCEAN AI TECH SDN BHD, a Financial Technology (FinTech) and educational technology (EdTech) enterprise, today published its latest technical research paper titled “Large-Scale On-Chain Address Clustering Analysis: Observations on Token Distribution and Liquidity Dynamics.”
The report addresses one of the fundamental challenges in finance data analytics: filtering raw blockchain ledger noise to uncover meaningful capital distribution patterns and liquidity shifts. By deploying machine learning-driven entity resolution and weighted clustering algorithms on Amazon Web Services (AWS) infrastructure, OCEAN AI TECH outlines how raw wallet data can be transformed into structured market intelligence.
Key Technical Insights from the Report
Executive Commentary
“Raw on-chain data without entity clustering is like looking at a wall of unsorted code,” said Darren Fong, Founder of OCEAN AI TECH SDN BHD. “This research report demonstrates how modern data engineering can parse millions of daily ledger transactions into clear, transparent liquidity intelligence for market participants.”
Ethan, Chief Technology Officer at OCEAN AI TECH, highlighted the cloud architecture required: “Ingesting, parsing, and clustering high-throughput blockchain transactions in real time demands elastic, low-latency infrastructure. Our deployment on AWS APAC core nodes ensures that multi-source data streams are cleaned and processed with sub-second response times.”
HL, Chief Trading Officer and Lead Architect, emphasized the educational aspect: “Data without structured execution logic leads to information overload. By feeding these on-chain clustering insights into the OCEAN AI TRADING ACADEMY curriculum, we teach students how to replace emotional chart speculation with disciplined, data-backed risk management.”
Educational Integration via OCEAN AI EDTECH
The analytical frameworks outlined in the whitepaper serve as foundational material for OCEAN AI EDTECH programs. Through systematic training courses—including 3-day practical workshops and intensive 4-week structured masterclasses—OCEAN AI TECH equips students across the Asia-Pacific region with practical skills in on-chain data visualization, AWS security configuration, and algorithmic position sizing.
The full research paper, “Large-Scale On-Chain Address Clustering Analysis: Observations on Token Distribution and Liquidity Dynamics,” is now available for public research and media review at www.oceanailab.io.
About OCEAN AI TECH SDN BHD
OCEAN AI TECH SDN BHD is a FinTech and EdTech software company headquartered in Malaysia. Built on Amazon Web Services (AWS) cloud infrastructure, its flagship Ocean AI Terminal fuses macroeconomic data, on-chain address clustering, and “The Studio” natural-language strategy generator into a 100% non-custodial decision workspace. Together with OCEAN AI EDTECH, the company provides enterprise software analytics and structured trader education across the APAC region.
Media ContactCompany Name: OCEAN AI TECH SDN BHDContact Person: DARRENEmail: Send EmailCountry: MalaysiaWebsite: http://www.oceanailab.io/