OCEAN AI TECH Releases Technical Report on Large-Scale On-Chain Address Clustering and Liquidity Dynamics

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New research paper details weighted clustering algorithms, entity resolution, and exchange stablecoin inventory monitoring within a non-custodial software framework.

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

  1. Entity Resolution & Address Clustering: Raw blockchain addresses are unlabelled, fragmented cryptographic hashes. The research details how multi-input heuristic analysis and weighted clustering algorithms group related wallet addresses, separating market maker inventory, exchange reserves, and institutional wallets from retail noise.
  2. Token Supply Distribution Tracking: The whitepaper analyzes how token accumulation and distribution phases can be quantified. By tracking supply concentration among top-tier historical wallet clusters, analysts can observe shifts in market depth prior to major market expansions or contractions.
  3. Stablecoin Inventory & Liquidity Evolution: By monitoring real-time net inflows and outflows of major stablecoins (USDT/USDC) across exchange reserves, the report establishes a mathematical framework for evaluating broader market liquidity and systemic risk.
  4. Integration with Non-Custodial Execution Systems: The paper outlines how cleaned on-chain features feed directly into “The Studio”—OCEAN AI’s natural-language strategy creation pipeline. Strategies compiled from this data execute under a 100% Non-Custodial API framework enforced by mandatory AWS server IP whitelisting and automated 2% risk calculators.

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 Contact
Company Name: OCEAN AI TECH SDN BHD
Contact Person: DARREN
Email: Send Email
Country: Malaysia
Website: http://www.oceanailab.io/