Caladan Extends Aggregated Digital Asset Liquidity to zerohash’s Ecosystem

2026-07-13 · Source: The AI Journal · Field: Finance & Economics — Banking & Financial Services, Capital Markets & Investment Management, FinTech & Digital Financial Services · Depth: Fundamental Awareness, quick

Summary

Caladan, Asia's largest digital asset market maker, has integrated its aggregated liquidity into zerohash's institutional network, going live with continuous two-sided pricing on the zerohash central limit order book (CLOB) as of July 13, 2026. This collaboration strengthens execution quality, pricing depth, and market resiliency for banks, brokerages, and fintechs powered by zerohash's regulated infrastructure. Caladan, which facilitates over \$170 billion in annual trading volume across 65+ exchanges, now extends its liquidity to zerohash's customers, offering deeper institutional liquidity and tighter execution. For Caladan, this integration expands its reach through one of the industry's leading regulated digital asset infrastructure platforms, providing efficient access to a broad network of institutional market participants. zerohash is a leading infrastructure provider for crypto, stablecoin, and tokenized assets, operating regulated entities in 51 U.S. jurisdictions.

Key takeaway

For financial institutions considering digital asset integration, this partnership signals a maturing market with enhanced liquidity options. You should evaluate platforms like zerohash that actively integrate major market makers such as Caladan to ensure robust execution and pricing depth for your digital asset products. Prioritize infrastructure with a strong regulatory footprint to mitigate operational risks and attract institutional clients.

Key insights

Integrating market makers like Caladan into regulated platforms like zerohash enhances digital asset liquidity and execution quality.

Principles

• Aggregated liquidity improves market resiliency.
• Regulated infrastructure attracts institutional participants.
• Two-sided pricing deepens execution quality.

Method

The integration involves a market maker providing continuous two-sided pricing on a central limit order book (CLOB) within a regulated digital asset infrastructure platform.

In practice

• Connect market makers to CLOBs for deeper liquidity.
• Utilize regulated platforms for institutional reach.
• Offer continuous two-sided pricing for better execution.

Topics

• Digital Asset Liquidity
• Market Making
• zerohash
• Caladan
• Central Limit Order Book
• Financial Institutions

Best for: Product Manager, Entrepreneur, Executive, Investor, Consultant

Related on AIssential

• The data infrastructure behind crypto exchange liquidity and what exchange operators actually evaluate — Data infrastructure, not just visible metrics, determines sustainable crypto exchange liquidity and market making performance.
• From Cross-Border Remittance to Financial Asset Management: BiyaPay Explores a New Path for Global Asset Allocation — BiyaPay's evolution demonstrates that solving initial pain points in a niche can lead to a comprehensive, multi-asset financial platform.
• Stripe, Visa, Mastercard Join Consortium Launching New Stablecoin — A consortium of major financial and tech firms is launching Open USD to challenge existing stablecoin dominance.
• Mercuryo Data Shows Stablecoins Moving Beyond Crypto to Power Digital Payments — Stablecoins are evolving into a core digital payments and settlement layer, driven by efficiency and broad integration.
• The ‘Price is Right’ for GPUs: The Startup Turning Nvidia Chips Into ‘Boring’ Bankable Assets — Standardizing GPU pricing and utilization can transform volatile chips into stable, bankable assets.
• Mixin Launches U-Margined Perpetual Contracts, Bringing Derivatives Trading Into Chat — Mixin integrates social interaction and self-custody into derivatives trading, simplifying access and enhancing privacy.

See Counsel's argued verdicts on the open AI decisions leaders are weighing →

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.