---
title: "Agentic Trading Infrastructure on Canton Network"
description: "Silvana is an agent interaction layer for tokenized assets on Canton Network, providing an orderbook, developer tools, and infrastructure for automated trading workflows. The platform supports four trading pairs, more than 100 deployed agents, and over 3,000 onboarded traders, alongside an ongoing campaign with Edel Finance."
url: "https://cantonnews.org/agentic-trading-infrastructure-on-canton-network"
canonical: "https://cantonnews.org/agentic-trading-infrastructure-on-canton-network"
markdown_url: "https://cantonnews.org/agentic-trading-infrastructure-on-canton-network.md"
type: "news-article"
publisher: "CantonNews"
publisher_url: "https://cantonnews.org"
author: "CantonNews"
author_url: "https://cantonnews.org/author/cantonnews"
author_type: "organization"
date_published: "2026-07-17T14:59:49.015Z"
category: ["ECOSYSTEM"]
image: "https://pnyaxwohgkgczwuvbaqg.supabase.co/storage/v1/object/public/article-images/articles/1784300358671.png"
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language: "en"
---

# Agentic Trading Infrastructure on Canton Network

**By [CantonNews](https://cantonnews.org/author/cantonnews), Editorial Team** · Published 17 July 2026 · ECOSYSTEM

> Silvana is an agent interaction layer for tokenized assets on Canton Network, providing an orderbook, developer tools, and infrastructure for automated trading workflows. The platform supports four trading pairs, more than 100 deployed agents, and over 3,000 onboarded traders, alongside an ongoing campaign with Edel Finance.

![Agentic Trading Infrastructure on Canton Network](https://pnyaxwohgkgczwuvbaqg.supabase.co/storage/v1/object/public/article-images/articles/1784300358671.png)

[**Silvana**](https://cantonnews.org/projects/silvana) is an agent interaction layer for tokenized assets, providing infrastructure that enables automated agents to manage asset workflows, trading strategies, and decentralized applications on Canton Network.

The platform is built around the idea that tokenized assets will increasingly be managed through autonomous agents. Rather than requiring users and developers to handle complex trading logic directly, Silvana provides tools that abstract these processes and allow developers to build modular applications with agentic workflows.

Silvana’s architecture is designed to be chain and proof system agnostic, with support for confidential computing through zero-knowledge proofs and trusted execution environments. This enables developers to create applications that combine automation, privacy, and programmable asset management.

Within the Canton ecosystem, Silvana operates as both a validator and developer, with its orderbook supporting four trading pairs and multiple trading strategies, including request-for-quote (RFQ), spot trading, grid trading, and TWAP. More than 100 agents have been built, tested, and deployed through the platform, while its Early Bird Programme has onboarded more than 3,000 traders.

The Silvana ecosystem includes an Agentic API, an SDK for agent development, a Coordination Layer built on Sui, and Silvascan, a dedicated block explorer. Together, these tools provide developers with the infrastructure needed to create and interact with agent-based financial applications. Full user and developer documentation is available through docs.silvana.one.

Silvana focuses on supporting institutional use cases for tokenized assets, including provable tokenization, automated compliance, and continuous due diligence, while maintaining an open environment for developers building new agent-driven applications.

The platform is also hosting a campaign with [**Edel Finance**](https://cantonnews.org/projects/edel-finance) around the cETH/EDELx trading pair. Users who connect their wallets and complete campaign tasks through EarnHub can earn boosted rewards tied to trading activity. Daily trading contributes toward campaign progress, with rewards based on completed tasks and successfully settled trades. The campaign is available at [**app.silvana.one**](https://app.silvana.one/swap)

---

## About this document

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