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Shekel partners with Symphonyio to launch V2 no-code trading agents

Shekel partners with Symphonyio to launch V2 no-code trading agents

The collaboration combines Symphonyio’s execution infrastructure with Shekel’s agentic framework, enabling customizable trading agents across top perpetual platforms.

Shekel announced a strategic partnership with Symphonyio to launch its V2 trading agents, marking a major upgrade to its agentic trading framework.

The two teams have been developing the new version over the past several months, integrating Symphonyio’s execution rails with Shekel’s AI-driven agent infrastructure.

The result is a next-generation platform that allows users to create and deploy no-code perpetual trading agents capable of executing on major decentralized exchanges, including Hyperliquid and Gains Network. These agents are designed to optimize entries and funding rates across multiple markets while maintaining full customization.

Disclosure: This article was edited by Estefano Gomez. For more information on how we create and review content, see our Editorial Policy.

Shekel partners with Symphonyio to launch V2 no-code trading agents

Shekel partners with Symphonyio to launch V2 no-code trading agents

The collaboration combines Symphonyio’s execution infrastructure with Shekel’s agentic framework, enabling customizable trading agents across top perpetual platforms.

Shekel announced a strategic partnership with Symphonyio to launch its V2 trading agents, marking a major upgrade to its agentic trading framework.

The two teams have been developing the new version over the past several months, integrating Symphonyio’s execution rails with Shekel’s AI-driven agent infrastructure.

The result is a next-generation platform that allows users to create and deploy no-code perpetual trading agents capable of executing on major decentralized exchanges, including Hyperliquid and Gains Network. These agents are designed to optimize entries and funding rates across multiple markets while maintaining full customization.

Disclosure: This article was edited by Estefano Gomez. For more information on how we create and review content, see our Editorial Policy.