Is AI in trading actually new, or has it always been there?

It has always been there at the institutional level: algorithmic trading, fraud detection, and risk modelling have used machine learning for decades. What is new is the retail layer: AI assistants that are conversational, accessible without technical knowledge, and now connectable to trading accounts through open standards like MCP.

Why did MCP spread so quickly?

Because it solved a real problem for every AI developer and every tool-builder simultaneously. Before MCP, connecting an AI to an external service required custom integration work for every combination of model and tool. MCP made that connection reusable. Build once, connect to any compatible AI. That productivity multiplier drove rapid adoption across the industry.

Is MCP owned by Anthropic?

No longer. MCP was created and open-sourced by Anthropic in November 2024, but governance was donated to the Linux Foundation in December 2025. It is now a vendor-neutral open standard, maintained under the Agentic AI Foundation alongside Kubernetes and other infrastructure standards.

What makes ChelseaAI different from earlier AI trading tools?

Earlier AI trading tools were typically proprietary integrations locked to a specific platform and AI provider. ChelseaAI is built on MCP, an open standard, which means it works with any compatible AI assistant, not just one designated tool. The trader chooses their AI. The connection is portable. The permissions are set by the account holder, not the platform.

The Emergence of AI in Trading | ThinkMarkets Academy

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