eToro Launches AI Agent Portfolios as Automated Trading Demand Surges

eToro has begun rolling out a feature that allows users to connect their own AI agents to live trading accounts. The company said the new function lets developers automate trades directly through eToro with allocated capital and defined risk limits.

Dubbed Agent Portfolios, the new offering acts as a separate sub-account within a user's main profile. According to the firm, investors can name the portfolio, set a budget starting from $200, and link an AI agent using a scoped API key. The agent can then open and close trades, check balances, and manage positions within that portfolio's boundaries.

Agentic AI is a type of AI that can not only analyze information but also take actions for a user, such as placing trades, within set limits. In finance, it typically refers to autonomous software agents that follow a goal and interact with external systems like broker APIs without constant human input.

The timing reflects rising retail demand for AI-assisted investing, with eToro reporting a 46% jump in AI tool usage in 2025 and strong interest in AI-related themes. The rollout of Agent Portfolios marks another step in eToro's push to embed AI deeper into its trading ecosystem and shift activity toward rules-based, automated strategies.

The platform offers two setup paths via the desktop application or through a direct conversational prompt for integrated AI tools, with no coding required. eToro said the feature represents an early step in expanding automated trading tools for individual investors, with a gradual rollout as the company gathers developer feedback.

For eToro, Agent Portfolios extend the platform's social and copy-trading model into user-built automation, creating a sandbox for developers to deploy and test AI agents with real capital in controlled sub-accounts. While other firms like Interactive Brokers have discussed agentic AI in thought leadership, their focus remains on tools and research rather than retail-facing AI sub-portfolios. Commentary on Charles Schwab and Fidelity indicates exploration of agentic AI for workflow automation, but these efforts remain largely conceptual or internal and not packaged as ring-fenced AI trading portfolios for clients.