eToro has begun rolling out a feature that allows users toconnect their own AI agents to live trading accounts. The company said the newfunction lets developers automate trades directly through eToro with allocatedcapital and defined risk limits.Dubbed Agent Portfolios, the new offering acts as a separatesub-account within a user’s main profile. According o the firm, investors canname the portfolio, set a budget starting from $200, and link an AI agent usinga scoped API key. The agent can then open and close trades, check balances, andmanage positions within that portfolio’s boundaries.Adoption of Agentic AI ToolsAgentic AI is a type of AI that can not only analyzeinformation but also take actions for a user, such as moving money or placingtrades, within set limits. In finance, it usually means autonomous softwareagents that follow a goal (for example, managing a portfolio) and interact withexternal systems like broker APIs without needing constant human prompts.eToro’s rollout of Agent Portfolios marks another step inits push to embed AI deeper into its trading ecosystem and shift more activitytoward rules-based, automated strategies. The feature comes after the platformintroduced AI tools such as the “Tori” AI companion and Alpha Portfolios, aswell as public APIs aimed at letting users build and automate strategies on topof eToro’s infrastructure. The latest platform offers two setup paths via the desktopapplication or through a direct conversational prompt for integrated AI tools.No coding is required to activate a portfolio.eToro said the feature represents an early step in expandingautomated trading tools for individual investors. The rollout remains gradualas the company gathers feedback from developers using the system.Industry Keep Agentic AI Mostly in PilotsFor eToro, Agent Portfolios extend the long-running socialand copy-trading model into user-built automation, effectively turning theplatform into a sandbox where developers can deploy and test AI agents withreal capital inside controlled sub-accounts. The timing also reflects rising demand from retail clientsfor AI-assisted investing, with eToro reporting a 46% jump in AI tool usage in2025 and strong interest in AI-related themes across its user base. Examples include Interactive Brokers, which has discussedagentic AI and autonomous strategy execution in its thought leadership andmarketing, though mainly around tools and research rather than retail-facing AIsub-portfolios. Commentary on Charles Schwab and Fidelity also describes howthey explore agentic AI concepts for workflow automation and advisory support,but these efforts remain largely conceptual or internal, not packaged as ring‑fencedAI trading portfolios for end clients.This article was written by Jared Kirui at www.financemagnates.com.