Customers can connect their own AI agents to Robinhood to help manage and automate trading and credit card purchases, with built-in safety controls and a real-time activity feed. Trade in a dedicated agentic account to stay in control of every trade your agent makes.
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Robinhood Agentic Trading is a new service that lets customers connect their own AI agents directly to a Robinhood brokerage account. Through Robinhood’s MCP server, agents can analyze markets, build and rebalance portfolios, program custom tools, and place trades automatically. The entire experience runs in a dedicated Agentic Account with its own budget, real-time activity feed, and safety controls that keep you in charge of every trade your agent makes.
Paste a single URL into your MCP config to link most AI agents out of the box. No complex API setup or custom integration work is required — Robinhood handles the connection so your agent can start trading almost immediately.
Fund a separate account with a budget you control, reserved exclusively for your agent’s trades. This keeps your main portfolio untouched and gives you a clear view of how your automated strategy is performing.
Every trade your agent makes appears in the app as it happens. You get notifications on each transaction, plus a full performance history so you can review decisions and adjust your strategy on the fly.
You can disconnect your agent anytime directly from the app. The dedicated budget, per-trade notifications, and instant kill switch give you multiple layers of control — your agent never operates without your oversight.
Your agent trades, but you stay in control — every move is visible, every budget is yours to set, and disconnecting is one tap away.
Most automated trading tools lock you into a black box or require deep coding skills. Robinhood Agentic Trading flips that by letting you bring your own agent while keeping full visibility and manual override. The MCP-based connection makes setup fast, and the dedicated account structure means your agent can’t accidentally drain your main funds.
You already run an AI agent and want to give it real market access without losing oversight. It’s also a strong fit if you’re curious about agentic trading but want a safe, budget-controlled sandbox to experiment in. And if you value transparency — seeing every trade your agent makes in real time — this approach puts you firmly in the driver’s seat.
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