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What is Agentic Trading? How AI Trading Works in 2026

AI that trades on your behalf, explained: what agentic trading is, how it works and how it differs from robo-advisors.

Agentic trading is when an AI agent acts on your brokerage account for you: monitoring the market, building strategies and placing or automating trades based on rules and instructions you set. The word “agentic” is the key part. Unlike a chatbot that only answers questions, an agent can take actions on your behalf, from rebalancing a portfolio to executing a trade the moment your conditions are met.

The term is new enough that it’s easy to confuse with things it isn’t. We cover what agentic trading actually means, how it differs from robo-advisors and older trading bots, how it works in practice and what to weigh before you let software trade for you.

How agentic trading differs from robo-advisors and trading bots

Three technologies get lumped together here, and the differences matter.

Robo-advisors like Betterment or Wealthfront follow preset algorithms. You answer a few questions about your goals and risk tolerance, and the service builds a diversified portfolio and rebalances it on a fixed schedule. You don’t tell it what to do day to day; it runs a standardized strategy designed for hands-off, long-term investing. Predictability is the point.

Traditional trading bots execute a fixed, pre-programmed strategy, often one you had to code or configure yourself. A bot might buy whenever a stock crosses its 50-day moving average, but it only does exactly what it was built to do, and setting one up historically required technical skill or third-party software.

Agentic trading sits apart from both. You describe what you want in plain language, and an AI interprets that intent, builds a strategy and can act on shifting market conditions in real time. It’s more flexible than a robo-advisor and easier to set up than a coded bot. The tradeoff is lower predictability: because the AI interprets instructions rather than following a rigid script, it can behave in ways you didn’t fully anticipate. That flexibility is the appeal and the risk in equal measure.

Why agentic trading matters now

Agentic trading went from concept to live product across several major US brokers in 2026. Robinhood launched its version on May 27, 2026.(1) Webull formally announced its Model Context Protocol server on June 11, 2026.(2) Public began rolling out Agents on March 31, 2026.(3) And SoFi launched Composer on June 23, 2026.(4) That clustering is why the term suddenly matters: it stopped being a Silicon Valley idea and became something an ordinary investor can switch on.

The shift it represents is from clicking to instructing. For decades, placing a trade meant a manual action, whether calling a broker, clicking a web portal or tapping an app. Agentic tools replace that with describing your intent and letting the software carry it out, which is a meaningful change in how retail investing works.

How agentic trading works

The mechanics vary by platform, but two models have emerged.

Bring your own agent. Some brokers let you connect an outside AI agent, like Claude or ChatGPT, to your account through a Model Context Protocol (MCP) server, an emerging open standard that lets AI tools plug into a platform without unofficial workarounds.(5) Robinhood and Webull use this approach. You link your agent, and it can then read your portfolio, research the market and place trades. The upside is that you use the AI you already know; the tradeoff, which Robinhood states plainly, is that once your data reaches the outside AI provider it leaves the broker’s security environment.(5)

Build an agent in the app. Other platforms keep the AI in-house. On Public, you describe a strategy in plain language and Public’s own AI turns it into a workflow you approve before it goes live, so no outside model ever touches your account.(6) SoFi’s Composer takes the most conservative version of this: its AI helps you build rules-based strategies that you can backtest against historical data, then executes them according to fixed rules you select.(4) SoFi is explicit that this automates the execution, not the judgment.(4)

Whichever model a platform uses, most share the same safety scaffolding: a dedicated or ring-fenced account, order previews, spending and symbol limits, and the ability to pause or disconnect the agent at any time.

Examples of what an agent can do

Concrete instructions make the idea clearer. Real examples the platforms themselves use include:

  • Analyze a portfolio for concentration risk and sector exposure, then rebalance it (Robinhood).(1)
  • Buy $2,000 of Bitcoin whenever it drops below its 50-day moving average (Public).(6)
  • Sell $5,000 of covered calls monthly across a portfolio (Public).(6)
  • Sweep any cash over $20,000 into a bond account (Public).(6)
  • Build a strategy that shifts from technology stocks into exchange-traded funds (ETFs) during periods of market weakness, then backtest it before activating (SoFi Composer).(4)

The common thread is a rule with a trigger and an action: when X happens, do Y. The agent handles the monitoring and execution so you don’t have to watch the market yourself.

Common misconceptions

“The AI decides what to invest in for me.” Mostly no. On these platforms the agent acts on your instructions and strategy, not its own judgment. Public states that its Agents have no independent decision-making.(6) SoFi’s Composer runs on rules you define and approve.(4) You set the intent; the AI executes it.

“It’s the same as a robo-advisor.” No. A robo-advisor runs a standardized, hands-off portfolio on a fixed schedule. Agentic trading is instruction-driven and can respond to real-time conditions, which makes it more flexible but less predictable.

“An agent won’t make mistakes because it’s automated.” Automation doesn’t mean accuracy. Every provider warns that AI agents can make errors, misinterpret instructions, act on outdated information and behave unexpectedly.(5) You remain responsible for monitoring your account.

How to get started with agentic trading

If you want to try it, a sensible on-ramp looks like this:

  1. Decide which model suits you. If you already use an AI agent and want it to trade, look at Robinhood or Webull. If you’d rather not connect an outside model, look at Public or SoFi’s Composer.
  2. Check availability. Several of these products are still in beta or rolling out, so access isn’t guaranteed the day you sign up.
  3. Start small and use the guardrails. Fund a dedicated account with an amount you can afford to lose, set order and spending limits, and use order previews or a read-only mode where offered.
  4. Supervise it. Treat the agent as a tool you oversee, not a manager you’ve hired. Check the activity feed and confirm it’s doing what you intended.

Compare the best agentic trading apps

See how Robinhood, Webull, Public and SoFi stack up on assets, access and safety.

Frequently asked questions

Sources

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Written by

Investments editor and market analyst

Matt Miczulski is an investments editor and market analyst at Finder. With over 450 bylines, Matt dissects and reviews brokers and investing platforms to expose perks and pain points, explores investment products and concepts and covers market news, making investing more accessible and helping readers to make informed financial decisions. Before joining Finder in 2021, Matt covered everything from finance news and banking to debt and travel for FinanceBuzz. His expertise and analysis on investing and other financial topics has been featured on Yahoo Finance, CBS, MSN, Best Company and Consolidated Credit, among others. Matt holds a BA in history from William Paterson University. See full bio

Matt's expertise
Matt has written 246 Finder guides across topics including:
  • Trading and investing
  • Broker and trading platform reviews
  • Money management

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