Agentic trading lets an AI act on your brokerage account: monitoring the market, building strategies and placing trades based on rules you set. In 2026, the feature went from concept to live product at four major brokers, but they took two very different approaches.
Robinhood and Webull let you connect an outside AI agent like Claude or ChatGPT directly to your account. Public and SoFi keep the AI inside their own app and use it to build automated, rules-based strategies rather than handing control to an external model.
That split matters more than any feature list, so we’ve organized this comparison around it. Here’s how the four best agentic trading apps compare, who each one suits and the risks worth understanding before you let software trade on your behalf.
Investors who want transparent, backtested strategies over live autonomy
We focused on brokers that launched a genuine agentic feature (AI that can build strategies and place or automate trades) rather than a chatbot that only answers questions. For each platform, we looked at how the AI connects to your account, which assets it can trade, what safety controls exist, how much of the process stays under your direct approval and who can actually access it today. Because every one of these products launched in 2026 and several are still in beta, availability and supported assets are the details most likely to change.
Robinhood: bring your own agent to a ring-fenced account
Robinhood’s agentic trading lets you connect an outside AI agent to a dedicated account through its Model Context Protocol (MCP) server.(1) You paste one MCP URL into your agent’s configuration, fund a separate agentic account with an amount you choose and the agent can then analyze markets, build or rebalance a portfolio and place trades.(1) Robinhood launched the feature on May 27, 2026 alongside an agentic credit card, and CEO Vlad Tenev has said the move extends the company’s mission of democratizing finance to AI agents.(2)
The design keeps you at arm’s length from the agent’s reach. Your agent only has access to the funds in the dedicated agentic account, you get a push notification for every trade, you can preview orders and you can disconnect the agent with one tap.(3) Robinhood’s own setup instructions list Claude, ChatGPT, Cursor, Codex and Grok among the platforms that connect out of the box, alongside any other MCP-compatible agent.(3) The tradeoff Robinhood is explicit about: once your data reaches the AI provider you chose, it leaves Robinhood’s security environment and is governed by that provider’s terms.(3)
What it supports: Agentic Trading launched with equities only, but that’s since expanded — Robinhood’s own documentation now confirms your agent can place long equities and options orders and crypto, though options trading is still rolling out and isn’t available to everyone yet.(4), event contracts and futures remain on Robinhood’s roadmap, with no specific dates announced.(2)
Watch for: Agentic trading is still rolling out, so not everyone has access yet, and you can only open an agentic account and authenticate your agent on a desktop device. Robinhood states plainly that AI agents can make errors, act on outdated information and behave unexpectedly, and that monitoring your account is your responsibility.
Best for: People who already work with an AI agent like Claude or ChatGPT and want to give it a walled-off pool of money rather than access to their whole portfolio.
Webull: the widest asset and agent support
With Webull, you connect ChatGPT, Claude, Cursor, Codex, Kiro or any MCP-compatible agent to your account, and the agent has the ability to pull live market data, read your portfolio, research analyst ratings and place trades.(5) Webull’s MCP server has been operational since April 2026 and the company formally announced it on June 11, 2026, saying the tool had already been in use by active traders for about two months before the wider announcement.(6)
On safety, Webull uses OAuth so your brokerage credentials are never shared with the AI model. It shows you a preview before every order and lets you cap order size and value or restrict trading to specific symbols. It also offers an optional read-only mode, letting an agent research and watch your portfolio without the ability to place trades, which is a useful way to test an agent before giving it the keys.(5)
What it supports: Equities, options, futures, event contracts and crypto. Webull also offers a local MCP option (keys stay on your device) and drop-in agent skills that AI coding assistants can run directly.
Watch for: Webull frames its MCP as informational and stresses that you remain responsible for verifying order details before execution. The broad multi-asset access also means an agent can reach riskier instruments like futures and options, so order limits matter more here.
Best for: Multi-asset and active traders who want the broadest agent compatibility and the widest range of tradable instruments, plus a read-only mode to test with.
Public: an agentic brokerage with no outside AI
Rather than connecting an external agent, you build your agents inside Public using plain language, and the platform’s own AI translates your intent into a workflow you review and approve before it goes live.(7) Public calls itself the world’s first agentic brokerage and began rolling the feature out on March 31, 2026.(8)
The examples on Public’s site give a sense of the range: an Agent that sells covered calls on a set schedule, one that buys a fixed dollar amount of bitcoin (BTC) whenever it dips below a moving average or one that sweeps cash over $20,000 into a bond account.(7) Agents can use technical indicators like EMA, SMA, RSI, MACD, Bollinger Bands and average true range, and they run on real-time market data. Because there’s no external AI, Public never has to share your data or credentials with a third-party model, and every action stays inside your authenticated brokerage environment. Public is also explicit that agents have no independent decision-making and only do what you instruct.(7)
What it supports: Stocks, options and crypto for trading strategies, with cash management features that can also move money into bond and yield accounts. Additional data sources and capabilities are marked as coming soon.
Watch for: Agents are available to select members with a request-access waitlist for wider access, so you may not get in immediately. Some listed capabilities are not yet live. And while building conditional, multi-step workflows is powerful, it puts the burden on you to verify that the logic does what you intended.
Best for: Investors who want plain-language automation and a marketplace of strategies without connecting or trusting an outside AI model.
SoFi Composer: rules-based strategies, not live autonomy
Composer by SoFi uses AI to help you build, backtest and automate rules-based investment strategies in plain language, then executes them according to clear rules you select.(9) SoFi launched Composer on June 23, 2026 following its acquisition of Composer Securities LLC.(10)
The key distinction is philosophical. Unlike agentic tools that rely on AI to continuously make trading decisions, Composer uses AI to help you build strategies that then run on predefined rules, so you can see exactly how a strategy works and review how it would have performed historically before you activate it. You can design a custom strategy from scratch, deploy one of more than 2,000 community-built strategies or combine several into a diversified portfolio. In other words, Composer automates the execution, not the judgment.
What it supports: Rules-based strategies across stocks and exchange-traded funds (ETFs), with backtesting against historical data built into the process.
Watch for: Access is expanding to SoFi Plus members over time rather than being available to everyone at once. And backtested performance is hypothetical: a strategy that looked strong in past data can still lose money in live markets.
Best for: Investors who want the transparency of rules-based automation and historical testing rather than handing ongoing decisions to an AI.
Bring-your-own-agent vs. build-in-app: which model suits you
The four platforms really answer two different questions. If you want your existing AI agent to trade for you, Robinhood and Webull are the only two of these that let an outside model connect to your account. Between them, Webull still supports more assets and more agent types and is available to all US clients, while Robinhood is still in beta and, with options now rolling out alongside equities, is narrowing that gap but pairs neatly with its agentic credit card if you’re already in that ecosystem.
If the idea of an external AI touching your account makes you uneasy, Public and SoFi keep everything in-house. Public gives you the most autonomy of the two, with agents that monitor markets and act the moment your conditions are met. SoFi’s Composer is the most conservative option on this list: the AI helps you build a strategy, but execution follows fixed rules you’ve reviewed and backtested, which is the closest thing here to automation without surrendering control.
Across all four, the same caveat applies. These are new products, most launched within the last few months, and every provider warns that automated systems can misfire. Start with a small amount, use the order limits and preview features and treat the AI as a tool you supervise rather than a manager you’ve hired.
Frequently asked questions
Agentic trading is when an AI agent monitors the market and places or automates trades on your brokerage account based on instructions and rules you set. It goes beyond a chatbot that answers questions: the AI can actually build strategies and execute orders. Some platforms let you connect an outside AI like Claude or ChatGPT, while others build the AI into their own app.
Every provider on this list warns that AI agents can make errors, act on outdated data or behave unexpectedly, and that you remain responsible for monitoring your account. Common safety controls include dedicated accounts with a set budget, order previews, spending and symbol limits, read-only modes and the ability to disconnect the agent at any time. Using these controls and starting with a small amount reduces but does not eliminate the risk of loss.
Robinhood and Webull both let you connect an outside AI agent through a Model Context Protocol (MCP) server, including Claude and ChatGPT. Public and SoFi's Composer do not connect to outside models; they use their own in-app AI to help you build automated strategies.
Composer by SoFi uses AI to help you build rules-based strategies that execute according to fixed rules you select and can backtest against historical data, rather than letting an AI make continuous trading decisions on its own. SoFi describes this as automating the execution rather than the judgment, which gives you more visibility into how a strategy works before you activate it.
No. All four platforms are designed for plain-language instructions rather than programming. On Robinhood and Webull you connect an AI agent that interprets your requests, and on Public and SoFi you describe what you want in everyday language and the app builds the workflow or strategy for you.
It depends on the platform. Webull supports the widest range, including equities, options, futures, event contracts and crypto. Public supports stocks, options and crypto. Robinhood supports equities and, as it rolls out, options, with crypto, futures and event contracts still to come. SoFi's Composer focuses on stocks and ETFs.
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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.
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