Robinhood vs. Public vs. eToro: Comparing Agentic Trading Platforms

Kazi Mezanur Rahman
Kazi Mezanur Rahman
Published Sep 11, 2026Updated Sep 11, 20265 min read
AI trading agents comparison showing Robinhood, Public, eToro, and Interactive Brokers with different automation and trade approval models.

Three major brokers spent 2026 racing toward the same headline feature: let an AI agent trade on your behalf. Robinhood, Public, and eToro all shipped a version of it this year, and the marketing across all three sounds nearly identical. The actual products aren't. One requires you to build your own agent. One puts a confirmation screen between every permission grant and the AI. One is still in beta and limited to equities. Choosing between them without understanding those differences is choosing blind.

This guide breaks down what each platform actually does, not just what its press release claims. For the mechanics of how this technology works under the hood, including the real security risks worth understanding before connecting any account, see Connecting Claude or ChatGPT to Your Brokerage first.

Launched
Robinhood Agentic Trading
2026, beta
Public AI Agents
March 31, 2026
eToro Agent Portfolios
2026
Autonomy model
Robinhood Agentic Trading
Fully autonomous within user-defined parameters
Public AI Agents
Fully autonomous, with an explicit permissions screen before access
eToro Agent Portfolios
Bring-your-own agent, connected via scoped API key
Account structure
Robinhood Agentic Trading
Dedicated agentic trading account, separate from main holdings
Public AI Agents
Dedicated account, separate from personal holdings
eToro Agent Portfolios
Dedicated sub-portfolio
Minimum to start
Robinhood Agentic Trading
Not separately disclosed beyond standard account minimums
Public AI Agents
Not separately disclosed
eToro Agent Portfolios
$200
Asset coverage at launch
Robinhood Agentic Trading
Equities only; options, crypto, event contracts, and futures planned for later 2026
Public AI Agents
Equities only at launch
eToro Agent Portfolios
Depends on the connected agent's configuration
Who builds the agent
Robinhood Agentic Trading
Robinhood's own AI, via MCP connection to models like Claude and GPT
Public AI Agents
Public's own AI, via natural-language strategy description
eToro Agent Portfolios
You do, or a third party you choose; eToro provides the connection layer
Best fit
Robinhood Agentic Trading
Traders who want a turnkey experience inside an existing app they already use
Public AI Agents
Traders who want explicit, granular control over what the agent can touch
eToro Agent Portfolios
Technically confident users who want to build or import a custom strategy

Robinhood Agentic Trading

Robinhood's version is built directly into the app 27.5 million existing customers already use. You open a dedicated agentic trading account, separate from your regular holdings, connect it through Robinhood's MCP-based infrastructure, and define the parameters you want the agent to trade within. At launch, the feature covers equities only, with options, crypto, event contracts, and futures slated for a later rollout.

The appeal here is convenience. There's no separate platform to learn, no external agent to configure, and the account isolation means a problem with the agent doesn't touch your existing holdings. The tradeoff is that you're trusting Robinhood's specific implementation choices, and as a beta product, some of those choices are still being worked out in public.

Public AI Agents

Public was the first major brokerage to formally brand itself around this feature, calling itself an "Agentic Brokerage" when it released AI Agents on March 31, 2026. Instead of manually placing orders, you describe a strategy in plain language and the agent monitors conditions and executes within those bounds.

What sets Public apart is the permissions layer. Before an agent gets any access, the platform shows an explicit confirmation screen where you set individual, tool-level permissions rather than granting blanket access. Combined with a dedicated account separate from personal holdings, that's a meaningfully more granular consent model than a single "yes, connect my AI" toggle. Coverage is equities only at launch, matching Robinhood's initial scope.

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eToro Agent Portfolios

eToro takes a fundamentally different approach: instead of building and offering its own agent, it gives you the connection layer to bring your own. You link a custom AI agent, one you've built or sourced from a third party, to a dedicated sub-portfolio through a scoped API key, with a minimum investment of $200 to fund it.

This is the option built for a more technically confident user. Strategies can range from scheduled rebalancing to signal-reactive trading tied to specific events like earnings releases, but building or evaluating that agent is entirely on you. eToro isn't vouching for the agent's quality the way Robinhood or Public are vouching for their own; it's providing the pipe and letting you decide what runs through it.

The Safer Alternative Worth Knowing About: Interactive Brokers

Interactive Brokers took a deliberately more conservative path when it introduced its AI feature in June 2026. Rather than autonomous execution, IBKR built a semi-automated "human in the middle" system: the AI researches, analyzes live market conditions, and recommends, but every single trade requires your explicit approval before it executes. Coverage is limited to equities and ETFs.

If the idea of an AI placing trades without your direct sign-off makes you uneasy, and for most traders it reasonably should, IBKR's approval-required model is worth serious consideration over any of the three fully autonomous options above. It captures much of the research and monitoring benefit of an AI agent while keeping a human as the last checkpoint before capital actually moves.

Who Should Choose Which

Robinhood is the stronger choice if you're already a Robinhood customer, want the AI feature built into an app you use daily, and are comfortable being an early user of a beta product as Robinhood works out the rough edges.

Public is the stronger choice if granular, explicit permission control matters more to you than convenience, and you want to see exactly what you're authorizing before the agent can act.

eToro is the stronger choice if you already have, or are capable of building, your own trading agent and want a broker that will connect it to real capital without imposing its own agent's logic on top of yours.

Interactive Brokers is the stronger choice if you want the research and monitoring benefits of an AI system without giving up final say on every trade, which, for most active traders, is the more defensible starting point.

For most day traders reading this, that last option deserves more weight than the marketing around "fully autonomous" trading tends to suggest. Removing yourself entirely from the execution decision is a significant step, and it's worth taking only after you've validated how an AI agent actually behaves with real money on the line, in an approval-required setting first.

What None of Them Solve

Choosing the right platform doesn't eliminate the underlying risk this entire category carries. All three broker-built agents, and the eToro bring-your-own-agent model most of all, run on MCP-based connections that inherit the same documented security weaknesses covered in Connecting Claude or ChatGPT to Your Brokerage: permission scoping that varies wildly by implementation, limited standardized activity logging, and an attack surface that security researchers have flagged as actively exploited elsewhere in the MCP ecosystem. Account isolation and confirmation screens reduce the blast radius of a problem. They don't eliminate the underlying protocol-level risk.

Frequently Asked Questions

Which broker's AI trading agent is safest?
Quick Answer: Interactive Brokers' approval-required model is the most conservative, since a human confirms every trade before it executes.

Robinhood, Public, and eToro all allow some form of execution without per-trade approval, which removes a checkpoint that IBKR's design keeps in place. That doesn't make the other three unsafe outright, but it does mean the burden of catching a bad decision shifts more heavily onto the account isolation and permission settings you configure upfront.

Key Takeaway: If per-trade oversight matters to you more than convenience, IBKR's human-in-the-middle design is currently the strongest option among these.
Can I use more than one of these platforms at the same time?
Quick Answer: Yes, nothing structurally prevents running agentic trading accounts on multiple brokers simultaneously, though it multiplies the number of systems you need to monitor.

Each platform's agent operates independently within its own dedicated account or sub-portfolio, so there's no technical conflict in maintaining accounts on more than one. The practical cost is attention: more platforms means more permission settings, more activity logs, and more places something could go wrong without you noticing quickly.

Key Takeaway: Running multiple agentic accounts is possible, but treat each one as requiring the same level of monitoring, not divided attention across all of them.
Do any of these support options or futures trading?
Quick Answer: Not yet, for the fully autonomous options. Robinhood, Public, and eToro's agent-driven features are currently focused on equities, with Robinhood specifically planning options, crypto, event contracts, and futures for later in 2026.

Interactive Brokers' semi-automated tool is also currently limited to equities and ETFs. If your trading centers on options or futures, none of these agentic features currently cover your core activity.

Key Takeaway: Confirm asset coverage matches your actual trading focus before assuming any of these platforms fits your strategy.
What happens if the AI agent makes a bad trade?
Quick Answer: On the fully autonomous platforms, the trade executes and the loss is real; the account isolation limits how much capital is exposed, but it doesn't undo a bad decision after the fact.

This is the core tradeoff of autonomous execution versus IBKR's approval-required model. A dedicated sub-account or agentic account caps your downside to whatever capital you've allocated there, but within that account, a poor decision by the agent plays out the same as a poor decision you'd made yourself.

Key Takeaway: Size whatever you allocate to an autonomous agentic account as capital you're prepared to lose entirely, not just capital you're comfortable risking.
Is eToro's Agent Portfolios feature good for beginners?
Quick Answer: No. It's built for users who can already build or critically evaluate a trading agent, which assumes a level of technical sophistication most beginners don't yet have.

Unlike Robinhood or Public, where the broker builds and stands behind the agent's logic, eToro's model puts that responsibility entirely on you. A beginner connecting an unvetted third-party agent to real capital is taking on risk that's difficult to assess without real trading and technical experience first.

Key Takeaway: Beginners are better served by Robinhood or Public's broker-built agents, or by Interactive Brokers' approval-required model, before considering eToro's bring-your-own-agent approach.
How much does it cost to use an agentic trading feature?
Quick Answer: Costs vary by platform and aren't uniformly disclosed as a separate agentic-specific fee; eToro requires a $200 minimum investment to fund its dedicated sub-portfolio.

Robinhood and Public haven't published a distinct fee specifically for agentic trading access beyond standard account requirements as of this writing. Confirm current terms directly with each platform, since agentic trading features are new enough that pricing details are still being finalized in places.

Key Takeaway: Don't assume agentic trading access is free just because a specific fee isn't advertised; confirm directly with the platform.
Which of these uses Claude or ChatGPT specifically?
Quick Answer: Robinhood's agentic infrastructure connects to models including Claude and GPT through its MCP-based system; Public and eToro's underlying model choices aren't uniformly publicized in the same way.

The specific AI model matters less than the platform's permission and oversight controls, covered in the full MCP security breakdown, since the documented vulnerabilities concentrate in the implementation layer rather than in any particular model.

Key Takeaway: Evaluate a platform's permission scoping and account isolation before treating the underlying AI model as the deciding factor.
Will more brokers add agentic trading features?
Quick Answer: Very likely. Coinbase has also launched fully automated AI agents, Charles Schwab has a conversational AI assistant in development, and industry trackers count roughly a dozen brokerages already offering some form of AI account connection.

The category is expanding quickly enough that this comparison will need revisiting as more platforms launch and existing ones expand beyond equities into other asset classes.

Key Takeaway: Expect this list of options to grow; recheck each platform's current feature set before making a final decision, since capabilities are changing month to month.

Disclaimer

This article is for educational purposes only and does not constitute financial, legal, or investment advice. Autonomous AI trading features carry real financial risk, including the possibility of executing trades you would not have approved manually, and the underlying technology has documented security vulnerabilities. DayTradingToolkit has no affiliate or partner relationship with Robinhood, Public, eToro, Interactive Brokers, or Coinbase; nothing in this comparison is a recommendation to open an account with any specific platform. Never grant trading authority to an AI agent using capital you can't afford to lose. Full disclaimer →

Article Sources

This article draws on official platform announcements and established fintech industry reporting.

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Kazi Mezanur Rahman

Written by

Kazi Mezanur Rahman

Founder, independent researcher, and editor of DayTradingToolkit. A one-person publication focused on risk-first trading education and documented tool research. He trades his own capital as a retail trader and combines personal market experience with systematic primary-source research.

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