What is agentic investing?
Agentic investing means AI agents that act on a portfolio instead of talking about it: they read your positions, run research, make decisions within guardrails you set, and execute approved trades. The word that matters is act. A chatbot that explains the market is analysis. An agent that rebalances your accounts when a hedge fund files its 13F is agentic investing.
The term went mainstream in 2026 because the infrastructure arrived: the Model Context Protocol (MCP) gave AI agents a standard way to call brokerage APIs, and the large brokers shipped agent surfaces within weeks of each other.
The 2026 agentic finance timeline
Three launches in 72 days made the category real:
- March 31, 2026: Public.com declares itself the first 'Agentic Brokerage', letting users build agents that operate inside Public accounts.
- May 27, 2026: Robinhood launches Agentic Trading: Claude, ChatGPT, Codex, Cursor, and any MCP-capable agent can place equity trades in a user's Robinhood account, with previews and in-app approval, reaching 27 million customers.
- June 11, 2026: Coinbase launches agent trading on top of its Agentic Wallets, extending agents to crypto.
All three run on MCP. And all three stop at the same wall: each broker's agent works only inside that broker's own accounts.
See it on your own portfolio: connect a broker and ask Tengu anything about your money.
Try Tengu freeSingle-broker agents vs the independent agentic layer
The defining question in agentic investing is: whose agent is it?
| Broker-native agents (Robinhood, Public, Coinbase) | Independent agentic layer (Tengu) | |
|---|---|---|
| Scope | That broker's accounts only | 25+ brokerages, every account you own |
| Built to serve | That broker's platform | Your whole portfolio |
| Cross-account moves (rebalancing, tax-loss harvesting) | Impossible by design | The core use case |
| Custody | That broker | Unchanged: your existing brokers keep custody |
Robinhood's Agentic Trading is genuinely well built, with previews and in-app approval on every order. But it works on your Robinhood account alone. A broker-native agent can never see that your Schwab IRA is overweight the same position your Coinbase account just added, because it can only see itself. Portfolio-level decisions require a layer above the brokers: independent, multi-account, and non-custodial. That layer is what Tengu, the AI portfolio manager, is built to be.
How guardrails make agents safe enough to use
Agentic investing is only sane with mechanical guardrails between the agent and the market. The pattern that works:
- Scoped permissions. The agent can do only what you granted, and you can revoke access at any time.
- Pre-trade risk gates. Position-size limits, leverage caps, and drawdown circuit breakers, checked on every order.
- Approval modes. Approve each trade as it comes, or give standing approval to a strategy you subscribed to once.
- An audit trail. Every decision and every order, logged.
Tengu runs these gates on its own live capital, traded on the same engine its users get. That is the strongest guarantee a vendor can offer that the gates are real.
Agentic investing for developers: MCP is the standard
If you are building agents, the practical takeaway is that finance went MCP-native in 2026. Robinhood exposes MCP servers for its own accounts; Tengu exposes an MCP server for the cross-broker layer: 229 finance tools (filings, options flow, insider and congressional activity, fundamentals, execution) that any Claude, GPT, or open-model agent can call with one key. The same engine answers in cited verdicts, so agent outputs can be audited. That makes the independent layer composable: your agent, any model, every brokerage.