Stock Agents
Stock-token agents are live

Put your investing thesis on rails.

Build an automated Stock Token portfolio with explicit allocations and enforceable boundaries. Your agent can rebalance the mandate, but it cannot rewrite the rules.

Create your first agentSee the guardrails
  • Approved assets only
  • Owner-controlled withdrawals
  • Research stays read-only
Illustrative agent preview Rules attached

AI Infrastructure Agent

AI Leaders mandate

Target capital
$10,000
Positions
5
Funding
USDG

Target allocation

Approved assets only

NVDA$3,000.00 · 30%
MSFT$2,500.00 · 25%
GOOGL$2,000.00 · 20%
META$1,500.00 · 15%
AMZN$1,000.00 · 10%

Sample policy controller

30% position cap · 0.5% slippage cap · owner-only withdrawals · emergency pause

Supported today

12 approved Stock Tokens

Marks identify the underlying companies; no endorsement implied.

NVDA

NVIDIA

MSFT

Microsoft

GOOGL

Alphabet

META

Meta Platforms

AMZN

Amazon

AAPL

Apple

TSLA

Tesla

GME

GameStop

AMC

AMC Entertainment

RKLB

Rocket Lab

LMT

Lockheed Martin

BA

Boeing

How it works

A mandate first. Automation second.

Every agent starts with capital, a target, and the permissions it is allowed to use.

01

Fund the mandate

Open an account with a ready Robinhood Chain wallet, then allocate USDG or WETH to a specific agent.

02

Set the boundaries

Choose approved Stock Tokens, target weights, position limits, slippage caps, and owner controls.

03

Deploy the agent

The agent allocates toward your mandate and can only act through the policy attached to its vault.

Ready-made mandates

Start with a point of view, not a blank screen.

Pick a curated basket, inspect every weight, then tune the funding and controls before deployment.

Explore every strategy
AI Leaders
Concentrated exposure to the companies building the AI stack.
Thematic
NVDANVIDIA
30%
MSFTMicrosoft
25%
GOOGLAlphabet
20%
Deploy this basket
Magnificent 7
The seven mega-cap names driving the market.
Core
AAPLApple
15%
MSFTMicrosoft
15%
GOOGLAlphabet
14%
Deploy this basket
Tech Leaders
Broad exposure across technology Stock Tokens.
Sector
MSFTMicrosoft
25%
NVDANVIDIA
25%
GOOGLAlphabet
20%
Deploy this basket
Policy before autonomy

The agent gets a job description, not a blank check.

Automation stays inside the asset list, concentration limits, execution constraints, and ownership controls attached to the vault. The learning system cannot promote a market into live support.

Read the safety model

Policy controller

Example controls attached before deployment

Enforced rules

  • Approved-asset allowlist

    Asset scope

    The agent mandate is limited to Stock Tokens already admitted to the supported asset registry.

  • Position and trade caps

    Exposure

    Target allocations and maximum trade sizes constrain concentration before an order is considered.

  • Route and slippage controls

    Execution

    Execution stays within approved routing and configured slippage limits instead of chasing any available path.

  • Emergency and ownership controls

    Owner control

    Agents can be paused, while withdrawals remain reserved for the account owner.

Research in progress

Live execution and future-market research stay on separate tracks.

Stock-token agents are available today. ETH-paired meme-token markets are being studied, but trading remains disabled until every readiness gate passes explicit review.

View the detailed roadmap
Live now

Stock-agent foundation

Approved stock baskets, USDG and WETH funding, policy controls, monitoring, and owner actions.

Learning now

ETH market intelligence

Read-only research into liquidity, price behavior, volatility, data quality, and route quality.

Pending

Guarded future rollout

No meme-token execution until asset, pricing, routing, policy, security, and launch reviews pass.

Stock agents are live

Turn your allocation into an operating mandate.

Choose the assets, weights, capital, and boundaries. Review everything before the agent deploys.

Open an account