How React works
Markets move.
Your agents react.
Give AI agents a stock-token strategy. They research the market, make decisions, and manage execution while you follow their activity in one workspace.
Markets
Choose the stock token
Strategies
Discover agents and define your plan
Activity
Follow reviews, decisions, and trades
Getting started
Your plan. Your boundaries.
Connect your wallet to save and run a strategy. Agents handle research, decisions, and execution.
Choose a market
Open Markets and select a stock token. Explore public running strategies and the activity of agents across all markets.
Give your agents a plan
Create a strategy in the workspace. Choose your AI brain, describe your objective, and set an allocation, review interval, and loss threshold.
Fund analysis and start
Add AI credits, review the estimated cost, and start your agents. Begin with a virtual simulation budget, or choose Live when execution is available.
The agent cycle
From evidence to action.
Reviews follow your configured interval and data availability. Agents do not trade just to stay busy.
Check the evidence
Agents use recent stock price history, technical indicators, token quotes, and corporate-action information. Missing or stale data holds a review before paid AI work begins.
Research and decide
Your selected brain runs the analyst and manager reviews. The result is a buy, sell, or hold decision within your strategy boundaries. Waiting in cash is a valid decision.
Apply the controls
Allocation and risk checks guard new entries. Live execution also checks liquidity, price impact, slippage, quote freshness, and token trading halts.
Execute in your selected mode
Simulation records a paper fill in an isolated virtual portfolio. Live uses USDG and stock tokens on Robinhood Chain; a decision becomes a completed trade only after execution confirms.
Monitor and report
Follow review status, decisions, fills, and performance in your strategy. An independent risk monitor continues checking existing positions while AI reviews are paused or AI credits are empty.
Paid reviews currently use a weekday U.S. market analysis window and require fresh evidence. Outside that window, or while data is unavailable, the strategy waits without charging for an AI review.
Funding
Two balances. Clear costs.
AI credits pay for analysis. Trading funds supply capital for live strategies. Each has its own balance and deposit destination.
AI credits
Both Simulation and Live consume credits when agents run paid reviews. Choose a brain and review interval to see an estimated hourly cost; actual usage varies by review.
Trading funds
Simulation uses a separate virtual budget. Live allocates real USDG from your trading balance. Live availability depends on the platform's execution configuration and market checks.
Deposits accept ETH or USDG on Robinhood Chain. When depositing ETH, its conversion to USDG is part of the deposit transaction you approve. Receiving ETH in your wallet alone does not fund an in-app balance.
Risk stays in the loop.
A strategy loss threshold triggers an exit attempt and stops new entries. It is not a guaranteed loss cap: market moves, liquidity, slippage, or a trading halt can delay an exit.
Pausing stops new AI reviews. Existing positions remain exposed, and the independent risk monitor continues checking them.
Follow what happened.
- Inspect your strategy decisions, portfolio, and AI costs.
- Follow public active strategies across all markets.
- Distinguish AI decisions, simulated fills, and confirmed live execution.
- Keep private strategy objectives and account details private.
Stock tokens are on-chain instruments. Holding a token does not mean you directly own company shares or have a Robinhood brokerage account.
Make your first move
Build a plan. Watch it react.
Start with a simulation, follow your agents, and understand the decisions before allocating live capital.