You control the strategy
Not copy trading, and not a single black-box bot. You define the behavior once; the agent is the execution layer.
Autonomous trading agent
Your strategy.Your rules.Your agent.
Create a customizable trading agent that automatically trades tokenized stocks using your strategy, rules, and risk limits.
- 7things you configure
- 24/7the agent watches
- 6preset strategies
It executes inside your limits
Position size, daily loss, stop-loss, take-profit, frequency and cash reserve are caps the agent cannot trade past.
Every action is traceable
Transparent history showing what the agent did and which rule triggered each action.
How it works
Seven steps from an idea to an agent that trades it
You define the behavior once, fund the agent, and the agent handles the execution.
- 01
Create an agent
Start with a preset strategy or build one from scratch.
- 02
Choose what it can trade
Individual tokenized stocks, selected sectors, or a custom watchlist.
- 03
Set the strategy
Dip buying, momentum, breakout, mean reversion, DCA, rebalancing, or custom rule combinations.
- 04
Set risk controls
Maximum position size, maximum daily loss, stop-loss rules, take-profit rules, trade frequency, and cash reserve.
- 05
Fund the agent
Capital is used only within the limits you configured.
- 06
It watches and executes
The agent watches the market and executes when its conditions are met.
- 07
Stay in control
Pause, edit, withdraw from, or shut down the agent whenever you want.
Example agents
Six starting points, all of them editable
Some users want to buy dips in large-cap names. Some want momentum. Others want conservative, low-frequency entries with strict downside limits.
Dip Buyer
Buys selected tokenized stocks after predefined drawdowns and takes profit on recoveries.
- Entry
- −6% from 20d high
- Exit
- Take profit +8%
- Max position
- 8%
Momentum Agent
Enters assets showing strong price momentum and exits when momentum fades.
- Entry
- Trend up, 10d > 30d
- Exit
- Momentum fades
- Frequency
- Active
Blue-Chip DCA
Accumulates a chosen set of tokenized stocks on a schedule or after pullbacks.
- Entry
- Weekly, or −3%
- Frequency
- Conservative
Portfolio Rebalancer
Keeps a user-defined tokenized stock portfolio near target allocations.
- Rule
- Drift band ±5%
- Cash floor
- 10%
High-Conviction Agent
Trades a small watchlist with tighter entry conditions and larger allowed position sizes.
- Watchlist
- 4 assets
- Max position
- 20%
Defensive Agent
Prioritizes capital preservation with smaller positions, strict stops, and higher cash reserves.
- Stop-loss
- −3%
- Cash reserve
- 40%
Configurations shown are illustrative examples of what the rules can express, not recommendations and not a performance record.
Customization
Not one trading bot — a framework for building many
Everyone has a different way they want to trade. Seven dimensions turn your preferences into an on-chain trading agent.
- 01
Assets
Choose exactly which tokenized stocks the agent is allowed to trade.
- 02
Entry logic
Define what has to happen before the agent buys.
- 03
Exit logic
Define profit targets, stop losses, trailing exits, or time-based exits.
- 04
Risk
Cap exposure per trade, per asset, or across the entire portfolio.
- 05
Frequency
Make the agent conservative, balanced, or highly active.
- 06
Portfolio rules
Define allocation targets, rebalancing rules, and minimum cash levels.
- 07
Behavior
React to volatility, price moves, trend changes, or other supported market signals.
The dashboard
Four questions, answered at a glance
What is my agent watching, what does it own, what has it done, and how is it performing?
What is it watching?
The assets you permitted, and how far each one currently sits from the level its entry rule needs.
| Market | From 20d high | To entry |
|---|---|---|
| AAPLx | −6.2% | triggered |
| NVDAx | −3.8% | 2.2 pts |
| MSFTx | +1.1% | 7.1 pts |
| KOx | −2.4% | 3.6 pts |
What does it own?
Open positions, and the cash reserve the agent is required to leave untouched.
| Holding | Allocation | Cap |
|---|---|---|
| AAPLx | 4.0% | 8.0% |
| KOx | 3.2% | 8.0% |
| MSFTx | 2.6% | 8.0% |
| Cash reserve | 20.0% | min 20% |
What has it done?
Every action, with the rule that triggered it. Nothing happens without a reason you wrote.
| Action | Market | Rule that fired |
|---|---|---|
| Bought | AAPLx | Entry — 6% below 20-day high |
| Sold | NVDAx | Exit — take profit at +8% |
| Skipped | TSLAx | Blocked — outside permitted assets |
| Paused | — | Blocked — daily loss cap reached |
How is it performing?
Position-level and portfolio-level PnL, alongside the strategy state the agent is currently in.
| Open position PnL | +2.4% |
|---|---|
| Portfolio PnL | +1.1% |
| Open positions | 3 |
| Trades today | 2 of 3 |
| Strategy state | Executing |
Interface and figures are illustrative. They are not live market data, not a performance record, and not a forecast.
Risk controls
Capital is used only within the limits you configured
Risk settings are not suggestions to the agent. They are the boundary it executes inside.
Maximum position size
The largest share of the agent’s capital any single position may take.
Maximum daily loss
A loss ceiling for the day. Reach it and the agent stops opening new positions.
Stop-loss rules
Fixed, trailing or time-based exits when a trade goes against you.
Take-profit rules
Profit targets that close a position without you watching it.
Trade frequency
Conservative, balanced or highly active — how often it may act at all.
Cash reserve
A minimum cash level the agent is never allowed to deploy.
Exposure caps
Limits per trade, per asset, and across the entire portfolio.
Asset permissions
A hard allowlist. The agent cannot touch anything outside it.
These limits reduce exposure. They cannot eliminate loss. Markets can gap through a stop, liquidity can disappear, and systems can fail — your capital is at risk and you may lose the entire amount you fund an agent with.
Core features
Everything the agent framework does
Custom autonomous trading agents for tokenized stocks.
Preset strategies plus fully configurable rule sets.
Custom watchlists and asset permissions.
Automated entries, exits, position sizing, and portfolio management.
User-defined risk limits and capital controls.
Live dashboard with positions, PnL, trade history, and current strategy state.
Pause, edit, fund, withdraw, or terminate an agent at any time.
Multiple agents per user, each with a different strategy or portfolio.
Transparent history showing what the agent did and which rule triggered each action.
Contract
The address appears here at launch
No contract address has been published yet. It appears here first — verify against this page, and treat any address posted elsewhere as a copy until it does.
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FAQ
Questions worth a straight answer
Eight questions, answered plainly — including the ones where the honest answer is that nothing has been published yet.
A customizable trading agent that automatically trades tokenized stocks using your strategy, your rules and your risk limits.
Instead of watching charts, finding entries, setting exits and managing positions all day, you create an agent and tell it how you want it to trade. It watches the market, looks for setups that match your rules, executes, and manages the open positions inside the limits you set.
Create an agent — start from a preset strategy or build one from scratch. Choose what it is allowed to trade: individual tokenized stocks, selected sectors, or a custom watchlist. Set the strategy, then set the risk controls: maximum position size, maximum daily loss, stop-loss and take-profit rules, trade frequency and cash reserve.
Then fund it. Capital is used only within the limits you configured. From that point the agent watches the market and executes when its conditions are met, and you can pause, edit, withdraw from or shut it down whenever you want.
Neither. You control the strategy; the agent is the execution layer.
You are not following someone else’s trades, and you are not handing money to a strategy you cannot inspect. You define the entry logic, the exit logic, the risk caps and the frequency, and the history shows what the agent did and which rule triggered each action.
No. The announced launch moment has passed and no contract address has been published, so treat the product as not yet live rather than as launched. No new date has been set — rather than print one this site cannot stand behind, it leaves it blank.
The contract slot on this page is the only place an address will be confirmed. Until something appears there, treat any address posted anywhere else as a copy.
Fees have not been published. Rather than print a number that might change, this site leaves it blank until there is a final, confirmed schedule.
When fees are set they will be stated plainly here and in the docs, before you are asked to fund anything.
Tokenized stocks, and only the ones you permit. You choose exactly which assets an agent may touch — a single name, a set of sectors, or a custom watchlist — and it cannot trade outside that list.
The specific assets available at launch have not been published.
You set hard limits and the agent executes inside them: maximum position size, maximum exposure per trade, per asset and across the whole portfolio, maximum daily loss, stop-loss rules, and a minimum cash reserve it must leave untouched.
Those limits reduce exposure. They do not remove risk. Markets gap, liquidity disappears and systems fail — you can still lose money, up to and including everything you fund the agent with.
Yes to both. You can run multiple agents at once, each with a different strategy or portfolio — a defensive one and an active one side by side, for example.
Any agent can be paused, edited, funded, withdrawn from or terminated at any time. Pausing stops new entries; you stay in control of the open positions.
Create an agent
Choose what it trades, how it enters, how it exits, and how much risk it can take.
Read the docs
The deeper breakdown: configuration, risk controls, lifecycle, and what is not settled yet.
The desk is a working demonstration on a simulated market — no real order is placed and no money moves. Capital at risk. Past performance is not indicative of future results. Nothing on this site is investment advice.