Your strategy, traded by agents that show their work.
One agent reads the chart and makes the call. A second sizes the trade in code before any order goes out. Every decision is written down, including every time it waits.
Your first run is free, no card. Every agent starts on a $10,000 paper account.
Watching breakdown-retest short
“Upper-zone wick rejected mildly, but the short still needs a 1h close below 83750.”
Your trading system is a team of agents.
Three in every system, two optional. The quotes are real outputs from our BTC agent.
Trader
Reads the chart and makes the call, or waits.
Upper-zone wick rejected mildly, but the short still needs a 1h close below 83750.29 Sep 2026
Controller
Sizes the trade in code and places it, stop included.
Opened long … at 84708.9 with …, SL 82750 and TP 89200.27 Sep 2026 · size and leverage left out
Curator
Reviews closed trades and keeps a playbook the Trader reads.
Breakout-retest long: after a confirmed 4h breakout, refuse to chase vertical extension …curated 22 Sep 2026
Market Analystoptional
Reads funding, open interest and sentiment. Publishes one market bias.
DOWN, conviction 4/10, 2 to 5 weeks. Target 80,300, invalid on a daily close above 87,400.29 Sep 2026
Channel Scoutoptional, new
Reads each new video of a YouTuber you follow and writes down the plan.
LONG, conviction 8/10, intraday. Target 85,000. Wait for an upside breakout and retest of the 50 EMA, then long if support holds.read from a video, 29 Sep 2026
Each agent runs on the model you pick: GPT-5.6, GPT-6, Claude Opus or Claude Fable.
Start from a template, or write your own.
Pick how eager it trades and a setup to start from. Both land in a strategy document you can read and edit.
Only textbook setups, with every timeframe agreeing. Sits out most of the time.
Pullback continuation
Buys the dip in a trend.
Trade this setup →Breakout retest
Buys the retest of a broken ceiling.
Trade this setup →Range fade
Trades the edges of a range.
Trade this setup →Exhaustion reversal
Fades a vertical move, after it turns.
Trade this setup →Or try your own.
Describe how you trade in plain words. The strategy wizard turns it into the document your agent trades.
You set the rules. Code enforces them.
We built the bridge to Binance and Bitunix. Your agent trades on your own account there, and your money never leaves it. One click tests your key with a tiny real trade before the agent uses it.
No stop, no trade. A trade without a stop is rejected before any order.
Stops live at the exchange. They fire even while the agent sleeps.
Trading rights only. Your key never needs the right to withdraw.
Paper first. Going live is a switch you confirm.
Keys, permissions and risk limits in detail
Keys. A key you paste is encrypted and used only while a run is executing. You decide on the exchange whether it may withdraw; make it without that right. The key test places one small real trade, checks the stop, moves it, takes a partial and closes, then confirms the account is flat. On Binance it also reads the key's permission flags and warns you if it can withdraw; Bitunix does not publish them.
Risk limits. By default code takes your per-trade risk limit, scales it by the agent's confidence, divides by the distance to the stop, and picks leverage that fits your margin ceiling. A stop on the wrong side, no balance, an order below the venue minimum or margin over the ceiling is rejected before anything is executed. An advanced mode hands sizing to the controller agent with only the wrong-side-stop check left in code; it is off unless you turn it on.
When you stop. Pausing stops future runs. An open position keeps its stop and target at the exchange. Archiving or deleting an agent is refused while a position is open.
Why I built it
I wanted an agent that trades like a disciplined person: it waits for its setup, writes down why, takes the stop without arguing, and learns from the trade afterwards. Grid bots can't do that. Language models can, with the right tools and hard limits. So I built those.
Our own agent trades BTC in public, losses included. Build yours and tell me what it should do next.
The founder, Switzerland · [email protected]