Describe your trading idea. AI generates the strategy, runs the backtest, and helps execute it.
For example: "Buy BTC when it drops 3%, sell when it rises 5%."
It identifies the symbol, timeframe, take-profit, stop-loss, and other rules.
Validate performance first so you do not go live blindly.
Once started, the strategy executes automatically so you do not have to watch the market.
AI extracts entry, exit, position sizing, and risk conditions from natural language, then turns them into confirmable strategy logic.
Return, max drawdown, win rate, and trade count are presented together so users can decide whether to optimize or deploy.
Strategy snapshots, backtest results, and exchange API status are checked together before automated execution begins.
Choose common strategy templates, run backtests, or continue optimizing conditions through AI chat.
Start with trading language instead of code, scripts, and complex parameter tables.
AI-generated logic is shown structurally before backtesting to reduce misunderstanding.
Historical results make performance and optimization direction easier to evaluate.
Strategy generation, validation, and exchange deployment stay in one product path.
Experience the complete flow from AI strategy generation to backtesting and automated deployment.