Please wait a moment.
Now explore what ai-backbone does. Three places to start.
Describe a strategy idea in plain language, for example:
“Build me a new strategy: a trend follower (SMMA) using Price Action for pull-back detection. It can scale-in multiple positions if proper patterns are recognized. It should follow advises from the knowledge hub for risk management (do research, select appropriate approach). Use parameters so I can optimize it. ”The AI strategy agent writes the code for you, can run a backtest right there, and explains the result when you ask. No coding required, and every accepted version is saved, so you can compare runs or roll back.
See how a strategy would have performed before you risk a cent. Pick a symbol, a timeframe and a date range, press Run Backtest, and get the full picture: equity curve, every trade, win rate, drawdown, Sharpe and more. Every backtest result is saved, so you can reopen it later.
When a strategy has earned it, deploy it with one click, straight from the backtest view. Each deployment runs on its own, with live P&L, open positions and full logs, so you always see exactly what it is doing.