strategy

To create trading strategies from natural language, describe your goals in plain text to generate structured strategy definitions. The CLI translates your input into executable configurations using built-in templates.

Available strategy templates include momentum, mean-reversion, arbitrage, and breakout configurations. These templates accelerate deployment by providing pre-defined logic that you can customize using natural-language goals.

Yes, you can backtest trading strategies against historical data to evaluate performance before live trading. Dry-run validation ensures your strategy definitions work correctly before you activate them.

Yes, database integration and CLI access are required to manage strategy definitions, deploy bots, and track performance. The builder component uses these dependencies to store configurations and monitor live status.

You can monitor and manage active trading bots through the CLI to track status and adjust strategies as needed. The system provides deployment tracking and performance monitoring for activated strategies.

The best way to implement custom logic is by converting plain-language goals into structured strategy definitions using the builder. This supports custom rules alongside built-in templates like momentum and mean-reversion.