autonomous-trading

To automate an autonomous trading loop, provide your agent with a budget, target, and deadline. The agent then orchestrates opportunity scanning, position opening, and profit protection via DSL across Hyperliquid.

Autonomous trading strategies enforce risk rules through three profiles: conservative, moderate, and aggressive. Safety rails include conviction collapse cuts, cross-margin buffer math, speed filters, and race condition prevention.

DSL state management protects profits by automating dynamic stop-loss levels within the trading loop. It works alongside the Opportunity Scanner and Emerging Movers to secure open positions on Hyperliquid.

Yes, autonomous trading workflows support cron scheduling to execute time-based trading loops. This allows the agent to continuously scan for emerging movers and manage DSL state without manual intervention.

Yes, setting up a strategy wallet is required before starting autonomous trading. The agent creates this wallet based on your provided budget, target, and deadline to manage positions and enforce risk controls.

Limitations include dependency on accurate opportunity scanning for emerging movers and the need for adequate cross-margin buffers. Conviction collapse cuts may also exit positions early if market momentum fails the speed filter.