Building a Reliable Stop-Loss System for an Automated Trading Bot

Short summary

Raven's stop-loss architecture separates order lifecycle into distinct phases (pending order tracking, position management, execution monitoring) and continuously handles failures through adaptive re-execution. A real trade example demonstrates the importance: when a Fill-or-Kill exit order failed due to insufficient market liquidity, the system detected the failure, resubmitted with updated prices, and eventually exited at 20% loss (versus the 10% target). This validates why continuous monitoring and retry logic beat fire-and-forget stop-loss execution.

• •Multi-stage order lifecycle architecture (pending → position tracking → execution) separates concerns and enables proper state management
• •Continuous market monitoring and adaptive re-execution handle real-world failures (liquidity gaps, order cancellations, price slippage)
• •Live trade example: initial 10% stop-loss threshold triggered exit order, but liquidity caused cancellation; system resubmitted and eventually closed at 20% loss

Generated with AI, which can make mistakes.