Feature
A trading signal without risk context is incomplete. AlgoTradingAI keeps stop-loss logic in a central engine so the same structure can follow signals across equities, options, and multiple trading styles.
Many trading tools bury stop-loss handling inside individual strategies. AlgoTradingAI keeps that logic in one place, which makes the signal contract easier to understand, test, and present across the product.
Instead of a vague note saying use a stop-loss, the signal can carry a structured object with the stop-loss type, configured value, and computed stop price. That helps the trader understand how risk is being framed without treating the output as universal advice.
Public pages, calculators, and stock snapshots become more useful when risk is described consistently. It gives both search engines and LLM-driven experiences a clearer explanation of what the product actually returns.
No. It applies configured risk logic to produce a structured stop-loss output. The settings remain controlled by the trader or system policy.
Yes. The output shape is generic enough to support different instruments while still carrying the computed price used for the current setup.
Because it helps explain what the product does. Public pages describe how the signal contract works without replacing the authenticated workflow where traders monitor signals in real time.
Yes. The public stop-loss calculator page is designed as a lightweight educational tool, while the live workflow stays in the main AlgoTradingAI application.