parameters

Stock theory triggers are measurable fundamental, technical, competitive, and macro metrics assigned specific current values, thresholds, and severities that indicate when to flip a thesis from true to false.

You run a command like /parameters NVDA to generate actionable trigger proposals, review the exact thresholds across four analytical lenses, and decide which parameters to activate for monitoring.

FMEA scoring applies to stock risk management by quantifying the severity and probability of trigger failures, helping you prioritize which fundamental or technical risks require tighter monitoring and defensive action.

Defense-independence checks improve portfolio risk management by auditing whether your defined triggers rely on overlapping assumptions, ensuring parameter resilience and preventing correlated failures across your stock theory.

Yes, you can monitor macro and competitive triggers alongside fundamental and technical metrics by structuring them within the same parameter set, assigning explicit thresholds and severities for each analytical lens.

The limitation of using predefined triggers for stock theory validation is that thresholds require continuous updates; if current values drift without parameter reactivation, the FMEA scoring and defense-independence audits may become outdated.