us-market-bubble-detector

A market bubble assessment uses a data-driven framework with quantitative indicators and qualitative adjustment criteria to classify market phases from Normal to Critical, preventing confirmation bias through mandatory data collection and mechanical scoring.

Financial indicators used for bubble detection include Put/Call ratios, VIX, margin debt, and IPO activity, which are mechanically scored to classify market phases from Normal to Critical and assign corresponding risk budgets.

The Minsky model framework identifies market euphoria and critical phases by applying strict qualitative adjustment criteria to quantitative indicator scores, assigning actionable investment strategies and risk budgets for each identified phase.

Yes, a quantitative analysis framework requiring mandatory data collection and mechanical scoring prevents confirmation bias, helping you avoid over-investment during periods of irrational exuberance by providing actionable investment strategies.

When market bubble risk is elevated, apply the risk budget and actionable investment strategy corresponding to the identified market phase, ranging from Caution to Critical, based on mechanical scoring of financial indicators.

Yes, bubble risk assessment requires strict qualitative adjustment criteria alongside quantitative indicators to ensure accurate market phase identification and prevent confirmation bias in practical investment decisions.