What if you could identify the exact moments when NVIDIA had the lowest possible investment risk and the highest probability of extraordinary returns? ERS’s Metric V1^2 uncovered three distinct periods—spanning 215 unique trading days out of 6,042 analyzed—where NVDA presented exceptional buying opportunities.
Equity Risk Sciences introduces the FIDUCIARY RISK NAVIGATOR™: The Most Important Advancement in Fiduciary Risk Detection Since Independent Audits Became Mandatory
Investing in NVIDIA at today’s valuations assumes its profitability and dominance will persist indefinitely. History and data suggest otherwise.
The most important rule in investing is to avoid significant losses. The Fiduciary Risk Rating™ (FRR™) does exactly that—helping investors and fiduciaries identify stocks that are either fundamentally weak or dangerously overpriced before they collapse.
ERS’s Market Risk Navigator™ identifies periods of the greatest market risk, allowing investors to move some portion of their capital into cash or safer harbors. A $1,000,000 portfolio produced $4,028,160 greater profits from 12/31/99 to 12/31/24 than the S&P 500.
History has shown that groupthink and market enthusiasm fuel every financial bubble—from the South Sea Bubble to the Dot-Com Crash and beyond. Instead of chasing narratives, fiduciaries must test assumptions with rigorous statistical analysis, historical valuation studies, and probability-based risk assessment.
Stock prices do not move randomly. Instead, they follow patterns driven by financial conditions that can be measured, rated, and acted upon. At Equity Risk Sciences, we use rigorous statistical models to identify high-probability investment opportunities and help investors avoid hidden risks.
Bacon laid the groundwork for systematic analysis. Graham introduced discipline to investing. Simons perfected empirical, AI-driven strategies. Today, advisors must follow in their footsteps by adopting data science, statistical modeling, and AI-driven decision-making.
Investors believe they make rational decisions, yet markets are driven by emotion and speculation. Francis Bacon identified The Four Idols—cognitive traps that distort reasoning. These biases mislead investors and impact decision-making.
This model provides professional advisors with a structured framework to assess the feasibility of achieving targeted investment returns based on revenue growth assumptions, valuation multiples, and profitability expectations. Below is an interpretation of the data and how an advisor can use this technology to improve decision-making.