Last month, investors valued Reddit at $40.75 billion. Today? $19.4 billion—a 52% drop in just over 30 days. What went wrong? Was Reddit ever worth $40 billion? What’s stopping it from falling to $10 billion—or even lower?
Imagine holding Microsoft stock in 1999—one of the world's greatest companies—only to watch it lose 37% over the next decade. What went wrong? Overvaluation. In this video, we use Equity Risk Sciences’ Profit Map™ to break down why price matters more than growth and how investors can avoid these costly mistakes.
In 1999, investors were paying too much for the biggest stocks in the market. Over the next 10 years, revenues for these companies nearly doubled—but their stock prices collapsed. Why? Overvaluation. Investors paid too much.
How risky are the largest companies in the stock market today? We analyzed the top 10 companies from 12/31/1999 and 2/10/2025. Equity Risk Sciences' proprietary ratings have been identifying risk for decades, helping fiduciaries, investment advisors, and institutions protect capital and avoid major losses.
Would you pay $37 billion for a company with $800 million in revenue and no history of success? Many investors do—but fiduciaries shouldn't.
Our proprietary Price Risk Indicator™ (PRI™) and Fiduciary Risk Rating™ (FRR™) have consistently identified high-risk and low-risk periods for Ciena Corp (CIEN) over 10, 20, and 30 years—proving their effectiveness in avoiding catastrophic losses and capturing gains.
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.
Investing in NVIDIA at today’s valuations assumes its profitability and dominance will persist indefinitely. History and data suggest otherwise.
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.