MDB: A Case Study in Risk—When the Data Screams “No”
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.
How Reliable Are Stock Ratings? See the Data on Ciena (CIEN)
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.
ERS’s Technology Indicates Unusually Profitable Buying Opportunities for NVIDIA
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™
Equity Risk Sciences introduces the FIDUCIARY RISK NAVIGATOR™: The Most Important Advancement in Fiduciary Risk Detection Since Independent Audits Became Mandatory
NVIDIA Report – An Extremely High Risk & Ill-Reasoned Bet
Investing in NVIDIA at today’s valuations assumes its profitability and dominance will persist indefinitely. History and data suggest otherwise.
The Fiduciary Risk Rating™ Prevents Substantial Losses
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.
Market Risk Navigator™ – 25-Year Study
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.
Scientific Testing and Independent Analysis: The Foundation of Sound Fiduciary Investment Decisions
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.
The Power of ERS’s Predictive Ratings: How to Identify the Best (and Worst) Days to Buy Skechers (SKX)
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.
From Bacon to Graham to Simons: The Evolution of Scientific Investing
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.