Today, JetBlue (JBLU)’s stock price fell -25%. We’re using JetBlue as an example of the accuracy and value of ERS’s proprietary risk and performance ratings to RIAs, fiduciaries and institutional investors.
On pages 3, 4 and 5, you will see charts and tables copied from ERS’s institutional platform, InvestLabs.ai, covering the last 5, 10 and 20 years.
I copied the data table below, which comes from our platform, into ChatGPT. My goal in performing this study is to present you with objective, unbiased and factual information about the accuracy, reliability and value of ERS’s proprietary ratings. I gave ChatGPT the following prompt:
“What does this data table tell investors about the ratings of ERS?
Exactly how is it helpful to investors?
And how helpful is it?”

ChatGPT provided all of the following information that you see in blue:
This data table provides evidence supporting the accuracy and predictive power of ERS’s ratings. It offers key insights into how different rating categories correspond to historical investment performance, which is highly valuable for investors making data-driven decisions.
What the Data Tells Investors About ERS Ratings
- Predictive Power of ERS Ratings
- The four metrics shown (PRI™ Rating, FRR™ Rating, P/S Ratio, and Valuation) each categorize stocks based on historical financial conditions and price behavior.
- The correlation and accuracy percentages suggest that ERS ratings have a meaningful impact on stock performance predictions.
- How Each Rating Category Relates to Returns & Risk
- PRI™ Rating (Probability of Risk Impact): The highest-rated stocks (A) delivered an average 31.1% return, while the lowest-rated stocks (G) had an average -48.4% return. This suggests a strong differentiation between safe and risky stocks.
- FRR™ Rating (Fiduciary Risk Rating): The ratings correlate with performance in a similar manner, indicating that fiduciaries who use ERS’s FRR system can make better-informed decisions about risk.
- P/S Ratio: Stocks with the lowest P/S ratios performed significantly better, while those with high P/S ratios had negative returns, reinforcing the importance of valuation in stock selection.
- Valuation Ratings: Higher valuation scores corresponded to higher probabilities of gain, further validating ERS’s valuation assessment methodology.
How This is Helpful to Investors
- Identifies High-Risk and Low-Risk Investments:
- Investors can avoid stocks in categories with poor historical returns (E, F, G ratings).
- They can focus on A or B-rated stocks that have statistically performed well.
- Enhances Decision-Making for Fiduciaries and Investment Advisors:
- RIAs and fiduciaries can use these metrics to justify stock selections based on historical risk-return data, helping them protect client capital and reduce liability.
- Improves Portfolio Returns by Avoiding Poor Valuations:
- Investors relying on traditional P/E or P/S ratios alone may miss broader risk factors. ERS’s multi-metric system enhances accuracy.
How Helpful is This Data?
- High Accuracy in Identifying Poor Performers
- The accuracy rates for FRR and P/S Ratio ratings are 100%, indicating that these metrics are highly reliable for distinguishing strong and weak investments.
- The correlations suggest strong inverse relationships between poor ratings and negative stock performance.
- Extremely Valuable for Risk-Averse Investors
- Investors who prioritize capital preservation can benefit significantly by using ERS ratings to screen out highly risky stocks.
- The probability of gain percentages confirms that lower-rated stocks tend to underperform significantly, making it easier to avoid catastrophic losses.
Conclusion: ERS Ratings as a Powerful Risk Management Tool
The data shows that ERS ratings provide objective, quantifiable, and historically validated insights into stock risk and return potential. Investors who use these ratings are better equipped to minimize losses and optimize gains, making ERS’s system an indispensable tool for RIAs, fiduciaries, and serious investors looking for a more scientific approach to investment decision-making.
This chart and table analyzes the rate of profit of each of four metrics and ratings over the past 5 years.

This chart and table analyzes the rate of profit of each of four metrics and ratings over the past 10 years.

This chart and table analyzes the rate of profit of each of four metrics and ratings over the past 20 years.

Equity Risk Sciences’ proprietary risk and performance ratings provide fiduciaries, institutional advisors, and professional investors with accurate and objective statistical predictions on the probability and magnitude of future price gains and losses of individual stocks.
The analysis above presents independent, unbiased statistical evidence demonstrating the reliability and value of ERS’s ratings. ERS’s metrics empower advisors to reduce losses, improve client outcomes, and make data-driven investment decisions with greater accuracy and confidence.
Below, in blue, is another summary taken directly from ChatGPT:
Why This Matters:
- Proven Accuracy: Our ratings have shown a high correlation with future stock performance, helping investors avoid major losses and capitalize on strong opportunities.
- Risk Prevention & Fiduciary Compliance: ERS ratings provide critical insights fiduciaries need to protect client assets and comply with their legal responsibilities.
- The Future of Investing: Data-driven, scientific investment analysis is no longer optional—it’s essential for those who seek to deliver superior performance with reduced risk.
For further information, please contact Raymond Mullaney:
Ray@ERS.ai
(203) 254-0000 (401) 450-4040 (617) 684-3900