The Results Are In: Cmind’s EPS Signals Deliver Real Alpha. Plus, General Mills and Darden Restaurants Are Set to Report Amid Sector Volatility.

We’re excited to share independent third-party backtesting results of Cmind’s EPS Prediction Beats (“EPSPB”). They highlight just how powerful our signals can be when deployed systematically.

By filtering for high-conviction earnings beats and allocating up to 10% of portfolio value around earnings announcements, EPSPB has compounded long-term returns that significantly outpace the market:

• EPSPB Strategy 7-Year Return: +324%

• SPY (Buy & Hold): +136%

The chart below shows how EPSPB (green) steadily pulled away from SPY (blue), demonstrating its ability to capture post-earnings momentum and deliver sustained alpha.

👉 Want to learn more about how EPSPB works and how to apply it to your portfolio? Simply reply to this email, and we’ll share the details.

This Week’s Earnings at a Glance

This week’s lineup is weighted toward consumer, restaurant, logistics, and finance names—all of which carry significant implications for sector ETFs and index products.

• Monday: Dave & Buster’s (PLAY), Hain Celestial (HAIN), and Radiant Logistics (RLGT) open the week, drawing interest from consumer discretionary and logistics investors.

• Mid-week: General Mills (GIS) and Cracker Barrel (CBRL) report—both large food and consumer names that matter given current volatility in staples.

• Thursday: Darden Restaurants (DRI), FactSet (FDS), FedEx (FDX), and Lennar (LEN) headline, representing restaurants, finance, logistics, and real estate respectively.

While mega-cap tech is lighter this week, large retail, supply-chain, and consumer plays are firmly in focus.

Sector Breakdown

This week’s signals are strongest in Industrials, where multiple logistics and manufacturing names show high beat probabilities. Health Care and Consumer Staples also stand out with several strong signals.

Conversely, Consumer Discretionary and Energy are flagged with more downside risk, reflecting cautious sentiment in consumer spending and commodity-linked businesses.

Market Cap Breakdown

• Large Caps: A handful of large caps are in play this week, with beats led by FedEx (FDX) and FactSet (FDS).

• Mid Caps: Signals are mixed, with strength in Health Care (IPA, HQY) and weakness in discretionary names.

• Small Caps: As usual, small caps show the widest dispersion, with several extremely high-conviction beats (FLUX, CODA, SCHL) balanced by deep red misses (ASTC, USAU, NCPL).

🔝 Top 5 Predicted Beats This Week

• FLUX – 99% – Industrials

• SCHL – 86% – Communication Services

• CODA – 83% – Industrials

• FERG – 81% – Industrials

• MNY – 77% – Communication Services

🔻 Top 5 Predicted Misses This Week

• ASTC – 16% – Industrials

• TORO – 22% – Industrials

• USAU – 23% – Materials

• NCPL – 27% – Financials

• OPTT – 28% – Industrials

Weekly Heatmap

The heatmap highlights concentration of strong beats in Industrials and Communication Services, while misses cluster in Industrials, Financials, and Materials.

Individual Stock Predictions

Large Caps

• FedEx (FDX): Beat probability 69%—logistics names remain strong despite macro headwinds.

• FactSet (FDS): Beat probability 61%—financial data demand steady.

• Lennar (LEN): Beat probability 48%—real estate sentiment mixed.

Small Caps

• Flux Power (FLUX): Beat probability 99%—highest conviction beat this week in Industrials.

• Coda Octopus (CODA): Beat probability 83%—defense/logistics exposure stands out.

• Astrotech (ASTC): Beat probability 16%—one of the clearest miss signals.

How Our EPS Beat Predictor Works

Cmind AI’s EPS predictions are powered by a machine learning model built for accuracy, objectivity, and transparency. It integrates five data modalities and over 150 variables—including historical financials, corporate governance factors, and earnings call transcripts—to generate early, company-specific forecasts. Predictions are updated daily following 10-Q filings, covering more than 4,400 publicly traded companies, far beyond the reach of most traditional analysts. Every forecast includes clear explanatory variables, offering not just a number, but insight. The model also enables trend analysis across tickers, sectors, indices, and portfolios—and backtesting shows it can significantly enhance investment performance, improving Sharpe and Sortino ratios.

To learn more about Cmind AI please contact us at [email protected]