This Week’s EPS Watchlist: 353 Signals | AI-Led Beats | GOOGL > TSLA | OXLC & KARO Stand Out

The table below summarizes the full group:

The Magnificent 7 Are Coming

• Alphabet (GOOGL) – July 23
  Strong ad revenue likely, though AI-native search formats could cannibalize click-based monetization.

• Tesla (TSLA) – July 24
  Margin pressure from price cuts and delivery softness keep our model cautious.

• Microsoft (MSFT) – July 30
  Azure momentum and Copilot adoption continue to drive model confidence.

• Meta, Amazon, Apple – July 31
  All are trending toward high-probability beats. Investor focus will be on AI monetization signals and operating leverage.

• Nvidia (NVDA) – August 27
  No earnings this week, but our model’s 98% beat prediction reflects persistent AI chip dominance.

Sector Breakdown

Financials continue to dominate in both volume and beat probability, with a strong skew toward likely outperformance. The sector shows a healthy spread of predicted beats across regional banks and specialty finance. Information Technology also stands out, driven by high-probability calls in software, semis, and communications infrastructure, led by names like FI (98%), CALX (96%), and FLEX (96%).

Meanwhile, Consumer Discretionary is split: high-variance signals point to both upside (TPH, TMHC) and significant downside risk (BBWI, AN, ORLY). Health Care, Energy, and Real Estate each post selective pockets of strength, though with more balanced probabilities overall.

Market Cap Breakdown

Predicted beats are relatively strong across the board:

• Large Caps show the highest beat concentration, with 95 beat calls vs 33 misses. High-confidence names like FI (98%) and KARO (93%) bolster the cohort.

• Mid Caps maintain solid upside bias with 72 predicted beats and 40 misses.

• Small Caps, as usual, show more dispersion, but still lean bullish: 77 predicted beats vs 36 misses.

Overall, model confidence is strongest in large, well-covered companies—especially in tech and financials—while small-cap dispersion remains high but still leans net positive.

🔝Top 5 Predicted Beats This Week:

1. FI – 98% – Information Technology

2. FLEX – 96% – Information Technology

3. CALX – 96% – Information Technology

4. KARO – 93% – Information Technology

5. OXLC – 91% – Financials

🔻Top 5 Predicted Misses This Week:

1. RADA – 26% – Information Technology

2. GNLX – 27% – Health Care

3. SONN – 27% – Health Care

4. TNL – 27% – Consumer Discretionary

5. ORLY – 30% – Consumer Discretionary

Weekly Heatmap

The visual heatmap this week highlights Information Technology and Financials as high-confidence clusters. Several names in Industrials and Energy also appear in the upper green bands, while the deepest red appears across Consumer Discretionary and select Health Care and IT laggards.

Cmind Interactive Heatmap For Week of July 19th, 2025

Individual Stock Predictions

Large Caps
The model flags FI (98%) and KARO (93%) as standout large-cap opportunities in Information Technology. Both have steadily risen in beat probability and outperform sector peers on profitability and analyst sentiment. Meanwhile, TSLA (47%) and ORLY (30%) represent caution flags—both with weak peer readthroughs and uncertain revisions.

Mid Caps
FLEX (96%) and CALX (96%) lead mid-cap names, both with strong earnings trajectories, operating metrics, and peer strength. Conversely, Consumer Discretionary names like THRM and VLO show signs of softness, echoing broader weakness in cyclical retail and industrial exposure.

Small Caps
OXLC (91%) stands out in Financials with high profitability and peer strength, followed by niche names like TMUS (83%) and MXL (90%) in communications and semis. On the miss side, RADA (26%) and SONN (27%) reflect persistent model pessimism, largely driven by earnings quality and analyst sentiment degradation.

About the Model

Cmind AI’s EPS predictions are powered by a machine learning model built for accuracy, objectivity, and transparency. We ingest over 150 variables across six data modalities—including real-time 10-Q filings, earnings transcripts, governance metrics, and peer signals—to provide early, company-specific EPS forecasts.

Updated daily, our model covers 4,400+ public companies, with proven backtests demonstrating Sharpe and Sortino ratio improvements across portfolios.

📩 To learn more, contact us at [email protected]