AI‑Powered Stock Picks Highlight Energy Leaders

Investing.com’s ProPicks AI identified a set of energy equities that have delivered outsized returns. Delek US Energy (NYSE:DK) rose +14.97% in July and +61.90% since the model first selected it, while PBF Energy (NYSE:PBF) posted a +26.75% gain in July and a cumulative +45.57% increase from the initial pick date. Both stocks were later upgraded by TD Cowen analyst Jason Gabelman on June 29, who highlighted robust refining margins, a projected $2 billion of free cash flow through the end of 2026, and the highest earnings leverage among peers.

July’s Top Energy Performers

The article lists additional energy names that posted double‑digit July gains:

  • Kosmos Energy (KOS): +23.15%
  • Venture Global (VG): +19.95%
  • Dorian LPG (LPG): +18.44%
  • SM Energy (SM): +15.51%

All figures represent performance in July alone.

Cumulative AI Model Returns

Since the AI system’s launch in November 2023, the aggregate return for ProPicks members is +208.68%, outpacing the S&P 500 by +130.63%. Other highlighted winners include:

  • Consensus Cloud Solutions (CCSI): +78.37%
  • Molina Healthcare (MOH): +77.85%
  • Texas Instruments (TXN): +44.78%

These percentages reflect total appreciation from the date each stock was first flagged by the AI.

Deep‑Dive on PBF Energy

Prior to the analyst upgrade, the AI model had already noted several catalysts for PBF:

  • Momentum: ~121% price appreciation over the past year and ~52% YTD.
  • Valuation: Trading below book value with a P/E of ~10, indicating significant undervaluation.
  • Earnings Turnaround: Q1 earnings beat of $1.65 billion versus a forecasted loss, restart of the Martinez refinery, and $230 million saved through a cost program (targeting $350 million by year‑end).
  • Shareholder Returns: Approximate 2.7% dividend yield and analysts projecting ~$5 in full‑year earnings.

These factors, combined with the analyst’s free‑cash‑flow projection, underpin the model’s conviction.

How the AI Engine Works

Each month the proprietary AI evaluates thousands of global equities using a blend of historical data, valuation signals, and forward‑looking growth metrics. It processes more than 15 years of financial data across over 150 quantitative models to generate up to 20 high‑conviction stocks per strategy. Selections are rebalanced monthly; stocks that no longer meet criteria are removed, and the remaining holdings are equal‑weighted to provide a transparent benchmark.

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