Earnings Season Kickoff

The third‑quarter earnings season opened on a firm footing, with Wall Street’s largest lenders indicating that higher interest rates continue to provide a powerful tailwind for balance sheets. Goldman Sachs reported third‑quarter earnings per share of $17.01, reflecting a 23% jump in revenue. JPMorgan Chase highlighted higher net interest income that helped offset softer investment‑banking fees, while Wells Fargo pointed to an improving return on equity despite top‑line pressure.

AI Model Performance

InvestingPro’s ProPicks AI models have been rotating through specialized financial plays, locking in double‑digit gains in as little as a month before valuations stretched. Notable winners include:

  • Lincoln National (LNC): Added in June at $34.63, the model exited in August after a roughly 27% one‑month surge that pushed the stock to about 97% of its 52‑week high. The stock later approached consensus fair‑value targets near $46; Q2 revenue missed estimates by 7% and annuity net outflows were reported.
  • Ameriprise Financial (AMP): Selected in June at a price‑to‑earnings multiple of approximately 11× ahead of its fourth consecutive earnings beat. The stock rallied into August before the model rotated out as the price‑to‑book multiple stretched to about 7.6×, amid emerging uncertainty from the wind‑down of its Comerica relationship and ongoing cash‑sweep litigation.
  • Intercontinental Exchange (ICE): Added in July ahead of record first‑quarter revenue of $3.0 billion and a 37% EPS surge. The position was closed in August; rising operating expenses and a $5.7 billion all‑cash acquisition of MarketAxess pushed leverage to roughly 3.4×, prompting a reassessment of near‑term balance‑sheet flexibility.
  • CME Group (CME): Captured a 15.9% gain after the model recorded record Q1 volume growth and earnings beat. The model exited in August as valuation rose to about 22.5× earnings, leaving limited upside to analyst fair‑value estimates of $284–$290, while regulatory uncertainty surrounded perpetual futures.

October Selections

For October, the AI engine redeployed capital into fresh high‑conviction positions under the Financial Fortresses strategy:

  • CNA Financial (CNA): The commercial property and casualty insurer trades at roughly 10× earnings and near book value, with a PEG ratio of just 0.24—well below analyst fair‑value targets of $49 to $57, suggesting upside from the current ~$45 price level. EBITDA expanded about 36% year‑over‑year, net investment income rose to $701 million, and Q2 2026 EPS beat consensus by 18% on record new business of $718 million (up 11%). The company also offers a reliable ~4.3% dividend yield.
  • CME Group (CME): After locking in a 15.9% profit in August, the model re‑added CME at $265.10 for October. The firm delivered its strongest first half on record, with Q1 revenue jumping ~14% year‑over‑year and average daily trading volume hitting all‑time highs across six asset classes. Q2 earnings comfortably topped Wall Street estimates, sparking a 6.5% post‑earnings rally. Operating margin remains elite at ~66%, and shares trade around $262—approximately 8% below analyst and model fair‑value targets near $284. New product launches, including GPU compute futures and expanded digital‑asset contracts, provide incremental growth runway.

Subscription Offering and Model Overview

InvestingPro members receive a monthly‑updated list of AI‑powered stock picks; the full October list is available through a flash‑sale offering up to 55% off the regular subscription price. The service claims a cumulative 200.86% return since its launch in November 2023, representing a 127.50% outperformance versus the S&P 500 benchmark.

The proprietary AI system evaluates thousands of global equities each month, leveraging more than 15 years of financial data across over 150 quantitative models. Up to 20 high‑conviction stocks are selected per strategy, with equal weighting applied across all holdings. Strategies undergo strict monthly rebalancing: new opportunities are added, strong performers retained, and stocks that no longer meet criteria are removed, providing a transparent benchmark for model performance.

---