AI‑Driven Portfolio Rotation for August

Investing.com reports that the AI‑powered ProPicks model rebalanced its August portfolio after a strong July performance. The model exited Lincoln National Corp (NYSE: LNC), locking in a 33.2% gain that followed a roughly 27% surge in a single month, as the stock approached its 52‑week high. The exit was justified by revenue missing expectations and annuity outflows of approximately $2.9 billion, which reduced the upside relative to risk.

Similarly, the model sold International Seaways Inc (NYSE: INSW), capturing a 28.7% rise. The stock had risen about 170% over the past year to an all‑time high, but a 2.2× price‑to‑book ratio and elevated tanker rates that may not be sustainable prompted a disciplined profit‑taking move.

New High‑Conviction Picks Added in August

The capital freed from these exits was redeployed into two high‑conviction additions:

  • HP Inc. (NYSE: HPQ) – The AI engine highlighted a rare blend of strong market momentum, accelerating top‑line growth, and deep valuation discount. Over the past six months the stock is up ~44%, trading at roughly 10× earnings, well below its fair‑value estimate of $33.50 (current price around $27). Q2 revenue grew 9% YoY to $14.4 billion, EPS rose over 20%, and management raised full‑year guidance. A strategic partnership with OpenAI and participation in Nvidia’s next‑gen AI PC lineup position HP at the center of the AI wave, complemented by a 4.4% dividend yield backed by 15 consecutive years of dividend increases.
  • Lockheed Martin Corp (NYSE: LMT) – Selected for its market momentum, growth acceleration, and financial strength. The stock has surged ~42% over the past year, with Wall Street targets indicating further upside from current levels near $574. Q2 revenue jumped 11%, EBITDA grew ~34%, driven by major contract wins including a $58.6 billion PAC‑3 missile deal and a $35 billion THAAD contract, resulting in a record $230 billion backlog and a 3.2× book‑to‑bill ratio. Free cash flow reached $2.9 billion in Q2, supporting 23 consecutive years of dividend growth.

Other Notable July Winners

The article also lists several other stocks that posted double‑digit gains in July, reinforcing the AI model’s ability to capture strong performers:

  • Everforth (NYSE: EFOR) – +62.07% in July.
  • PBF Energy (NYSE: PBF) – +50.46% in July and +72.79% since being picked.
  • Bausch Health (NYSE: BHC) – +44.44% in July.
  • Dorian LPG Ltd (NYSE: LPG) – +37.97% in July.
  • Tenet Healthcare (NYSE: THC) – +33.25% in July.
  • Kosmos Energy (NYSE: KOS) – +32.51% in July.

More than 40 stocks recorded double‑digit rallies throughout the month.

Track Record of the AI Strategy

Since its launch in November 2023, the AI‑driven stock‑picking list has generated a cumulative +188.66% return, delivering an outperformance of +109.24% versus the S&P 500 benchmark over the same period.

How the AI Stock Picker Operates

At the start of each month, the proprietary AI system evaluates thousands of global equities using a blend of historical data, valuation signals, and forward‑looking growth metrics. It processes over 15 years of financial data across more than 150 quantitative models to identify up to 20 high‑conviction stocks per strategy based on projected medium‑term upside. Strategies are rebalanced monthly: new opportunities are added, strong performers retained, and stocks no longer meeting criteria are removed. Each strategy employs equal weighting across selected stocks, providing a transparent benchmark for performance evaluation.

Market Context

August opened with major U.S. indexes back in the green after a flat July for the Dow and S&P 500 and a ‑3.2% drop in the Nasdaq. The equal‑weighted S&P 500 recently hit a record high. The AI model also flagged opportunities such as Oracle and First Solar, both up +10% on the previous day.

Subscription Information

The article notes that premium members can access the full August pick list for up to 55% off the subscription price, with pricing accurate at the time of publication and subject to regional variation.