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Investing.com Reports AI-Selected Stocks Gained Up to 88%

ENTHMSVIIDZHZH-TWJAKOHI
Oct 1, 20262 min read
Investing.com Reports AI-Selected Stocks Gained Up to 88%

Summary

Investing.com has released performance data for its AI-driven stock selection tool, highlighting six stocks across technology and energy sectors that saw gains ranging from 40% to 88% since their selection dates.

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Investing.com has released performance data for its proprietary AI-powered stock selection strategies, reporting that six selected equities posted gains ranging from 40% to 88%. The highlighted stocks span the technology and energy sectors and represent the top performers identified by the platform's models over recent months.

Performance Highlights

According to the data published by the financial markets platform, the performance of its highest-gaining stock picks varied by selection date and sector. The company attributed the gains to its AI models identifying the stocks prior to significant market moves.

Key performers cited by Investing.com include:

  • EFOR (Everforth): +87.6% since July 1, 2026
  • CVI (CVR Energy): +63.7% since August 1, 2026
  • DINO (HF Sinclair): +50.6% since June 1, 2026
  • CCSI (Consensus Cloud Solutions): +47.4% since February 1, 2026
  • TXN (Texas Instruments): +44.9% since March 1, 2026
  • CRM (Salesforce Inc): +40.6% since July 1, 2026

Strategy Outpaces Benchmark

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Beyond individual stock performance, Investing.com reported on the aggregate results of one of its thematic strategies. The "Top Value Stocks" strategy reportedly generated a return of +87.3% since its launch in November 2023.

This performance outpaced its stated benchmark, the S&P 500 Pure Value index, by 23.4 percentage points over the same period, according to the company's figures. Such data is often used by investors to gauge the effectiveness of a quantitative strategy against a passive market index.

AI Model Methodology

Investing.com states its system evaluates thousands of global stocks at the beginning of each month. The selection process utilizes a combination of historical data spanning more than 15 years, valuation signals, and forward-looking growth metrics analyzed across more than 150 quantitative models.

The platform's strategies undergo a strict rebalancing process each month. During this rebalance, new stocks that meet the AI's criteria are added, while those that no longer qualify are removed to maintain the portfolio's alignment with the model's objectives.

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