apple (Nasdaq: Apple) has the potential to rise to $338 by August 1, 2026, according to forecasts from Feinbold Artificial Intelligence Agent.
Notably, the model combines predictions from several large language models and machine learning systems.
Expectations are for an increase of about 17% from Apple’s Friday closing price of $287. This forecast was created on July 25, covers the period up to August 1 and includes technical indicators including a 50-day simple moving average (Sama), the 200-day simple moving average, and other momentum signals.
Among the individual models, GPT-5.6 Terra provided the most bullish forecast, forecasting Apple’s stock price at $340, representing an increase of 18.42%.
The Gemini 3.5 Flash was the most conservative, predicting a price of $335, while Claude Opus 4.8 expected $338 and Grok 4.5 expected $339.
Apple stock price basics
Artificial intelligence predictions arrive as Investors Focus on Apple’s upcoming fiscal third-quarter earnings report, due on July 30.
Many Wall Street firms maintained upbeat expectations ahead of the release, citing strong revenue growth and resilient demand across Apple’s ecosystem.
Notably, analysts expect Apple to report earnings per share of $1.89, up from $1.65 in the same quarter a year earlier. Revenue is expected to reach approximately $109 billion, reflecting double-digit annual growth driven by continued strength in iPhone sales, services revenue and the company’s broader ecosystem.
The consensus estimates follow a strong fiscal second quarter, when Apple reported revenue of $111.18 billion and earnings per share of $2.01, beating analysts’ expectations on both metrics.
The earnings release may be especially important because Apple shares have rebounded strongly from June’s correction.
the technology The company regained momentum during July and briefly regained the title of the world’s most valuable publicly traded company by market cap before investors turned their focus to the upcoming earnings report.
Market participants are also closely monitoring management’s comments on AI investments, which have become a key driver of sentiment across the technology sector.
Recent earnings reports from major technology companies have shown that investors remain sensitive to higher capital expenditures associated with artificial intelligence, even when revenue and earnings results exceed expectations.
