Nvidia (NASDAQ: NVDA) could end August on a higher note if the latest machine learning forecast proves accurate.
According to the Finbold AI Agent, NVDA is projected to trade at around $230 on August 31, 2026, representing a 4.58% increase from its current price of $223.89.
The forecast was generated using Finbold AI, which aggregates predictions from multiple artificial intelligence models, including Claude Opus 4.8, Gemini 3.5 Flash, and GPT-5.7 Luna, alongside technical indicators such as the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD).
Among the models used in the forecast, Gemini 3.5 Flash delivered the most bullish outlook, projecting Nvidia shares at $238.50, a 6.53% gain from current levels.
Claude Opus 4.8 estimated that NVDA could reach $232.50, implying a 3.85% increase, while GPT-5.7 Luna produced the most conservative target at $231.40, reflecting a potential upside of 3.35%.
Nvidia stock fundamentals
The projected gain suggests Nvidia could continue building on recent momentum as investors remain focused on demand for artificial intelligence infrastructure, data center spending, and the company’s leadership in AI chips.
Although the forecast points to a relatively modest advance compared to Nvidia’s historical volatility, the consensus among the AI models indicates further upside through the end of August, with the stock potentially approaching the mid-$230 range if current market conditions remain supportive.
The bullish Nvidia stock forecast comes ahead of the technology company’s August 26 earnings report, with analysts expecting quarterly revenue of about $90 billion, following a record $81.6 billion in the previous quarter.
Investor sentiment has also been supported by continued AI infrastructure spending from major technology companies, including Amazon, Alphabet, and Meta, which remain key customers for Nvidia’s advanced GPUs and AI systems.
At the same time, Nvidia shares have posted their strongest weekly gain in more than a year, rising 11.6%, driven by growing confidence in AI demand and SpaceX’s plans to deploy Nvidia’s upcoming Vera Rubin architecture for AI computing workloads.
While some analysts remain cautious about the long-term pace of AI infrastructure spending, Nvidia continues to benefit from strong demand, expanding data center revenue, and expectations that enterprise AI adoption will remain a multi-year growth trend.
