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Machine learning algorithm sets Nvidia stock price for September 30, 2026

Machine learning algorithm sets Nvidia stock price for September 30, 2026
Paul L.
Stocks

Finbold’s AI Agent has predicted that semiconductor giant Nvidia (NASDAQ: NVDA) will remain above the $200 mark on September 30 as the company continues to benefit from strong artificial intelligence demand.

The model forecasts an average Nvidia stock price of $215.50, implying a modest 0.89% decline from its press-time value of $217.44.

NVDA stock price prediction. Source: Finbold

The forecast was generated using Finbold’s AI Agent, which aggregates predictions from multiple AI models, including DeepSeek Chat, Gemini 3.5 Flash, and GPT-5.7 Luna. 

The system also incorporates technical indicators such as the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), stochastic oscillators, and key moving averages to estimate Nvidia’s price trajectory over the next 28 days.

While the consensus forecast points to limited downside, individual models produced a wider range of outcomes. DeepSeek Chat projected NVDA at $195.50, representing a potential 10.09% decline, while Gemini 3.5 Flash and GPT-5.7 Luna both forecast $225.50, indicating a possible 3.71% gain from current levels.

NVDA stock price prediction. Source: Finbold

Nvidia stock fundamentals 

The relatively stable outlook follows another quarter of strong financial performance driven by accelerating AI infrastructure demand.

For the second quarter of fiscal 2027, Nvidia reported revenue of $96.2 billion, up 106% year over year, while Data Center revenue surged 117% to $89 billion, accounting for more than 92% of total sales.

GAAP net income reached $59.7 billion, with diluted earnings per share of $2.46. Gross margin stood at 75%, while operating income rose about 124% from a year earlier.

The technology company returned approximately $26 billion to shareholders through buybacks and dividends during the quarter and still has about $99 billion remaining under its repurchase authorization. 

Management guided for third-quarter revenue of $108 billion, plus or minus 2%, despite ongoing supply constraints and the exclusion of potential Data Center compute revenue from China.

Beyond its financial results, Nvidia continues expanding its AI ecosystem through new hardware and strategic partnerships.

The company has begun shipping its Vera CPU at scale, its first processor designed for agentic AI workloads. Management estimates the product expands Nvidia’s addressable market by $200 billion beyond traditional GPU sales. Meanwhile, the next-generation Vera Rubin platform is ramping production and is expected to contribute about 20% of Data Center revenue this quarter.

While the machine learning forecast suggests limited movement through September, Nvidia’s fundamentals remain strong. 

Trailing 12-month revenue has surpassed $300 billion, and demand continues to outpace supply. Hyperscale AI spending is projected to reach $800 billion this year and $1.3 trillion in 2027, supporting long-term growth.

Featured image via Shutterstock

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