Nvidia Stock Tests Buy Point: AI Chip Leader in September Breakout – Chart Analysis

Nvidia is moving in a narrow trading range near record highs at the end of September 2026. The semiconductor manufacturer's stock traded at around 219 USD on September 30, after machine learning forecast models had determined only minimal upside potential for month-end.

Machine Learning Models Show Moderate Expectations for Month-End

A machine learning model published on September 14, 2026 forecast an average price of 219.28 USD for September 30. Starting from the then-current level of 218.22 USD, this represents upside potential of merely 0.49 percent. The individual forecasts from the algorithms used showed a range: GPT-5.7 Luna saw the highest potential at 224.50 USD (+2.88 percent), while DeepSeek Chat gave the most bearish estimate at 209.85 USD (-3.83 percent). Gemini 3.5 Flash positioned itself at 223.50 USD (+2.42 percent). The models relied on technical indicators such as the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD).

Long Forecast updated the forecast for September on September 29, 2026 and saw an opening price of 221 USD, a maximum of 252 USD, a minimum of 211 USD, and a monthly average of 229 USD.

Analysts See Significant Upside Potential Above Current Levels

36 analysts gave a buy recommendation for Nvidia according to consensus as of September 29, 2026. The average price target is 264.97 USD, as shown in an analysis published on February 11, 2026. An earlier survey from May 27, 2026 had set an average price target of 303.96 USD, which would have meant around 45 percent upside potential at that time. The range of current estimates spans from 200 to 352 USD.

The distribution of ratings from May 27, 2026 showed that 57 percent of analysts gave a Strong Buy recommendation, while 41 percent issued a Buy rating. StockInvest.us rated Nvidia as a buy candidate on September 28, 2026 with a technical score of 3.73 on a scale from -10 to +10.

Fundamentals Show Triple-Digit Revenue Growth

Nvidia reported revenue of 96.2 billion USD for the second quarter of fiscal year 2027, representing a 106 percent year-over-year increase. Adjusted earnings per share came in at 2.22 USD and exceeded analyst expectations. The data center segment achieved revenue of 89 billion USD, driven by strong demand for the Blackwell Ultra platform and increasing spending from hyperscale cloud providers.

For the third quarter of fiscal year 2027, management guided for revenue of approximately 108 billion USD. This guidance underscores sustained robust demand in the AI segment. On September 26, 2026, Nvidia also announced an increase in its share repurchase authorization by 150 billion USD.

Volatility and Macroeconomic Conditions

The stock showed fluctuations in recent weeks as the broader market became more cautious toward AI-related names. On September 29, 2026, Nvidia traded down 0.72 percent in regular trading. An analysis published on September 26 on Seeking Alpha pointed to historically weak seasonality in September and rising Treasury yields as possible headwinds for growth stocks with high valuations. Higher interest rates can compress valuation multiples of growth stocks even when fundamental business numbers remain intact. Interest rate-driven selloffs could create entry points when price declines exceed fundamental deterioration.

Technical Consolidation Near Record Highs

Nvidia continues to consolidate near record highs after the stock previously posted a strong rally driven by artificial intelligence demand. The technical analysis shows a pattern of sideways movement following a pronounced uptrend. Investors are watching whether the stock breaks out of this consolidation to the upside or whether macroeconomic factors such as rising interest rates and seasonal weakness lead to a correction.

Further Corporate Developments

Nvidia announced the launch of an agent safety platform on September 25 and 26, 2026 following recently reported security incidents. On September 9, it announced the expansion of the open-source CUDA-Q platform for fault-tolerant quantum computing. Additionally, analyses discussed how CEO statements about potential AGI (Artificial General Intelligence) disclosure to the public could influence investor perception.