History Says Nasdaq Will Increase in 2025. 1 Stock-Split Stock Buying Before It Happens.

The Nasdaq Composite has been on fire over the past several years, fueled by the advent of Artificial Intelligence (AI), improving economic conditions, an uncontested election, and the Federal Reserve Bank’s recent interest rate cut. After returning 43% in 2023, the tech-centric index rose as much as 30% in 2024. History shows that the rally will likely continue until 2025.

The current bull market began on October 12, 2022, and while every rally is different, history can provide important context. Bull markets last more than five years, on average. As the current rally just entered its third year, there is a strong possibility that the Nasdaq will continue to gain next year. It is also important to note that the Nasdaq has yielded 73% of the time, since 53 years, so history is on the side of investors. Finally, the Nasdaq has jumped 12%, on average, in the years following positive gains, which suggests that there is some upside ahead.

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Additionally, there has been a resurgence in the popularity of stock splits in the past few years. As a result, investors are taking renewed interest in companies that split their shares, as these are often driven by years of strong sales and profit growth. One such company Nvidia (NASDAQ: NVDA). The stock has gained 26,920% over the past 10 years (as of this writing), prompting management to initiate a 10-for-1 split early this year — after a 4-for-1 split in 2021.

Despite the rush, there is reason to believe that Nvidia’s growth will continue in 2025. Read on to see why.

A person in a business suit draws an arrow with an upward direction labeled 2025.
Image source: Getty Images.

The adoption of artificial intelligence has spread like wildfire in the past two years as businesses want to share in the productivity gains promised by these advanced algorithms. Generative AI has proven adept at writing and summarizing emails, searching and summarizing content, mining data, creating original content, and writing computer code — and new applications are being discovered every day. Automating and streamlining tasks saves users time and money, driving new users to adopt AI.

Nvidia pioneered graphics processing units (GPUs) that make all of this possible. These unique chips provide sheer number-crunching capabilities that brought AI to life. The secret is in parallel processing or breaking down computer tasks into smaller, manageable pieces. Nvidia first developed these chips to provide lifelike images in video games but soon found other applications for this technology development, including data centers, high-performance computing (HPC), and machine learning – the first branch of AI.

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