About this Dataset

This dataset provides a comprehensive, up-to-date collection of daily historical stock data for NVIDIA Corporation (NVDA). It captures key trading data, including opening price, closing price, trading volume, and more, making it suitable for time series analysis, financial forecasting, and algorithmic trading simulations.

About the Company

NVIDIA is a leading technology company renowned for its innovations in graphics processing units (GPUs), artificial intelligence (AI), and computer hardware. The company was founded in January 1993 and went public on the NASDAQ in January 1999 under the ticker symbol NVDA. NVIDIA's GPUs and the CUDA platform have become industry standards, serving as the backbone for AI research and development. The company has experienced significant growth fueled by the gaming industry and breakthroughs in AI and deep learning. In recent years, NVIDIA has expanded its reach into data centers, autonomous vehicles, and other high-growth markets.

Data Dictionary

Date: The specific calendar date for the trading session, formatted as YYYY-MM-DD.

Open: The price at which the stock opened at the start of the trading day.

High: The highest price reached by the stock during the trading day.

Low: The lowest price recorded for the stock during the trading day.

Close: The price at which the stock closed at the end of the trading day.

Volume: The total number of shares traded on that particular day.

Data Collection

The data for this dataset is collected using the yfinance Python library, which pulls information directly from the Yahoo Finance API. The dataset covers daily stock prices for NVIDIA Corporation (NVDA), with each entry representing a single trading day.

Potential Use Cases

Financial Analysis: Analyze trends and volatility in NVIDIA's stock price over time.

Machine Learning: Develop and test models for stock price prediction using time-series algorithms like LSTM and ARIMA.

Backtesting: Use the historical data to backtest and optimize trading strategies.

Technical Analysis: Calculate and visualize technical indicators such as Moving Averages, Bollinger Bands, and MACD.

Explore the factors leading to a downturn in AI-linked tech stocks, with highlight on Nvidia's upcoming earnings and strategic industry shifts.

Context

Assume you work for a trading firm as an analyst. Your manager asks you to analyze the stock price of NVIDIA Corporation (Ticker NYSE: NVDA) and find out the following:

What caused the recent increase in the share price? Is there still potential for the stock price to go up?

In this case, what would you do?

1. Identify Potential Factors - Do some research to find out what factors affected the stock price rise. - Is it the company sales? Is it the company's expanding business? Is the entire sector performing well? Is it the entire stock market going up? - Several factors can affect the stock price increase based on your research and understanding of the company.

Once the factors are identified you can start collecting the data to do the analysis.

2. Collect the Data Once you have done your research and identified the factors that might have led to the price increase of NVDA stock, you can start collecting the data.

3. Relationship between the NVDA's Stock Price and Selected Factors After data is collected you may need a system that would tell you how the stock price of NVDA is influenced by each factor associated. You may not only want to know how are the fluctuations in the stock price but also quantify the fluctuations in the stock price for the changes in the quarterly sales number. You can build a linear regression model to understand this information.

4. Forecasting the future stock price Once you have built a linear model, you can create several scenarios to predict the stock price move with respect to the sales growth numbers. For example, simulate the stock price change given 0.5%, 1%, 1.5%, .... increase in sales number.

Identifying Potential Factors

Assume that after certain research, you were able to find out the following factors that has influenced the NVDA's stock price:

1. NVDA's sales growth
2. Dow Jones Industrial Average Index excess return
3. Advanced Micro Devices (AMD)'s stock excess return
4. Intel's stock excess return
5. Qualcomm's stock excess return
6. NVDA's stock excess return: We are interested in predicting the value for this variable.
7. Excess Return: Excess return is a return of a stock over and above the return of a risk-free rate such as Treasury Bills.

But, Why excess return?

Risk-Adjusted Performance: By investing in the stock market an investor takes additional risk compared to other risk-free assets. Hence, excess return helps the investor understand the risk premium earned for taking additional risk. This makes it a more accurate measure of how well a stock is performing relative to the additional risk taken.

Why competitor company's stock returns?

The stock prices/return of competitor companies can also affect the stock performance of NVDA due to some interconnected factors in the stock market:

- Earnings Report of Competitor Companies: If other companies are doing good in the same industry, it represents strong industry strength, and an investor can expect NVDA good results as the industry is doing good and start buying the shares which will have a positive impact on NVDA's share price. - Sector Trends: Companies within the same sector often move in the same direction due to sector-wise trends. If the competitor companies' share price rises due to some favourable conditions in the sector, NVDA's share price might also benefit due to positive sentiment in the sector.

The global market for NVIDIA's Grace CPU is projected to be valued at $1.2 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 15%, reaching approximately $5 billion by 2034.

Nvidia's shares dropped as China launches antitrust probe, spotlighting the 2019 Mellanox acquisition and raising market concerns amid geopolitical tensions.

The DPU market is projected to be valued at $2.5 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 12.1%, reaching approximately $7.8 billion by 2034.

The NVIDIA 40 Series Graphics Cards have emerged as a game-changing force in the GPU market, catering to the ever-evolving demands of gamers, content creators, and artificial intelligence (AI) researchers. The current market for these high-performance graphics solutions is characterized by robust growth, fueled by t

The global graphic processor market size is set to expand from USD 103.51 billion in 2025 to USD 1.14 trillion by 2035, showcasing CAGR performance of 27.1%. Key stakeholders in the industry are NVIDIA, AMD, Intel, Qualcomm, Apple, leading innovation and setting industry benchmarks.

Context

In this dataset you can find the Top 100 companies in the technology sector. You can also find 5 of the most important and used indices in the financial market as well as a list of all the companies in the S&P 500 index and in the technology sector.

The Global Industry Classification Standard also known as GICS is the primary financial industry standard for defining sector classifications. The Global Industry Classification Standard was developed by index providers MSCI and Standard and Poor’s. Its hierarchy begins with 11 sectors which can be further delineated to 24 industry groups, 69 industries, and 158 sub-industries.

You can read the definition of each sector here.

The 11 broad GICS sectors commonly used for sector breakdown reporting include the following: Energy, Materials, Industrials, Consumer Discretionary, Consumer Staples, Health Care, Financials, Information Technology, Telecommunication Services, Utilities and Real Estate.

In this case we will focuse in the Technology Sector. You can see all the sectors and industry groups here.

To determine which companies, correspond to the technology sector, we use Yahoo Finance, where we rank the companies according to their “Market Cap”. After having the list of the Top 100 best valued companies in the sector, we proceeded to download the historical data of each of the companies using the NASDAQ website.

Regarding to the indices, we searched various sources to find out which were the most used and determined that the 5 most frequently used indices are: Dow Jones Industrial Average (DJI), S&P 500 (SPX), NASDAQ Composite (IXIC), Wilshire 5000 Total Market Inde (W5000) and to specifically view the technology sector SPDR Select Sector Fund - Technology (XLK). Historical data for these indices was also obtained from the NASDQ website.

Content

In total there are 107 files in csv format. They are composed as follows:

• 100 files contain the historical data of tech companies.
• 5 files contain the historical data of the most used indices.
• 1 file contain the list of all the companies in the S&P 500 index.
• 1 file contain the list of all the companies in the technology sector.

Column Description

Every company and index file has the same structure with the same columns:

Date: It is the date on which the prices were recorded. High: Is the highest price at which a stock traded during the course of the trading day. Low: Is the lowest price at which a stock traded during the course of the trading day. Open: Is the price at which a stock started trading when the opening bell rang. Close: Is the last price at which a stock trades during a regular trading session. Volume: Is the number of shares that changed hands during a given day. Adj Close: The adjusted closing price factors in corporate actions, such as stock splits, dividends, and rights offerings.

The two other files have different columns names:

List of S&P 500 companies

Symbol: Ticker symbol of the company. Name: Name of the company. Sector: The sector to which the company belongs.

Technology Sector Companies List

Symbol: Ticker symbol of the company. Name: Name of the company. Price: Current price at which a stock can be purchased or sold. (11/24/20) Change: Net change is the difference between closing prices from one day to the next. % Change: Is the difference between closing prices from one day to the next in percentage. Volume: Is the number of shares that changed hands during a given day. Avg Vol: Is the daily average of the cumulative trading volume during the last three months. Market Cap (Billions): Is the total value of a company’s shares outstanding at a given moment in time. It is calculated by multiplying the number of shares outstanding by the price of a single share. PE Ratio: Is the ratio of a company's share (stock) price to the company's earnings per share. The ratio is used for valuing companies and to find out whether they are overvalued or undervalued.

Acknowledgements

SEC EDGAR | Company Filings NASDAQ | Historical Quotes Yahoo Finance | Technology Sector Wikipedia | List of S&P 500 companies S&P Dow Jones Indices | S&P 500 [S&P Dow Jones Indices | DJI](https://www.spglobal.com/spdji/en/i...

Nvidia announces 20 new AI factories in Europe, including a major German facility, to enhance its presence amid declining China sales due to US export controls.

The year 2025 has seen significant stock market volatility, with many of the world's largest companies experiencing substantial year-to-date losses. Tesla, Inc. has been hit particularly hard, with a **** percent decline as of April 10, 2025. Even tech giants like Apple and Microsoft have not been immune, seeing losses of ***** percent and **** percent respectively. Tech giants maintain market dominance despite losses Despite the recent stock price declines, technology companies continue to lead in market capitalization. Microsoft, Apple, NVIDIA, Amazon, and Alphabet (Google) remain among the few companies with market caps exceeding ************ U.S. dollars. This dominance reflects their long-term growth and influence in the global economy, even as they face short-term challenges in the stock market. Market volatility reflects broader economic concerns The current stock market losses are reminiscent of past periods of economic uncertainty. In 2020, the COVID-19 pandemic caused severe market turbulence, with the Dow Jones Industrial Average dropping around ***** points in just four weeks. While the market has since recovered and reached new highs, the current downturn suggests ongoing economic concerns. Investors are likely reacting to various factors, including inflation, geopolitical tensions, and potential shifts in consumer behavior.

In 2025, the global graphics processing unit (GPU) market was valued at ***** billion U.S. dollars, with forecasts suggesting that by 2030 this is likely to rise to ****** billion U.S. dollars, growing at a compound annual growth rate (CAGR) of ***** percent from 2025 to 2030.