The Nasdaq 100 Index tracks the largest domestic and international non-financial companies listed on the Nasdaq Stock Exchange. This statistic shows the leading 20 companies on the Nasdaq 100 Index by market capitalization. As of January 2025, the American technology company ***** ranked first, with a market capitalization of over ***** trillion euros. This was followed by ******, with a market capitalization amounting to *** trillion euros.

Content

Top Companies of NASDAQ 100 in 2022

Here are the top companies on the NASDAQ 100 index in 2022. NASDAQ 100 is one of the most prominent large-cap growth indices in the world.

Many companies listed in the NASDAQ 100 operate in the tech sector. That is why many investors who are focused investing in tech stocks also invest in NASDAQ index to grow their funds

What is NASDAQ 100?

NASDAQ 100 is a stock market index composed of the 100 largest and most actively traded companies in the United States of America in the non- financial sector and are segmented under technology, retail, industrial, biotechnology, health care, telecom, transportation, media and services sectors.

Acknowledgement

Data collected from Yahoo Finance.

The dataset contains a total of 25,161 rows, each row representing the stock market data for a specific company on a given date. The information collected through web scraping from www.nasdaq.com includes the stock prices and trading volumes for the companies listed, such as Apple, Starbucks, Microsoft, Cisco Systems, Qualcomm, Meta, Amazon.com, Tesla, Advanced Micro Devices, and Netflix.

Data Analysis Tasks:

1) Exploratory Data Analysis (EDA): Analyze the distribution of stock prices and volumes for each company over time. Visualize trends, seasonality, and patterns in the stock market data using line charts, bar plots, and heatmaps.

2)Correlation Analysis: Investigate the correlations between the closing prices of different companies to identify potential relationships. Calculate correlation coefficients and visualize correlation matrices.

3)Top Performers Identification: Identify the top-performing companies based on their stock price growth and trading volumes over a specific time period.

4)Market Sentiment Analysis: Perform sentiment analysis using Natural Language Processing (NLP) techniques on news headlines related to each company. Determine whether positive or negative news impacts the stock prices and volumes.

5)Volatility Analysis: Calculate the volatility of each company's stock prices using metrics like Standard Deviation or Bollinger Bands. Analyze how volatile stocks are in comparison to others.

Machine Learning Tasks:

1)Stock Price Prediction: Use time-series forecasting models like ARIMA, SARIMA, or Prophet to predict future stock prices for a particular company. Evaluate the models' performance using metrics like Mean Squared Error (MSE) or Root Mean Squared Error (RMSE).

2)Classification of Stock Movements: Create a binary classification model to predict whether a stock will rise or fall on the next trading day. Utilize features like historical price changes, volumes, and technical indicators for the predictions. Implement classifiers such as Logistic Regression, Random Forest, or Support Vector Machines (SVM).

3)Clustering Analysis: Cluster companies based on their historical stock performance using unsupervised learning algorithms like K-means clustering. Explore if companies with similar stock price patterns belong to specific industry sectors.

4)Anomaly Detection: Detect anomalies in stock prices or trading volumes that deviate significantly from the historical trends. Use techniques like Isolation Forest or One-Class SVM for anomaly detection.

5)Reinforcement Learning for Portfolio Optimization: Formulate the stock market data as a reinforcement learning problem to optimize a portfolio's performance. Apply algorithms like Q-Learning or Deep Q-Networks (DQN) to learn the optimal trading strategy.

The dataset provided on Kaggle, titled "Stock Market Stars: Historical Data of Top 10 Companies," is intended for learning purposes only. The data has been gathered from public sources, specifically from web scraping www.nasdaq.com, and is presented in good faith to facilitate educational and research endeavors related to stock market analysis and data science.

It is essential to acknowledge that while we have taken reasonable measures to ensure the accuracy and reliability of the data, we do not guarantee its completeness or correctness. The information provided in this dataset may contain errors, inaccuracies, or omissions. Users are advised to use this dataset at their own risk and are responsible for verifying the data's integrity for their specific applications.

This dataset is not intended for any commercial or legal use, and any reliance on the data for financial or investment decisions is not recommended. We disclaim any responsibility or liability for any damages, losses, or consequences arising from the use of this dataset.

By accessing and utilizing this dataset on Kaggle, you agree to abide by these terms and conditions and understand that it is solely intended for educational and research purposes.

Please note that the dataset's contents, including the stock market data and company names, are subject to copyright and other proprietary rights of the respective sources. Users are advised to adhere to all applicable laws and regulations related to data usage, intellectual property, and any other relevant legal obligations.

In summary, this dataset is provided "as is" for learning purposes, without any warranties or guarantees, and users should exercise due diligence and judgment when using the data for any purpose.

The NYSE U.S. 100 Index tracks the largest U.S. companies traded on the New York Stock Exchange. This statistic shows the leading 20 companies on the NYSE U.S. 100 Index by market capitalization. As of January 28, 2024 the multinational conglomerate company ****************** ranked as the first, with a market capitalization of over *** billion euros. This was followed by ********* and ***************, with market capitalizations amounting to *** billion and *** billion euros respectively. NYSE U.S. 100 Index vs. Nasdaq 100 Index The New York Stock Exchange and the Nasdaq are the largest two stock exchanges in the world, but they differ in the kinds of companies they list. The NYSE is known to list stable and long-lasting firms, commonly referred to as “blue-chip” companies. In contrast, the Nasdaq is renowned for listing the world’s biggest companies, mainly from the tech industry. Similar to the NYSE U.S. 100 Index, the Nasdaq 100 Index tracks the 100 largest non-financial companies listed on the Nasdaq exchange, including both U.S. and non-U.S. companies. The leader of the NYSE U.S. 100 index: Berkshire Hathaway Berkshire Hathaway, the leader of the NYSE U.S. 100 Index, was also among the world's largest companies by revenue in 2023. The company is a multinational conglomerate and holding company with insurance as its core business and interests in other sectors such as railroad, utilities and energy, finance. In fact, Berkshire was the world's biggest insurance company by revenue in 2023. As a holding company, it has significant stakes in some of the world’s largest companies, including Apple, Bank of America and Coca-Cola. With its diverse background in various businesses and industries, Berkshire Hathaway had a total revenue of *** billion U.S. dollars in 2023.

Stock Data of Top USA Companies: Apple, Tesla, Amazon

👨‍💻 Author: Azhar Saleem

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Dataset Description

This dataset provides daily stock data for some of the top companies in the USA stock market, including major players like Apple, Microsoft, Amazon, Tesla, and others. The data is collected from Yahoo Finance, covering each company’s historical data from its starting date until today. This comprehensive dataset enables in-depth analysis of key financial indicators and stock trends for each company, making it valuable for multiple applications.

Column Descriptions

The dataset contains the following columns, consistent across all companies:

• Date: The date of the stock data entry.
• Open: The stock's opening price for the day.
• High: The highest price reached during the trading day.
• Low: The lowest price during the trading day.
• Close: The stock’s closing price for the day.
• Volume: The total number of shares traded on that day.
• Dividends: Any dividends paid out on that day.
• Stock Splits: Records stock split events, if any, on that day.

Potential Use Cases

1. Machine Learning & Deep Learning:

   • Stock Price Prediction: Use historical prices to train models for forecasting future stock prices.
   • Sentiment Analysis and Price Correlation: Combine with external sentiment data to predict price movements based on market sentiment.
   • Anomaly Detection: Detect unusual price patterns or volume spikes using classification algorithms.

2. Data Science:

   • Trend Analysis: Identify long-term trends for each company or compare trends between companies.
   • Volatility Analysis: Calculate volatility to assess risk and return patterns over time.
   • Correlation Analysis: Compare stock performance across companies to study market relationships.

3. Data Analysis:

   • Historical Performance: Review historical data to understand growth trends, market impact of stock splits, and dividends.
   • Seasonal Patterns: Analyze data for seasonal trends or recurring patterns across years.
   • Investment Strategy Backtesting: Test various investment strategies based on historical data to assess potential profitability.

4. Financial Research:

   • Economic Impact Studies: Investigate how major events affected stock prices across top companies.
   • Sector-Specific Analysis: Identify performance differences across sectors, such as tech, healthcare, and retail.

This dataset is a powerful tool for analysts, researchers, and financial enthusiasts, offering versatility across multiple domains from stock analysis to algorithmic trading models.

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for United States (DDAM02USA156NWDB) from 1998 to 2016 about market cap, companies, stock market, and USA.

The number of domestic companies listed on the Nasdaq and on the New York Stock Exchange (NYSE) has seen some fluctuations since 2018. As of the end of 2023, the NYSE had a total of ***** listed domestic and international companies, while the figure for the Nasdaq was much higher, standing at *****. Despite this, the NYSE has a higher market capitalization than the Nasdaq. What are the top listed companies? The NYSE has been a home for stable and long-lasting firms, also known as “blue-chip” companies. For example, Berkshire Hathaway, established in 1839, is the largest company traded on the NYSE. On the other hand, the Nasdaq has been known for listing major tech companies. For instance, Apple is the largest company listed on the Nasdaq. As of 2024, both companies were among the biggest companies in the world in terms of market capitalization. Which stock exchange has the most companies worldwide? Although the NYSE and the Nasdaq are the world’s largest two stock market operators by market capitalization, the Japan Exchange Group (JPX) is the biggest stock exchange in the world based on the number of companies. The JPX was created in 2013 through the merger of the Tokyo Stock Exchange and the Osaka Securities Exchange and is also one of the largest stock exchanges in the world based on total market capitalization.

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for Poland (DDAM02PLA156NWDB) from 1998 to 2020 about market cap, Poland, companies, and stock market.

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for China (DDAM02CNA156NWDB) from 2001 to 2020 about market cap, companies, stock market, and China.

Based on the total number of companies listed, the Japan Exchange Group was the largest stock exchange operator in the world as of Janaury 2025, with 3,968 companies listed. Of these, only six were foreign companies, with the remaining being domestic. The stock exchange with the highest number of international companies at this time was the U.S. Nasdaq, with 871. However, despite only having the seventh-highest number of companies, the New York Stock Exchange has the highest market capitalization of any stock exchange operator.

As of September 2025, the New York Stock Exchange (NYSE) and the Nasdaq - the two largest stock exchange operators in the United States - held a combined market capitalization for domestic listed companies of over ** trillion U.S. dollars. Both markets were almost evenly sized at this point in time - at approximately **** and **** trillion U.S. dollars, respectively. However, the Nasdaq has grown much quicker than the NYSE since January 2018, when their respective domestic market caps were ** and ** trillion U.S. dollars. Much of this can be attributed to the success of information technology stocks during the global coronavirus (COVID-19) pandemic, as the Nasdaq is the traditional venue for companies operating in the tech sector.

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for Indonesia (DDAM02IDA156NWDB) from 1998 to 2017 about market cap, Indonesia, companies, and stock market.

In this dataset i have provided daily stock market data of top 500+ companies on the basis of valuation. which contains valuable feature like high price of the stock on a specific date, low price, close price, volume traded, opening price of stock on a particular date, is any stock splitting happened if yes then in which ratio and the dividend announce by the company. This data is good for analysis of the finding hidden stock pattern, finding a strategy for investing in the market.

Columns of the dataset

Date - Date of the trading day

Open - Opening price of the stock on that particular date

High - High price of the stock on that particular date

Low - Low price of the stock on that particular date

Close - Closing price of the stock on that particular date

Volume - Volume traded on that trading day

Dividends - Dividend provided by the company on particular trading day

Stock splitting - Stocks splitting done by the company on a particular trading day

What you can do with this dataset -

• You can analyze the trends
• You can make strategy based on the hidden pattern
• You can make a stock price prediction model
• You can apply your own made trading strategy
• You can apply different different indicators on the data and can check your strategy

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Graph and download economic data for Value Traded of Top 10 Traded Companies to Total Value Traded for United States (DDAM01USA156NWDB) from 1998 to 2016 about market cap, companies, stock market, and USA.

The New York Stock Exchange (NYSE) is the largest stock exchange in the world, with an equity market capitalization of almost ** trillion U.S. dollars as of November 2025. The following largest three exchanges were the NASDAQ, PINK Exchange, and the Frankfurt Exchange. What is a stock exchange? A stock exchange is a marketplace where stockbrokers, traders, buyers, and sellers can trade in equities products. The largest exchanges have thousands of listed companies. These companies sell shares of their business, giving the general public the opportunity to invest in them. The oldest stock exchange worldwide is the Frankfurt Stock Exchange, founded in the late sixteenth century. Other functions of a stock exchange Since these are publicly traded companies, every firm listed on a stock exchange has had an initial public offering (IPO). The largest IPOs can raise billions of dollars in equity for the firm involved. Related to stock exchanges are derivatives exchanges, where stock options, futures contracts, and other derivatives can be traded.

Title: Stock Prices of 500 Biggest Companies by Market Cap (Last 5 Years)

Description: This dataset comprises historical stock market data extracted from Yahoo Finance, spanning a period of five years. It includes daily records of stock performance metrics for the top 500 companies based on market capitalization.

Attributes: 1. Date: The date corresponding to the recorded stock market data. 2. Open: The opening price of the stock on a given date. 3. High: The highest price of the stock reached during the trading day. 4. Low: The lowest price of the stock observed during the trading day. 5. Close: The closing price of the stock on a specific date. 6. Volume: The volume of shares traded on the given date. 7. Dividends: Any dividend payments made by the company on that date (if applicable). 8. Stock Splits: Information regarding any stock splits occurring on that date. 9. Company: Ticker symbol or identifier representing the respective company.

Usefulness: - Investors and analysts can leverage this dataset to conduct various analyses such as trend analysis, volatility assessment, and predictive modeling. - Researchers can explore correlations between stock prices of different companies, sector-wise performance, and market trends over the specified duration. - Machine learning enthusiasts can employ this dataset for developing predictive models for stock price forecasting or anomaly detection.

Note: Prior to using this dataset, it's recommended to perform data cleaning, handling missing values, and verifying the consistency of data across companies and time periods.

License: The dataset is sourced from Yahoo Finance and is provided for analytical purposes. Refer to Yahoo Finance's terms of use for further details on data usage and licensing.

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Context

This dataset is helpful for those interested in daily market share values changes of Amazon, Apple, Google, Microsoft, and Tesla from mid-2010 to mid-2020.

Content

This dataset contains daily OPEN, CLOSE, VOLUME, HIGH, and LOW values of Amazon, Apple, Google, Microsoft, and Tesla companies as tagged by dates.

Acknowledgements

Values are fetched from the official NASDAQ website.

Graph and download economic data for Market Capitalization Outside of Top 10 Largest Companies to Total Market Capitalization for Mexico (DDAM02MXA156NWDB) from 1998 to 2018 about market cap, Mexico, companies, and stock market.