Prices for US 100 Tech Index including live quotes, historical charts and news. US 100 Tech Index was last updated by Trading Economics this August 17 of 2025.

Graph and download economic data for NASDAQ 100 Index (NASDAQ100) from 1986-01-02 to 2025-08-14 about NASDAQ, stock market, indexes, and USA.

United States - NASDAQ 100 was 23219.86000 Index in July of 2025, according to the United States Federal Reserve. Historically, United States - NASDAQ 100 reached a record high of 23219.86000 in July of 2025 and a record low of 128.43000 in October of 1987. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - NASDAQ 100 - last updated from the United States Federal Reserve on July of 2025.

The annual returns of the Nasdaq 100 Index from 1986 to 2024. fluctuated significantly throughout the period considered. The Nasdaq 100 index saw its lowest performance in 2008, with a return rate of ****** percent, while the largest returns were registered in 1999, at ****** percent. As of June 11, 2024, the rate of return of Nasdaq 100 Index stood at ** percent. The Nasdaq 100 is a stock market index comprised of the 100 largest and most actively traded non-financial companies listed on the Nasdaq stock exchange. How has the Nasdaq 100 evolved over years? The Nasdaq 100, which was previously heavily influenced by tech companies during the dot-com boom, has undergone significant diversification. Today, it represents a broader range of high-growth, non-financial companies across sectors like consumer services and healthcare, reflecting the evolving landscape of the global economy. The annual development of the Nasdaq 100 recently has generally been positive, except for 2022, when the NASDAQ experienced a decline due to worries about escalating inflation, interest rates, and regulatory challenges. What are the leading companies on Nasdaq 100? In August 2023, ***** was the largest company on the Nasdaq 100, with a market capitalization of **** trillion euros. Also, ****************************************** were among the five leading companies included in the index. Market capitalization is one of the most common ways of measuring how big a company is in the financial markets. It is calculated by multiplying the total number of outstanding shares by the current market price.

Graph and download economic data for NASDAQ-100 Ex-Tech Total Return (NASDAQNXTR) from 2006-08-22 to 2025-08-08 about NASDAQ, return, indexes, and USA.

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.

China Shenzhen Stock Exchange: Index: SME-ChiNext Tech 100 data was reported at 2,986.360 NA in 14 May 2025. This records an increase from the previous number of 2,959.160 NA for 13 May 2025. China Shenzhen Stock Exchange: Index: SME-ChiNext Tech 100 data is updated daily, averaging 2,551.120 NA from Dec 2012 (Median) to 14 May 2025, with 3001 observations. The data reached an all-time high of 4,601.090 NA in 04 Aug 2021 and a record low of 1,155.670 NA in 27 Dec 2012. China Shenzhen Stock Exchange: Index: SME-ChiNext Tech 100 data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under High Frequency Database’s Financial and Futures Market – Table CN.EDI.SE: Shenzhen Stock Exchange.

NASDAQ: Index: NASDAQ 100 Technology Sector Index data was reported at 9,723.190 NA in Apr 2025. This records an increase from the previous number of 9,472.590 NA for Mar 2025. NASDAQ: Index: NASDAQ 100 Technology Sector Index data is updated monthly, averaging 4,219.390 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 10,862.950 NA in Jan 2025 and a record low of 1,306.370 NA in May 2012. NASDAQ: Index: NASDAQ 100 Technology Sector Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Monthly.

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...

Prices for US Tech Composite Index including live quotes, historical charts and news. US Tech Composite Index was last updated by Trading Economics this August 16 of 2025.

Index Time Series for Leverage Shares -3x Short US Tech 100 ETP Securities GBP. The frequency of the observation is daily. Moving average series are also typically included.

United States NASDAQ: Index: Total Return: NASDAQ 100 Technology Sector Index data was reported at 11,815.040 NA in Apr 2025. This records a decrease from the previous number of 12,175.450 NA for Mar 2025. United States NASDAQ: Index: Total Return: NASDAQ 100 Technology Sector Index data is updated monthly, averaging 4,805.300 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 13,180.480 NA in Jan 2025 and a record low of 1,366.100 NA in May 2012. United States NASDAQ: Index: Total Return: NASDAQ 100 Technology Sector Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Total Return: Monthly.

Disclaimer!!! Data uploaded here are collected from the internet. The sole purposes of uploading these data are to provide this Kaggle community with a good source of data for analysis and research. I don't own these datasets and am also not responsible for them legally by any means. I am not charging anything (either monetary or any favor) for this dataset.

For the first time, Nifty 50 stocks data and two indices data, along with 55 technical indicators used by Market experts are calculated and made available. Kindly download the data and make sure to share your code in public and if you like this data, do upvote. Thank you.

About Nifty 50

The NIFTY 50 index is a well-diversified 50 companies index reflecting overall market conditions. NIFTY 50 Index is computed using the free float market capitalization method.

NIFTY 50 can be used for a variety of purposes such as benchmarking fund portfolios, launching of index funds, ETFs and structured products.

Overview

This dataset contains historical daily prices for Nifty 100 stocks and indices currently trading on the Indian Stock Market. - Data samples are of 5-minute intervals and the availability of data is from Jan 2015 to Feb 2022. - Along with OHLCV (Open, High, Low, Close, and Volume) data, we have created 55 technical indicators. - More details about these technical indicators are provided in the Data description file.

Content

The whole dataset is around 33 GB (compressed here to 13 GB), and 100 stocks (Nifty 100 stocks) and 2 indices (Nifty 50 and Nifty Bank indices) are present in this dataset. Details about each file are - - OHLCV (Open, High, Low, Close, and Volume) data - 55 Technical indicator values are also present

Inspiration

• Data is uploaded for Research and Educational purposes.

Possible problem statements

• Univariate and Multi-variate time series forecasting of stock prices and index prices
• Multi-variate data can be used to predict the trend of the stock price (Buy or Sell or Hold)
• Different intraday or positional trading strategies can be built out of this multivariate data. [technical indicators are already added here]
• EDA on time series data

Stock Names

| ACC | ADANIENT | ADANIGREEN | ADANIPORTS | AMBUJACEM | | -- | -- | -- | -- | -- | | APOLLOHOSP | ASIANPAINT | AUROPHARMA | AXISBANK | BAJAJ-AUTO | | BAJAJFINSV | BAJAJHLDNG | BAJFINANCE | BANDHANBNK | BANKBARODA | | BERGEPAINT | BHARTIARTL | BIOCON | BOSCHLTD | BPCL | | BRITANNIA | CADILAHC | CHOLAFIN | CIPLA | COALINDIA | | COLPAL | DABUR | DIVISLAB | DLF | DMART | | DRREDDY | EICHERMOT | GAIL | GLAND | GODREJCP | | GRASIM | HAVELLS | HCLTECH | HDFC | HDFCAMC | | HDFCBANK | HDFCLIFE | HEROMOTOCO | HINDALCO | HINDPETRO | | HINDUNILVR | ICICIBANK | ICICIGI | ICICIPRULI | IGL | | INDIGO | INDUSINDBK | INDUSTOWER | INFY | IOC | | ITC | JINDALSTEL | JSWSTEEL | JUBLFOOD | KOTAKBANK | | LICI | LT | LTI | LUPIN | M&M | | MARICO | MARUTI | MCDOWELL-N | MUTHOOTFIN | NAUKRI | | NESTLEIND | NIFTY 50 | NIFTY BANK | NMDC | NTPC | | ONGC | PEL | PGHH | PIDILITIND | PIIND | | PNB | POWERGRID | RELIANCE | SAIL | SBICARD | | SBILIFE | SBIN | SHREECEM | SIEMENS | SUNPHARMA | | TATACONSUM | TATAMOTORS | TATASTEEL | TCS | TECHM | | TITAN | TORNTPHARM | ULTRACEMCO | UPL | VEDL | | WIPRO | YESBANK | | | |

United States New York Stock Exchange: Index: NYSE Arca Tech 100 Index data was reported at 6,687.365 NA in Apr 2025. This records an increase from the previous number of 6,664.050 NA for Mar 2025. United States New York Stock Exchange: Index: NYSE Arca Tech 100 Index data is updated monthly, averaging 3,078.981 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 7,360.773 NA in Jan 2025 and a record low of 1,165.300 NA in May 2012. United States New York Stock Exchange: Index: NYSE Arca Tech 100 Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Monthly.

United States Index: Dow Jones: Technology data was reported at 1,831.130 31Dec1991=100 in Oct 2018. This records a decrease from the previous number of 2,000.010 31Dec1991=100 for Sep 2018. United States Index: Dow Jones: Technology data is updated monthly, averaging 724.180 31Dec1991=100 from Aug 2005 (Median) to Oct 2018, with 159 observations. The data reached an all-time high of 2,015.530 31Dec1991=100 in Aug 2018 and a record low of 341.140 31Dec1991=100 in Feb 2009. United States Index: Dow Jones: Technology data remains active status in CEIC and is reported by Dow Jones. The data is categorized under Global Database’s United States – Table US.Z015: Dow Jones: Indexes.

United States - Producer Price Index by Commodity: Professional Services (Partial): Information Technology (IT) Technical Support and Consulting Services (Partial) was 143.67100 Index Dec 2008=100 in June of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Professional Services (Partial): Information Technology (IT) Technical Support and Consulting Services (Partial) reached a record high of 165.46500 in January of 2025 and a record low of 100.00000 in December of 2008. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Professional Services (Partial): Information Technology (IT) Technical Support and Consulting Services (Partial) - last updated from the United States Federal Reserve on August of 2025.

Success.ai’s Startup Data for Global Tech Startups offers a comprehensive and reliable dataset tailored for businesses, investors, and organizations seeking to connect with tech startups worldwide. Covering emerging companies in software, AI, fintech, health tech, and other innovation-driven industries, this dataset provides detailed funding insights, firmographic data, and verified contact details for decision-makers.

With access to continuously updated, AI-validated data from over 700 million global profiles, Success.ai ensures your outreach, partnership development, and investment strategies are powered by accuracy and relevance. Backed by our Best Price Guarantee, this solution is designed to help you thrive in the competitive global startup ecosystem.

Why Choose Success.ai’s Startup Data?

1. Verified Contact Data for Precision Outreach

   • Access verified contact details, including work emails and phone numbers, for startup founders, CEOs, and key decision-makers.
   • AI-driven validation ensures 99% accuracy, reducing errors and improving engagement outcomes.

2. Comprehensive Global Coverage

   • Includes tech startups from major hubs such as Silicon Valley, Europe’s fintech capitals, Asia’s innovation centers, and beyond.
   • Gain insights into startup operations, growth trajectories, and funding patterns across diverse regions.

3. Continuously Updated Datasets

   • Real-time updates capture changes in startup funding rounds, leadership roles, and business expansions.
   • Stay informed on emerging opportunities in the fast-evolving global startup landscape.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Access comprehensive startup data for tech companies and professionals worldwide.
• Funding Insights: Understand investment rounds, funding amounts, and venture capital backing for tech startups.
• Firmographic Data: Gain details on company size, industry focus, business locations, and market presence.
• Decision-maker Profiles: Connect with founders, executives, and leadership teams driving innovation in global startups.

Key Features of the Dataset:

1. Comprehensive Startup Profiles

   • Identify and connect with tech startups specializing in AI, SaaS, fintech, health tech, e-commerce, and more.
   • Target decision-makers responsible for product innovation, market expansion, and fundraising strategies.

2. Advanced Filters for Precision Campaigns

   • Filter startups by funding stage (seed, Series A, Series B+), industry focus, or geographic location.
   • Tailor campaigns to align with specific business needs, such as partnership opportunities or technology solutions.

3. Regional and Industry-specific Insights

   • Leverage data on startup trends, funding activity, and market demands to refine strategies.
   • Align outreach efforts with high-growth sectors and regional opportunities in tech innovation.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Investor Relations and Partnership Development

   • Build relationships with startups seeking venture capital, strategic investments, or market partnerships.
   • Foster collaborations that enhance innovation, accelerate growth, or enter new markets.

2. Marketing Campaigns and Outreach

   • Promote technology solutions, consulting services, or operational tools tailored to the unique needs of startups.
   • Use verified contact data for targeted multi-channel outreach, including email, phone, and LinkedIn.

3. Market Research and Competitive Analysis

   • Analyze global startup trends, funding dynamics, and innovation hotspots to refine product development and marketing strategies.
   • Benchmark against competitors to identify high-demand solutions and underserved markets.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers in tech startups seeking candidates for engineering, product management, or growth roles.
   • Provide workforce optimization platforms or talent development solutions tailored to startups.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality startup data at competitive prices, ensuring strong ROI for your marketing, sales, and investment initiatives.

2. Seamless Integration

   • Integrate verified startup data into CRM systems, analytics tools, or marketing platforms via APIs or downloadable formats, streamlining workflows and enhancing productivity.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven decisions, refine targeting, and boost engagement rates in startup-focused campaigns.

4. Customizabl...

United States - Industrial Production: Total Excluding Selected High-Tech. and Motor Vehicles & Parts was 102.75120 Index 2012=100 in June of 2025, according to the United States Federal Reserve. Historically, United States - Industrial Production: Total Excluding Selected High-Tech. and Motor Vehicles & Parts reached a record high of 106.33520 in September of 2007 and a record low of 53.53950 in March of 1967. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Industrial Production: Total Excluding Selected High-Tech. and Motor Vehicles & Parts - last updated from the United States Federal Reserve on August of 2025.

In 2023, Alphabet emerged as the Fortune 100 tech company with highest consumer loyalty score, which stood at ** points out of a 100. Intel and Apple ranked second, both earning ** points.

Dataset

This dataset was created by Aakash119

Released under MIT

Contents