Update

Unfortunately, the API this dataset used to pull the stock data isn't free anymore. Instead of having this auto-updating, I dropped the last version of the data files in here, so at least the historic data is still usable.

Content

This dataset provides free end of day data for all stocks currently in the Dow Jones Industrial Average. For each of the 30 components of the index, there is one CSV file named by the stock's symbol (e.g. AAPL for Apple). Each file provides historically adjusted market-wide data (daily, max. 5 years back). See here for description of the columns: https://iextrading.com/developer/docs/#chart

Since this dataset uses remote URLs as files, it is automatically updated daily by the Kaggle platform and automatically represents the latest data.

Acknowledgements

List of stocks and symbols as per https://en.wikipedia.org/wiki/Dow_Jones_Industrial_Average

Thanks to https://iextrading.com for providing this data for free!

Terms of Use

Data provided for free by IEX. View IEX’s Terms of Use.

There have been ups and downs in the history of the Dow Jones Industrial Average index (DJIA). Some years brought as much as 30 percent of decrease in its value. Great Recession, however, took the largest toll on the Dow. In 1931, the index lost 52.67 percent of its value.

Index history

Dow Jones Industrial Average index (DJIA) is one of the most important stock market indices worldwide. It was created in 1896 by Charles Dow and Edward Jones. DJIA is the second oldest U.S. stock index after the Dow Jones Transportation Average, which was established in 1984.

Index components

DJIA reflects the performance of thirty large U.S. publicly traded companies. When the index was created, it was primarily composed of industrial companies, hence the index name. With time, the economic situation in the U.S. has changed and apart from industrial companies, which played a huge role in the market in the 19th and the beginning of the 20th century, also companies from other leading industries were incorporated into the index. At present, the DJIA index is composed of most renowned U.S. corporations, such as Coca Cola, Microsoft or Walt Disney.

Prices for United States Stock Market Index (US30) including live quotes, historical charts and news. United States Stock Market Index (US30) was last updated by Trading Economics this July 14 of 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

An In-depth Analysis of the S&P 500 Index: Performance, Composition, and Implications

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Italy's main stock market index, the IT40, fell to 39764 points on July 14, 2025, losing 0.78% from the previous session. Over the past month, the index has declined 0.41%, though it remains 15.68% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Italy. Italy Stock Market Index (IT40) - values, historical data, forecasts and news - updated on July of 2025.

In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

Nifty 50 The NIFTY 50 is a diversified 50 stock index accounting for 13 sectors of the economy. It is used for a variety of purposes such as benchmarking fund portfolios, index based derivatives and index funds.

NIFTY 50 is owned and managed by NSE Indices Limited (formerly known as India Index Services & Products Limited) (NSE Indices). NSE Indices is India's specialised company focused upon the index as a core product.

The NIFTY 50 Index represents about 66.8% of the free float market capitalization of the stocks listed on NSE as on March 29, 2019. The total traded value of NIFTY 50 index constituents for the last six months ending March 2019 is approximately 53.4% of the traded value of all stocks on the NSE. Impact cost of the NIFTY 50 for a portfolio size of Rs.50 lakhs is 0.02% for the month March 2019.. NIFTY 50 is ideal for derivatives trading. From June 26, 2009, NIFTY 50 is computed based on free float methodology.

Nifty 100 NIFTY 100 is a diversified 100 stock index representing major sectors of the economy. NIFTY 100 represents top 100 companies based on full market capitalisation from NIFTY 500. This index intends to measure the performance of large market capitalisation companies. The NIFTY 100 tracks the behavior of combined portfolio of two indices viz. NIFTY 50 and NIFTY Next 50

NIFTY 100 is owned and managed by NSE Indices Limited (formerly known as India Index Services & Products Limited) (NSE Indices). NSE Indices is India’s specialized company focused upon the index as a core products.

• The NIFTY 100 Index represents about 76.8% of the free float market capitalization of the stocks listed on NSE as on March 29, 2019. • The total traded value for the last six months ending March 2019 of all index constituents is approximately 66.2% of the traded value of all stocks on the NSE. From June 26, 2009, NIFTY 100 is computed based on free float methodology.

Nifty Microcap 250

The Nifty Microcap 250 index aims to track the performance of microcap stocks listed or permitted to trade on NSE. The index includes the top 250 companies beyond the Nifty 500 index constituents, selected based on their average full market capitalization. A stocks weight is based on its free-float market capitalization.

Highlights:

The index has a base date of April 01, 2005, with a base value of 1000. The index includes the top 250 companies beyond the Nifty 500 index constituents, selected based on their average full market capitalization.

The weight of each stock in the index is based on its free float market capitalization.

A buffer based on full market capitalization is used to reduce portfolio churn.

The index is reviewed semi-annually.

Nifty500 It represents the top 500 companies based on full market capitalisation from the eligible universe. The NIFTY 500 Index represents about 96.1% of the free float market capitalization of the stocks listed on NSE as on March 29, 2019. The total traded value for the last six months ending March 2019, of all Index constituents is approximately 96.5% of the traded value of all stocks on NSE. The NIFTY 500 companies are disaggregated into industry indices viz. NIFTY Industry Indices.

** FMCG** MCGs (Fast Moving Consumer Goods) are those goods and products, which are non-durable, mass consumption products and available off the shelf. The Nifty FMCG Index comprises of maximum of 15 companies who manufacture such products which are listed on the National Stock Exchange (NSE).

Healthcare The Nifty Healthcare Index is designed to reflect the behaviour and performance of the Healthcare companies. The Nifty Healthcare Index comprises of maximum of 20 stocks that are listed on the National Stock Exchange.

Information Technology (IT) Information Technology (IT) industry has played a major role in the Indian economy. In order to have a good benchmark of the Indian IT sector, NSE Indices has developed the Nifty IT sector index. Nifty IT provides investors and market intermediaries with an appropriate benchmark that captures the performance of the IT segment of the market.

Companies in this index are those that have more than 50% of their turnover from IT related activities like IT Infrastructure , IT Education and Software Training , Telecommunication Services and Networking Infrastructure, Software Development, Hardware Manufacturer’s, Vending, Support and Maintenance.

REAL ESTATE Real estate sector in India is witnessing significant growth. Recent dynamics of the market reflected the opportunity of creating wealth across real estate companies, as proven by recent listings of real estate companies resulting into prominent growth in public funds and private equity.

The main growth thrust is coming due to favorable demographics, increasing purchasing power, existence of customer friendly banks & housing finance companies, professional...

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Electro Components (ELCO) Stock: Primed for a Surge?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Download real-time and historical stock price data, including all buy and sell orders at every price level. Get each trade tick-by-tick and order queue composition at all prices. Access high-fidelity US equities stock market data using our Python, Rust, and C++ APIs. Providing full order book depth (MBO), OHLC aggregates, and more.

The Nikkei Stock Average (Nikkei 225) closed at ********* points in June 2025. In February 2024, the index surpassed an all-time high recorded in 1989. The Nikkei 225 is a price-weighted stock market index that has been calculated by the Nihon Keizai Shimbun (Nikkei) newspaper since 1950. It comprises 225 constituents listed on the Prime Market of the Tokyo Stock Exchange (TSE).

Hong Kong's main stock market index, the HK50, rose to 24219 points on July 14, 2025, gaining 0.33% from the previous session. Over the past month, the index has climbed 0.66% and is up 34.43% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on July of 2025.

The main stock market index of Netherlands, the NL25, fell to 921 points on July 11, 2025, losing 0.63% from the previous session. Over the past month, the index has declined 0.97% and is down 2.48% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Netherlands. Netherlands Stock Market Index (NL25) - values, historical data, forecasts and news - updated on July of 2025.

After falling below *** index points following the financial crisis at the end of 2008, the Stoxx Europe 600 Index has fluctuated significantly in recent years. As of the end of 2024, the Stoxx Europe 600 Index stood at ****** points, the highest year-end value recorded throughout the period considered.The Stoxx Europe 600 index also called the STOXX 600 is an indicator of the performance of the European stock market. It measures the performance of large mid and small-cap companies across ** countries in Europe. The number of constituents is fixed at ***.

Prices for Italy Stock Market Index (IT40) including live quotes, historical charts and news. Italy Stock Market Index (IT40) was last updated by Trading Economics this July 14 of 2025.