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.
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.
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!
Data provided for free by IEX. View IEX’s Terms of Use.
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Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-07-13 to 2025-07-11 about stock market, average, industry, and USA.
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License information was derived automatically
The main stock market index of United States, the US500, rose to 6271 points on July 14, 2025, gaining 0.19% from the previous session. Over the past month, the index has climbed 3.94% and is up 11.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.
Stock time series are a favourite among data scientists because they are easily understood and widely available - in this extensive data set you will find long-time time-series with open/close/high/min/adjusted features, as well as data regarding stock splits, trading volume and dividends.
This data set includes Dow Jones member stock prices (status 01.0.1.2021) with all their historic stock performances from 01.01.2020 to 31.12.2020.
Please also check the corresponding Jupyter Notebook to get some basic ideas how to use this data set: https://www.kaggle.com/deeplytics/dow-jones-historic-stock-data-2000-2020
In the data set, all companies use their stock ticker names. If you are unfamiliar with them, please check this overview: https://www.cnbc.com/dow-30/
Today's free APIs and coding libraries make it relatively easy for the average user to get an understanding of stock price movements. More advanced users may even be able to find patterns, that can be incorporated into investment decisions.
Photo by Dmitry Demidko on Unsplash: https://unsplash.com/photos/eBWzFKahEaU?utm_source=unsplash&utm_medium=referral&utm_content=creditShareLink
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This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
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View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.
Dow30 Stock Prediction Dataset
Overview
Welcome to the Dow30 Stock Prediction dataset! This dataset is designed to assist in predicting stock returns for companies in the Dow Jones Industrial Average (Dow30). It includes essential information about each company, such as news from the last two weeks, basic financial data, and stock prices over the same period.
Dataset Structure
The dataset consists of the following columns:
prompt: Information about the company… See the full description on the dataset page: https://huggingface.co/datasets/descartes100/Dow30_stock_prediction.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The dataset consists of daily data from US Dow Jones for 501 large companies, over the time span 2010-2016, while monthly publicly available indexes are also used.
This dataset was created by Krishna Vemuri
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The collected tweets and Earnings Announcements (EA) cover the period of three years, from June 1, 2013 to June 3, 2016. Companies are ordered by the total number of tweets collected. For each company, there is the sentiment distribution, market capitalization, and the prevailing timing of EAs with respect to the NYSE trading hours. Each company issues four EAs per year, therefore there is a total of 360 EAs (30 companies, three years, four EAs per year)1.
This dataset was created by ElvisD
Released under Other (specified in description)
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
Actually, I prepare this dataset for students on my Deep Learning and NLP course.
But I am also very happy to see kagglers play around with it.
Have fun!
Description:
There are two channels of data provided in this dataset:
News data: I crawled historical news headlines from Reddit WorldNews Channel (/r/worldnews). They are ranked by reddit users' votes, and only the top 25 headlines are considered for a single date. (Range: 2008-06-08 to 2016-07-01)
Stock data: Dow Jones Industrial Average (DJIA) is used to "prove the concept". (Range: 2008-08-08 to 2016-07-01)
I provided three data files in .csv format:
RedditNews.csv: two columns The first column is the "date", and second column is the "news headlines". All news are ranked from top to bottom based on how hot they are. Hence, there are 25 lines for each date.
DJIA_table.csv: Downloaded directly from Yahoo Finance: check out the web page for more info.
Combined_News_DJIA.csv: To make things easier for my students, I provide this combined dataset with 27 columns. The first column is "Date", the second is "Label", and the following ones are news headlines ranging from "Top1" to "Top25".
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Indonesia's main stock market index, the JCI, rose to 7113 points on July 15, 2025, gaining 0.22% from the previous session. Over the past month, the index has declined 0.07% and is down 1.55% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Indonesia. Indonesia Stock Market (JCI) - values, historical data, forecasts and news - updated on July of 2025.
The dataset consists of companies listed in the S&P500, stock market index that measures the stock performance of 500 large companies listed on stock exchanges in the United State.
The S&P 500 stock market index, maintained by S&P Dow Jones Indices, comprises 505 common stocks issued by 500 large-cap companies and traded on American stock exchanges (including the 30 companies that compose the Dow Jones Industrial Average)
The S&P500 or SPX is the most commonly followed equity index, it covers about 80 percent of the American equity market by capitalization.
The index constituents and the constituent weights are updated regularly using rules published by S&P Dow Jones Indices. Although called the S&P 500, the index contains 505 stocks
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Japan's main stock market index, the JP225, fell to 39519 points on July 14, 2025, losing 0.13% from the previous session. Over the past month, the index has climbed 3.15%, though it remains 4.25% lower than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on July of 2025.
Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 14 companies listed on the Dominican Republic Stock Exchange (XBVR) in Dominican Republic. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.
Top 5 used data fields in the End-of-Day Pricing Dataset for Dominican Republic:
Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.
Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.
Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.
Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.
Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.
Top 5 financial instruments with End-of-Day Pricing Data in Dominican Republic:
Dow Jones Dominican Republic Index: The Dow Jones Dominican Republic Index represents the performance of companies listed on the Dominican Republic Stock Exchange (Bolsa de Valores de la República Dominicana). It serves as a benchmark for tracking the overall market performance in the country.
Banco Popular Dominicano: Banco Popular Dominicano is one of the largest banks in the Dominican Republic, offering a range of banking and financial services to individuals and businesses. The securities of Banco Popular Dominicano are actively traded on the Dominican Republic Stock Exchange.
Grupo Financiero BHD León: Grupo Financiero BHD León is a financial group that operates in the Dominican Republic, providing banking, insurance, and financial services. The securities of Grupo Financiero BHD León are listed and traded on the Dominican Republic Stock Exchange.
Banco de Reservas de la República Dominicana: Banco de Reservas, also known as Banreservas, is the state-owned bank of the Dominican Republic. It offers a wide range of banking and financial services to customers. The securities of Banreservas are listed on the Dominican Republic Stock Exchange.
Altice Dominicana: Altice Dominicana is a subsidiary of Altice Group, a multinational telecommunications company. Altice Dominicana provides telecommunication services in the Dominican Republic. The securities of Altice Dominicana are listed and traded on the Dominican Republic Stock Exchange.
If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Dominican Republic, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.
Data fields included:
Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E)
Q&A:
The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.
Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Dominican Republic exchanges.
Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Hong Kong's main stock market index, the HK50, rose to 24621 points on July 16, 2025, gaining 0.13% from the previous session. Over the past month, the index has climbed 2.67% and is up 38.79% 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
France's main stock market index, the FR40, fell to 7766 points on July 15, 2025, losing 0.54% from the previous session. Over the past month, the index has climbed 0.31% and is up 2.46% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Jordan's main stock market index, the ASE, rose to 2858 points on July 15, 2025, gaining 0.09% from the previous session. Over the past month, the index has climbed 7.75% and is up 17.91% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Jordan. Jordan Stock Market (ASE General) - values, historical data, forecasts and news - updated on July of 2025.
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Downloadable company sentiment dataset over time for The Walt Disney Company, based on trusted financial news sources.
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.
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.
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!
Data provided for free by IEX. View IEX’s Terms of Use.