Context

The Dow Jones Industrial Average is one of the most followed stock market indexes by investors, financial professionals and the media.

Content

It measures the daily price movements of 30 large American companies on the Nasdaq and the New York Stock Exchange. The Dow Jones Industrial Average is widely viewed as a proxy for general market conditions and even the economy of the United States.

This Dow Jones Industrial Average dataset is downloaded from https://www.investing.com/indices/us-30-historical-data, including 2767 closing records from January 4th 2009 to December 31st 2019.

Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-07-06 to 2025-07-03 about stock market, average, industry, and USA.

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.

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.

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.

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.

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

Este conjunto de datos contiene información financiera extraída de los informes 10-K presentados por las empresas que conforman el Dow Jones Industrial Average (DJ30) ante la Securities and Exchange Commission (SEC) de EE.UU. La información abarca métricas clave de desempeño financiero, tales como activos, pasivos, ingresos, gastos operativos, beneficios por acción, flujo de caja y otros indicadores contables y fiscales.

Cada fila del dataset representa un informe financiero correspondiente a una empresa del DJ30 en un período fiscal determinado. Incluye detalles como el símbolo bursátil, el nombre de la empresa, el estado de incorporación, y si es un emisor frecuente de informes ante la SEC.

Este conjunto de datos permite realizar análisis financieros, comparaciones de desempeño entre las principales empresas del índice Dow Jones, evaluación de tendencias del mercado y construcción de modelos predictivos para estrategias de inversión.

Russia's main stock market index, the MOEX, fell to 2802 points on July 4, 2025, losing 0.75% from the previous session. Over the past month, the index has declined 1.91% and is down 11.06% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on July of 2025.

The online database market is experiencing robust growth, driven by the increasing need for readily accessible, structured information across various sectors. The market's expansion is fueled by several key factors. Firstly, the digital transformation sweeping industries necessitates efficient data management and analysis, making online databases an indispensable tool. Secondly, the rise of big data and the corresponding need for sophisticated analytical capabilities are bolstering demand. Thirdly, advancements in cloud computing and data storage technologies are lowering the barriers to entry and making online databases more scalable and cost-effective. The market is segmented by various types of databases (relational, NoSQL, etc.), deployment models (cloud, on-premise), and end-user industries (healthcare, finance, etc.). While the precise market size for 2025 is unavailable, considering a typical CAGR (Compound Annual Growth Rate) of around 15% in the technology sector and the listed companies' activities, a reasonable estimate would place the 2025 market value in the range of $700-$800 million. This growth is expected to continue through 2033, although challenges such as data security concerns and the complexity of database management may act as restraints. The competitive landscape is marked by a mix of established players like Dow Jones and General Electric, and smaller, specialized firms focusing on niche markets. Companies are focusing on innovation, incorporating AI and machine learning capabilities into their database offerings, and expanding their cloud-based solutions. Geographic growth will likely be strongest in regions with developing digital infrastructure and a growing need for data-driven decision-making. The future trajectory of the online database market appears highly promising, propelled by continuous technological advancement and the insatiable appetite for data analysis across numerous industries. Strategies for market participants will center on leveraging advanced technologies, providing robust data security, and catering to the specific needs of individual industry segments. Companies with a strong focus on customer support and a user-friendly interface are poised to capture larger market shares.

Tickers and company full name of DJIA component stocks on June 8, 2009.