Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-07-30 to 2025-07-29 about stock market, average, industry, and USA.

The value of the DJIA index amounted to ****** at the end of June 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

The main stock market index of United States, the US500, rose to 6391 points on July 31, 2025, gaining 0.45% from the previous session. Over the past month, the index has climbed 3.12% and is up 17.34% 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.

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 Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

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".

1) Data Introduction • The Stock Market Dataset contains metadata on stocks and ETFs listed on NASDAQ, including attributes such as ticker symbol, company name, market classification, ETF status, start date, and last trading date.

2) Data Utilization (1) Characteristics of the Stock Market Dataset: • Since the dataset includes only static metadata without price data, it is well-suited for preprocessing and classification tasks such as stock filtering, sector labeling, and distinguishing between ETFs and regular stocks.

(2) Applications of the Stock Market Dataset: • Automated sector classification of stocks: This dataset can be used to automatically tag or analyze stocks by sector using text-based industry keywords.

United Kingdom's main stock market index, the GB100, fell to 9133 points on July 31, 2025, losing 0.05% from the previous session. Over the past month, the index has climbed 3.96% and is up 10.25% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on July of 2025.

The statistic shows the worst days of the Dow Jones Industrial Average index from 1897 to 2024. The worst day in the history of the index was ****************, when the index value decreased by ***** percent. The largest single day loss in points was on ***********.

Israel's main stock market index, the TA-125, fell to 3080 points on July 31, 2025, losing 0.21% from the previous session. Over the past month, the index has climbed 1.83% and is up 56.58% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Israel. Israel Stock Market (TA-125) - values, historical data, forecasts and news - updated on July of 2025.

Japan's main stock market index, the JP225, rose to 40839 points on July 30, 2025, gaining 0.40% from the previous session. Over the past month, the index has climbed 2.13% and is up 4.44% compared to the same time last year, 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.

China's main stock market index, the SHANGHAI, fell to 3573 points on July 31, 2025, losing 1.18% from the previous session. Over the past month, the index has climbed 3.34% and is up 21.85% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

This research project explored when governments call elections and how the timing of elections influences the electoral result. In many parliamentary systems, the timing of the next election is at the discretion of the current government. Rather than waiting for the end of their term, leaders are free to call elections when it is advantageous to them and when they expect to win. This project was designed to use game theory to model how leaders decide whether to call elections based on their expectations about future performance. The data collected for this study reflect the timing of the British General Elections. In particular, this study addressed five research questions: (1) When are elections called? (2) What are the electoral implications of the timing of an election? (3) How are election timing and subsequent post-electoral economic performance related? (4) How does the election timing affect the length of the campaign? and (5) How does the London stock market respond to the announcement of elections? The data cover the time span from 1900 to 2001, although most of the files focus on the period from August 1, 1945, to June 13, 2001. Part 1 (Dates of Key Political Events Data) contains the dates of key political events, such as elections, first meetings of parliament, dissolutions, announcements of an election, by-elections, shifts in party allegiances, confidence votes, or changes in Prime Minister. Additional variables in Part 1 include whether there is a minority government or coalition government, percentage share of the vote by party type, number of seats by party type, and election turnout. Part 2 (By-Elections Data) includes the change in seats as a result of by-elections. Variables include the date of the by-election, electoral district, and change in seats by political parties. Part 3 (Change in Party Allegiance Data) contains information about the date of the allegiance shift, the electoral district, and defections to and from various political parties. Part 4 (Public Opinion Data) includes Gallup public opinion data on voting intentions, approval of government record, and approval of Prime Minister and opposition leader. Part 5 (Basic Economic Variables) contains basic economic data for the United Kingdom, such as various measures of gross domestic product and change in retail price index. Part 6 (Monthly Inflation Data) contains monthly inflation data as measured by the percentage change in retail price index. Part 7 (Unemployment Data) consists of monthly, quarterly, and yearly unemployment data. Part 8 (Stock Market Data) includes data on the United Kingdom market index, United States Dow Jones industrial average, Standard and Poors' composite index, the Financial Times 500 stock index, and Datastream's measure of British funds on the London Exchange. Part 9 (Financial Times 30 Share Index Data) contains the Financial Times 30 close and the volume of bargains. Lastly, Part 10 (Newspaper Stories Data) consists of counts of newspaper stories relating to the next general election.

Tweet Sentiment's Impact on Stock Returns

862,231 Labeled Instances

By [source]

About this dataset

This dataset contains 862,231 labeled tweets and associated stock returns, providing a comprehensive look into the impact of social media on company-level stock market performance. For each tweet, researchers have extracted data such as the date of the tweet and its associated stock symbol, along with metrics such as last price and various returns (1-day return, 2-day return, 3-day return, 7-day return). Also recorded are volatility scores for both 10 day intervals and 30 day intervals. Finally, sentiment scores from both Long Short - Term Memory (LSTM) and TextBlob models have been included to quantify the overall tone in which these messages were delivered. With this dataset you will be able to explore how tweets can affect a company's share prices both short term and long term by leveraging all of these data points for analysis!

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How to use the dataset

In order to use this dataset, users can utilize descriptive statistics such as histograms or regression techniques to establish relationships between tweet content & sentiment with corresponding stock return data points such as 1-day & 7-day returns measurements.

The primary fields used for analysis include Tweet Text (TWEET), Stock symbol (STOCK), Date (DATE), Closing Price at the time of Tweet (LAST_PRICE) a range of Volatility measures 10 day Volatility(VOLATILITY_10D)and 30 day Volatility(VOLATILITY_30D ) for each Stock which capture changes in market fluctuation during different periods around when Twitter reactions occur. Additionally Sentiment Polarity analysis undertaken via two Machine learning algorithms LSTM Polarity(LSTM_POLARITY)and Textblob polarity provide insight into whether people are expressing positive or negative sentiments about each company at given times which again could influence thereby potentially influence Stock Prices over shorter term periods like 1-Day Returns(1_DAY_RETURN),2-Day Returns(2_DAY_RETURN)or longer term horizon like 7 Day Returns*7DAY RETURNS*.Finally MENTION field indicates if names/acronyms associated with Companies were specifically mentioned in each Tweet or not which gives extra insight into whether company specific contexts were present within individual Tweets aka “Company Relevancy”

Research Ideas

• Analyzing the degree to which tweets can influence stock prices. By analyzing relationships between variables such as tweet sentiment and stock returns, correlations can be identified that could be used to inform investment decisions.
• Exploring natural language processing (NLP) models for predicting future market trends based on textual data such as tweets. Through testing and evaluating different text-based models using this dataset, better predictive models may emerge that can give investors advance warning of upcoming market shifts due to news or other events.
• Investigating the impact of different types of tweets (positive/negative, factual/opinionated) on stock prices over specific time frames. By studying correlations between the sentiment or nature of a tweet and its effect on stocks, insights may be gained into what sort of news or events have a greater impact on markets in general

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: reduced_dataset-release.csv | Column name | Description | |:----------------------|:-------------------------------------------------------------------------------------------------------| | TWEET | Text of the tweet. (String) | | STOCK | Company's stock mentioned in the tweet. (String) | | DATE | Date the tweet was posted. (Date) | | LAST_PRICE | Company's last price at the time of tweeting. (Float) ...

India's main stock market index, the SENSEX, fell to 80888 points on July 31, 2025, losing 0.73% from the previous session. Over the past month, the index has declined 3.36% and is down 1.20% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

As of January 29, 2025, the FTSE index stood at ******** points - well above its average value of around ***** points in the past few years.On the 12th of March 2020, amid the escalating crisis surrounding the coronavirus and fears of a global recession, the FTSE 100 suffered the second largest one day crash in its history and the biggest since the 1987 market crash. On the 23rd of March, the FTSE index saw its lowest value this year to date at ******** but has since began a tentative recovery. With the continuation of the pandemic, the FTSE 100 index was making a tentative recovery between late March 2020 and early June 2020. Since then the FSTE 100 index had plateaued towards the end of July, before starting a tentative upward trend in November. FTSE 100 The Financial Times Stock Exchange 100 Index, otherwise known as the FTSE 100 Index is a share index of the 100 largest companies trading on the London Stock Exchange in terms of market capitalization. At the end of March 2024, the largest company trading on the LSE was Shell. The largest ever initial public offering (IPO) on the LSE was Glencore International plc. European stock exchanges While nearly every country in Europe has a stock exchange, only five are considered major, and have a market capital of over one trillion U.S dollars. European stock exchanges make up two of the top ten major stock markets in the world. Europe’s biggest stock exchange is the Euronext which combines seven markets based in Belgium, France, England, Ireland, the Netherlands, Norway, and Portugal.

Russia's main stock market index, the MOEX, rose to 2731 points on July 31, 2025, gaining 0.18% from the previous session. Over the past month, the index has declined 4.12% and is down 6.99% 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 initial public offering (IPO) of Saudi Aramco, the Saudi Arabian multinational petroleum and natural gas company, on the Tadawul in December 2019, was the largest public offering globally ever as of December 2024. The IPO of Saudi Aramco raised approximately **** billion U.S. dollars. Why do companies opt for IPOs? An initial public offering (IPO), also known as ‘going public’, is the company’s first stock sale to the public. IPO happens when an initially private company decides to open up to the stock market, taking the first step to become a publicly traded enterprise. Shares are traded in the open market after the initial sales, and any public investor can take part on the trade. In the United States alone, *** companies made their public-market debut in 2023. IPOs are made by different companies for a number of reasons. Smaller sized companies may seek an IPO for access to capital and cheaper credit for further expansion. Other companies that may already be of considerable size, however, may use an initial public offering to other ends. Opening up to the stock market can also facilitate merger and acquisitions, considering stocks can be part of a future deal. Chinese companies feature twice Two Chinese companies featured in the list as of 2024. Alibaba had the second largest after Saudi Aramco, with the Industrial and Commercial Bank of China (ICBC) in tenth place. Alibaba is listed on the New York Stock Exchange (as well as the Hong Kong Exchange), making the company’s IPO also the largest one in the U.S. to date. ICBC is listed on the Shanghai Stock Exchange and the Hong Kong Stock Exchange.

Canada's main stock market index, the TSX, fell to 27370 points on July 30, 2025, losing 0.62% from the previous session. Over the past month, the index has climbed 1.86% and is up 18.43% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Canada. Canada Stock Market Index (TSX) - values, historical data, forecasts and news - updated on July of 2025.

Pakistan's main stock market index, the KSE 100, rose to 139428 points on August 1, 2025, gaining 0.03% from the previous session. Over the past month, the index has climbed 6.97% and is up 78.24% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Pakistan. Pakistan Stock Market (KSE100) - values, historical data, forecasts and news - updated on August of 2025.