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Dow Jones Industrial Average Sentiment Data
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About
Financial market data combining Dow Jones Industrial Average (DJIA) stock prices with major news headlines. This dataset captures the interplay between daily news sentiment and stock market fluctuations, offering a resource for proving concepts in financial modelling and sentiment analysis. It aggregates historical stock performance metrics alongside top news stories to facilitate the exploration of how world events influence market trends.
Columns
- Date: The calendar date of the record.
- Label: A classification label used for analysis.
- Top1 - Top25: Twenty-five columns containing the daily top news headlines.
- Open: The opening price of the DJIA for the given date.
- High: The highest price reached during the trading day.
- Low: The lowest price reached during the trading day.
- Close: The closing price of the DJIA.
- Volume: The number of shares traded.
- Adj Close: The adjusted closing price, accounting for corporate actions.
Distribution
The dataset is provided in CSV format. The stock table component (DJIA_table.csv) contains 1,259 valid records with a file size of approximately 114.53 kB. There are no missing or mismatched values in the stock table sample provided.
Usage
- Sentiment Analysis: Analysing the correlation between news headline sentiment and market movement.
- Financial Forecasting: Training machine learning models to predict stock trends based on historical data and textual news inputs.
- Exploratory Data Analysis (EDA): Investigating patterns in volatility and volume over time.
- Natural Language Processing (NLP): Processing and classifying news text to derive market signals.
Coverage
- Geographic Scope: United States (Dow Jones Industrial Average).
- Time Range: The combined resources cover a period spanning from 2008 to 2021. Specifically, news headlines cover 2008-08-08 to 2016-07-01, whilst the stock data table provided covers 2016-07-05 to 2021-07-02.
- Subject: Business, Finance, and Investing.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For developing predictive models and testing NLP algorithms.
- Financial Analysts: For back-testing trading strategies against historical news cycles.
- Academic Researchers: For studying the impact of media on financial markets.
- Students: As a clean dataset for learning time-series analysis and text mining.
Dataset Name Suggestions
- DJIA Stock Prices and News Headlines
- Dow Jones Industrial Average Sentiment Data
- Daily News and Stock Market History
- DJIA Financial Metrics and Headlines 2008-2021
Attributes
Original Data Source: Dow Jones Industrial Average Sentiment Data
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