Dark Mode
News-Driven Stock Analytics for Reliance
Stock & Market Data
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Daily Reliance Stock Prices with News Sentiment Analysis Scores
This data product features daily stock market data for Reliance Industries, correlating it with associated news articles and corresponding sentiment analysis scores. The product is managed and updated daily via a scheduled notebook process. Its primary aim is to facilitate the creation of stock market strategies and inform investment decisions based directly on aggregated news sentiments.
Columns
The product is delivered in three separate files:
- reliance_news.json: Includes attributes such as author, title, description, URL, source, image, category, language, country, and published_at time.
- reliance_stock_history.csv: Contains standard historical stock data: Date, Open, High, Low, Close, Volume, Dividends, and Stock splits.
- reliance_news_sentiment.csv: Features published_at time, title, description, URL, the sentiment classification, and a numerical sentiment score.
Distribution
The data is structured across three files: one JSON file (
reliance_news.json) and two CSV files (reliance_news_sentiment.csv and reliance_stock_history.csv). The daily stock market figures are sourced using the yfinance API, while news data is obtained through the mediastack API. Specific metrics regarding the total count of rows or records are not provided.Usage
This product is ideal for developing automated trading models or establishing a stock market strategy where decisions are explicitly driven by public and media sentiment analysis. It is highly suitable for time series analysis involving market dynamics and external news factors.
Coverage
The scope focuses specifically on the stock prices and associated news coverage pertaining to Reliance Industries. The data is updated on a daily basis. Coverage details include language, country, and publication time for news articles, aligning with the daily stock history.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: To identify market entry or exit points by combining fundamental stock data with sentiment indicators.
- Data Scientists: For training machine learning models to predict short-term stock volatility based on current media sentiment.
- Quantitative Researchers: To study the empirical correlation between daily news sentiment scores and subsequent stock price movements.
Dataset Name Suggestions
- Reliance Stock Sentiment Predictor
- Daily Reliance Market and News Scores
- Stock Strategy Data for Reliance Industries
- News-Driven Stock Analytics for Reliance
Attributes
Original Data Source: News-Driven Stock Analytics for Reliance
QUALITYLoading...