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Daily Financial Metrics for Reliance Stock
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About
Evaluation metrics for the stock of Reliance Industries, detailing trading activity over a full year. This financial data set captures essential daily values required for market analysis, trend spotting, and predictive modelling. The data includes the daily open, high, low, and closing stock prices, alongside trading volume.
Columns
The data is structured across eight distinct columns, providing detailed daily financial metrics:
- Sr.no: A sequential serial number or index for the records.
- Date: The calendar date on which the stock transaction or measurement occurred.
- Open: The stock's opening price for the day.
- High: The highest price the stock reached during the trading day.
- Low: The lowest price the stock fell to during the trading day.
- Close: The stock's final closing price for the day.
- Adj Close: The adjusted closing price, accounting for factors like dividends and stock splits.
- Volume: The total volume of shares traded during the period.
Distribution
The data is available in a standard CSV format, specifically the file 'Stock-Data-Reliance.csv,' with a size of approximately 21.27 kB. The structure is tabular, featuring 8 columns. The data contains records corresponding to 250 daily observations. It is typically expected to be updated annually.
Usage
This data is perfectly suited for use cases such as:
- Developing and testing quantitative trading strategies.
- Performing time series analysis and forecasting stock price movements.
- Studying market volatility and calculating risk metrics.
- Building machine learning models for stock prediction algorithms.
- Historical analysis of Reliance Industries' financial performance during the specified period.
Coverage
The data covers a time range spanning 15 July 2019 to 15 July 2020. The focus is on the stock performance of Reliance Industries. Geographically, it reflects the trading environment where this stock is listed and tracked. The data includes daily observations for this entire period.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For training and evaluating stock prediction algorithms and time-series models.
- Financial Analysts: For market research, performance evaluation, and comparative analysis.
- Investors: For conducting diligence and forming investment hypotheses based on historical data.
- Students/Academics: For educational projects related to finance, econometrics, or capital market studies.
Dataset Name Suggestions
- Reliance Industries Daily Stock Prices 2019-2020
- RIL Annual Stock Performance Data
- Daily Financial Metrics for Reliance Stock
Attributes
Original Data Source: Daily Financial Metrics for Reliance Stock
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