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Reliance Historical Price Data
Stock & Market Data
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About
A detailed historical time series of the Reliance stock price, covering transactions over two and a half decades. It includes key financial metrics essential for market analysis and algorithmic trading model development. The primary use case for this data is predicting future stock price movements, typically employing machine learning techniques such as linear regression or neural networks.
Columns
The dataset contains 15 variables detailing daily trading activity:
- Date: The calendar date of the trading record.
- Symbol: The unique identifier for the Reliance stock (RELIANCE).
- Series: The type of security (Equity, 'EQ').
- Prev Close: The closing price from the preceding trading day.
- Open: The starting price of the stock on the trading day.
- High: The highest price the stock reached during the day.
- Low: The lowest price the stock reached during the day.
- Last: The final traded price (Note: approximately 9% of records are missing for this field).
- Close: The official closing price for the trading day.
- VWAP: The Volume Weighted Average Price.
- Volume: The total number of stocks traded.
- Turnover: The total transactional value (Numeric).
- Trades: Information on the number of trades (Note: This column has a high percentage of missing values (62%) and may be suitable for removal).
- Deliverable Volume: Data relating to deliverable volume (Note: Approximately 24% missing).
- %Deliverble: Percentage deliverable (Note: Approximately 24% missing).
Distribution
The data is structured as a single tabular file,
reliance_data.csv, approximately 3620.69 kB in size. The dataset consists of 6205 daily records, with many core fields like Date, Symbol, Series, Open, High, Low, Close, VWAP, Volume, and Turnover showing 100% validity. The file format is standard CSV, suitable for immediate platform upload.Usage
This dataset is ideally suited for financial professionals, data scientists, and students focused on predictive modelling in the capital markets. Specific applications include:
- Training and testing algorithms for stock price forecasting.
- Developing machine learning models (e.g., neural networks or linear regression) to predict price trends.
- Performing time series analysis on historical equity performance.
- Back-testing trading strategies based on volume and price movement metrics.
Coverage
The dataset covers a significant historical period, specifically detailing trading activity from 1996 through to 2020. The scope is entirely focused on the Reliance stock symbol (RELIANCE) within the Equity series. There is no geographic or demographic variation as the data is focused solely on a single listed security.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Machine Learning Engineers: For building and refining quantitative trading models.
- Academic Researchers: For studies in economics, finance, and time series econometrics.
- Individual Investors/Analysts: For conducting advanced historical performance reviews and technical analysis.
- Beginners: Users new to finance data who wish to learn data cleaning, visualisation, and basic linear regression techniques.
Dataset Name Suggestions
- Reliance Historical Price Data (1996-2020)
- Indian Equity Stock Prices: Reliance Time Series
- Financial Market Prediction Dataset: Reliance Stock
- RELIANCE Daily Trading Metrics
Attributes
Original Data Source: Reliance Historical Price Data
QUALITY