Adani Group 7-Year Financial Time Series
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About
Financial records covering the market performance of Adani Enterprises Limited offer crucial insights into the volatility and growth of a major Indian conglomerate. Spanning from January 2016 to January 2023, this collection captures daily trading metrics essential for technical analysis, historical market study, and algorithmic trading development. The data provides a granular view of price movements and trading volumes, enabling robust back-testing of investment strategies within the context of the Indian stock market.
Columns
- Date: The specific calendar date of the trading session.
- Open: The price of the stock when the market opened for the day.
- High: The highest price the stock reached during the trading session.
- Low: The lowest price the stock dropped to during the trading session.
- Close: The final price at which the stock traded when the market closed.
- Adj Close: The closing price adjusted for corporate actions such as dividends and stock splits.
- Volume: The total number of shares traded during the day.
Distribution
- Format: .CSV (Comma Separated Values)
- Size: Approximately 129.15 kB
- Row Count: 1,750 valid records
- Structure: 7 columns with 100% data validity (0% missing or mismatched values).
- Update Frequency: Never (Static historical dataset).
Usage
- Technical Analysis: plotting moving averages, RSI, and MACD to identify trends.
- Predictive Modelling: Training machine learning algorithms (e.g., LSTM, ARIMA) for time-series forecasting.
- Volatility Assessment: Analysing the spread between High and Low prices to gauge market sentiment.
- Portfolio Management: Simulating historical returns to assess risk and performance metrics.
Coverage
- Geographic Scope: India (National Stock Exchange data context).
- Time Range: 01 January 2016 to 30 January 2023.
- Subject: Adani Enterprises Limited (Ticker: ADANIENT.NS).
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: For conducting deep-dive equity research and trend analysis.
- Data Scientists: For building and testing predictive stock market models.
- Quantitative Researchers: For back-testing algorithmic trading strategies.
- Students and Academics: For learning time-series analysis and financial econometrics.
Dataset Name Suggestions
- Adani Enterprises Historical Stock Data (2016-2023)
- Indian Equity Market: Adani Enterprises Daily Metrics
- Adani Group 7-Year Financial Time Series
- ADANIENT.NS Daily Trading Records
Attributes
Original Data Source: Adani Group 7-Year Financial Time Series
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