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Long-term Indian Financial Market Trend Analysis Data
Finance & Banking Analytics
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About
Analysing the daily movements of the Indian stock market through the Nifty50 index offers a historical perspective on one of the world's most dynamic emerging economies. Tracking the index over several years allows for the identification of long-term trends and the development of sophisticated algorithmic trading strategies. By examining the lifecycle of price action from 2007 through various global economic shifts, these records serve as an essential foundation for backtesting financial theories and training predictive machine learning models. Understanding the pulse of the Indian equity market is like reading the cardiogram of a nation’s economic health, providing vital insights into market volatility and investor sentiment.
Columns
- Date: The specific calendar day of the market session, covering a range from late 2007 to mid-2023.
- Open: The starting price of the index at the commencement of the trading session, recorded in Indian Rupees.
- High: The peak valuation reached by the index during the specific trading day.
- Low: The lowest valuation recorded for the index within the daily session.
- Close: The final trading price of the index at the conclusion of the market day.
- Adj Close: The closing price modified to account for all applicable corporate actions, including stock splits and dividend distributions.
- Volume: The total number of shares transacted throughout the trading period.
Distribution
The information is delivered in a single CSV file titled
Nifty50.csv with a file size of approximately 305.82 kB. It features 3,930 valid records across 7 distinct columns, maintaining a 100% validity rate with no missing or mismatched entries reported. The dataset is updated on an annual basis to ensure the inclusion of recent market performance.Usage
This resource is ideal for developing regression models to predict future index movements based on historical patterns. It is well-suited for quantitative analysis, allowing researchers to calculate rolling averages, volatility metrics, and momentum indicators. Additionally, students can use the data to practice time-series forecasting and exploratory data analysis within the context of the Indian financial sector.
Coverage
The scope covers the Indian Nifty50 index with a temporal range extending from 17 September 2007 to 14 August 2023. It provides a thorough overview of market sessions for nearly sixteen years, encompassing diverse economic cycles and significant global events.
License
CC0: Public Domain
Who Can Use It
Financial analysts and retail investors can leverage these records to refine their understanding of market cycles and historical entry points. Data scientists and academic researchers might utilise the dataset to benchmark the accuracy of new predictive algorithms against historical market truths. Furthermore, beginners looking for high-quality, valid financial data can find this an excellent primary source for learning the fundamentals of market analytics.
Dataset Name Suggestions
- Nifty50 Historical Market Performance and Prediction Dataset
- Indian Stock Market Daily Index Registry (2007-2023)
- Historical Nifty50 Open-High-Low-Close (OHLC) Records
- Nifty50 Index Daily Volatility and Volume Archive
- Long-term Indian Financial Market Trend Analysis Data
Attributes
Original Data Source: Long-term Indian Financial Market Trend Analysis Data
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