National Stock Exchange NIFTY-50 Index Values
This contains the daily value of the NSE Index for the top-50 stocks of NSE
@kaggle.kalilurrahman_national_stock_exchange_nifty_50_index_values
This contains the daily value of the NSE Index for the top-50 stocks of NSE
@kaggle.kalilurrahman_national_stock_exchange_nifty_50_index_values
📈📊 NSE NIFTY-50 INDEX Stock Dataset 📊📈
Welcome to the NSE NIFTY-50 INDEX Stock Dataset on Kaggle! This dataset provides comprehensive historical stock data for the NSE NIFTY-50 INDEX, which is India's premier stock market index. The dataset has been downloaded using the Yahoo! Finance library, ensuring reliable and accurate information for your analysis.
The NSE NIFTY-50 INDEX represents the top 50 companies listed on the National Stock Exchange (NSE) of India. It serves as a benchmark index, reflecting the overall performance of the Indian equity market. This dataset contains a wealth of information to explore and understand the dynamics of the Indian stock market.
The dataset includes the following columns:
There are numerous exciting possibilities for analyzing this dataset. Here are a few potential use cases:
I would like to express my gratitude to Yahoo! Finance for providing access to this valuable dataset. The NSE NIFTY-50 INDEX is a vital resource for researchers, traders, and investors interested in the Indian stock market.
Happy analyzing! 🚀📈💼
Please note that the dataset is for informational purposes only and should not be considered as financial advice. Always do your own research before making any investment decisions.
CREATE TABLE nifty50_stock_action (
"date" VARCHAR,
"dividends" VARCHAR,
"stock_splits" VARCHAR
);CREATE TABLE nifty50_stock_dividends (
"date" VARCHAR,
"dividends" VARCHAR
);CREATE TABLE nifty50_stock_history (
"date" VARCHAR,
"open" DOUBLE,
"high" DOUBLE,
"low" DOUBLE,
"close" DOUBLE,
"volume" BIGINT,
"dividends" DOUBLE,
"stock_splits" DOUBLE
);CREATE TABLE nifty50_stock_info (
"maxage" VARCHAR,
"n_86400" VARCHAR -- 86400
);CREATE TABLE nifty50_stock_spilts (
"date" VARCHAR,
"stock_splits" VARCHAR
);Anyone who has the link will be able to view this.