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NSE Stock Data By Ticker (dataset 2)

This dataset contains data for 1987 NSE Companies

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2

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About this Dataset

NSE Stock Data By Ticker (dataset 2)

This File is part of a 3-series dataset that encompasses data sourced for stock data about all NSE Companies, presently including only a total of 1987. It contains the following data: Open, High, Low, Close, Adj Close, Volume, Symbol, Sector, Industry, Market, Quote Type, Dividend Yield, Debt-to-Equity Ratio, Current Ratio, Earning per Share, Variability Index. The Variability index is a self-developed Index to measure Intraday Volatility of the stock, and thus determine, qualitatively, the risk of investing in that company.

Tables

Ivp

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.ivp
  • 227.61 KB
  • 5460 rows
  • 17 columns
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CREATE TABLE ivp (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" DOUBLE,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Iwel

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.iwel
  • 52.55 KB
  • 756 rows
  • 17 columns
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CREATE TABLE iwel (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Izmo

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.izmo
  • 192.51 KB
  • 4291 rows
  • 17 columns
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CREATE TABLE izmo (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jagran

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jagran
  • 222.06 KB
  • 4527 rows
  • 17 columns
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CREATE TABLE jagran (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jagsnpharm

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jagsnpharm
  • 229.84 KB
  • 5465 rows
  • 17 columns
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CREATE TABLE jagsnpharm (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" DOUBLE,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jaibalaji

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jaibalaji
  • 223.43 KB
  • 5088 rows
  • 17 columns
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CREATE TABLE jaibalaji (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jaicorpltd

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jaicorpltd
  • 280.08 KB
  • 5466 rows
  • 17 columns
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CREATE TABLE jaicorpltd (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" DOUBLE,
  "debt_to_equity_ratio" VARCHAR,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jainstudio

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jainstudio
  • 148.09 KB
  • 5461 rows
  • 17 columns
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CREATE TABLE jainstudio (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" VARCHAR,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jaipurkurt

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jaipurkurt
  • 59.98 KB
  • 1073 rows
  • 17 columns
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CREATE TABLE jaipurkurt (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jalan

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jalan
  • 52.14 KB
  • 1778 rows
  • 17 columns
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CREATE TABLE jalan (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" VARCHAR,
  "current_ratio" VARCHAR,
  "earning_per_share" VARCHAR,
  "variability_index" DOUBLE
);

Jamnaauto

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jamnaauto
  • 175.58 KB
  • 3342 rows
  • 17 columns
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CREATE TABLE jamnaauto (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" DOUBLE,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jash

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jash
  • 93.17 KB
  • 1658 rows
  • 17 columns
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CREATE TABLE jash (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" DOUBLE,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jayagrogn

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jayagrogn
  • 272.66 KB
  • 5465 rows
  • 17 columns
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CREATE TABLE jayagrogn (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" DOUBLE,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jaybarmaru

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jaybarmaru
  • 279.38 KB
  • 5466 rows
  • 17 columns
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CREATE TABLE jaybarmaru (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" DOUBLE,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jaynecoind

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jaynecoind
  • 184.21 KB
  • 5463 rows
  • 17 columns
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CREATE TABLE jaynecoind (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jaysreetea

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jaysreetea
  • 257.09 KB
  • 5463 rows
  • 17 columns
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CREATE TABLE jaysreetea (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jbchepharm

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jbchepharm
  • 292.21 KB
  • 5463 rows
  • 17 columns
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CREATE TABLE jbchepharm (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" DOUBLE,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jbma

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jbma
  • 253.68 KB
  • 4822 rows
  • 17 columns
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CREATE TABLE jbma (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" DOUBLE,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jchac

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jchac
  • 325.37 KB
  • 6377 rows
  • 17 columns
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CREATE TABLE jchac (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jetairways

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jetairways
  • 258.96 KB
  • 4763 rows
  • 17 columns
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CREATE TABLE jetairways (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" VARCHAR,
  "current_ratio" VARCHAR,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jetfreight

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jetfreight
  • 66.75 KB
  • 1802 rows
  • 17 columns
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CREATE TABLE jetfreight (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jgchem

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jgchem
  • 15.71 KB
  • 74 rows
  • 17 columns
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CREATE TABLE jgchem (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jhs

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jhs
  • 173.98 KB
  • 4361 rows
  • 17 columns
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CREATE TABLE jhs (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jindalphot

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jindalphot
  • 248.49 KB
  • 4745 rows
  • 17 columns
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CREATE TABLE jindalphot (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" VARCHAR,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" VARCHAR,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Jindalpoly

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.jindalpoly
  • 299.38 KB
  • 5462 rows
  • 17 columns
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CREATE TABLE jindalpoly (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT,
  "symbol" VARCHAR,
  "sector" VARCHAR,
  "industry" VARCHAR,
  "market" VARCHAR,
  "quotetype" VARCHAR,
  "dividend_yield" DOUBLE,
  "debt_to_equity_ratio" DOUBLE,
  "current_ratio" DOUBLE,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

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