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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

Praxis

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.praxis
  • 91.39 KB
  • 1582 rows
  • 17 columns
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CREATE TABLE praxis (
  "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
);

Precam

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.precam
  • 114.64 KB
  • 2073 rows
  • 17 columns
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CREATE TABLE precam (
  "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
);

Precot

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.precot
  • 221.88 KB
  • 4651 rows
  • 17 columns
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CREATE TABLE precot (
  "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
);

Precwire

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.precwire
  • 278.18 KB
  • 5463 rows
  • 17 columns
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CREATE TABLE precwire (
  "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
);

Premexpln

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.premexpln
  • 119.18 KB
  • 1985 rows
  • 17 columns
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CREATE TABLE premexpln (
  "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
);

Premier

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.premier
  • 203.09 KB
  • 5630 rows
  • 17 columns
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CREATE TABLE premier (
  "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
);

Premierpol

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.premierpol
  • 112.14 KB
  • 2924 rows
  • 17 columns
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CREATE TABLE premierpol (
  "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
);

Prestige

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.prestige
  • 188.82 KB
  • 3372 rows
  • 17 columns
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CREATE TABLE prestige (
  "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
);

Pricolltd

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.pricolltd
  • 258.31 KB
  • 5465 rows
  • 17 columns
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CREATE TABLE pricolltd (
  "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
);

Primesecu

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.primesecu
  • 221.21 KB
  • 5466 rows
  • 17 columns
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CREATE TABLE primesecu (
  "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
);

Princepipe

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.princepipe
  • 71.67 KB
  • 1117 rows
  • 17 columns
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CREATE TABLE princepipe (
  "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
);

Priti

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.priti
  • 59.16 KB
  • 1474 rows
  • 17 columns
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CREATE TABLE priti (
  "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
);

Pritikauto

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.pritikauto
  • 39.58 KB
  • 715 rows
  • 17 columns
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CREATE TABLE pritikauto (
  "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
);

Priviscl

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.priviscl
  • 135.01 KB
  • 2259 rows
  • 17 columns
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CREATE TABLE priviscl (
  "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
);

Prozoner

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.prozoner
  • 118.71 KB
  • 2907 rows
  • 17 columns
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CREATE TABLE prozoner (
  "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
);

Prsmjohnsn

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.prsmjohnsn
  • 248.14 KB
  • 5462 rows
  • 17 columns
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CREATE TABLE prsmjohnsn (
  "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
);

Prudent

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.prudent
  • 40.39 KB
  • 522 rows
  • 17 columns
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CREATE TABLE prudent (
  "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
);

Prudmouli

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.prudmouli
  • 16.97 KB
  • 127 rows
  • 17 columns
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CREATE TABLE prudmouli (
  "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
);

Psb

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.psb
  • 151.44 KB
  • 3329 rows
  • 17 columns
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CREATE TABLE psb (
  "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" VARCHAR,
  "earning_per_share" DOUBLE,
  "variability_index" DOUBLE
);

Pspproject

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.pspproject
  • 103.49 KB
  • 1752 rows
  • 17 columns
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CREATE TABLE pspproject (
  "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
);

Ptc

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.ptc
  • 229.74 KB
  • 5002 rows
  • 17 columns
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CREATE TABLE ptc (
  "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
);

Ptcil

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.ptcil
  • 25.89 KB
  • 260 rows
  • 17 columns
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CREATE TABLE ptcil (
  "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
);

Ptl

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.ptl
  • 186.2 KB
  • 4296 rows
  • 17 columns
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CREATE TABLE ptl (
  "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
);

Punjabchem

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.punjabchem
  • 222.75 KB
  • 4189 rows
  • 17 columns
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CREATE TABLE punjabchem (
  "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
);

Purva

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.purva
  • 202.04 KB
  • 4150 rows
  • 17 columns
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CREATE TABLE purva (
  "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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