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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

Indorama

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.indorama
  • 220.77 KB
  • 5432 rows
  • 17 columns
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CREATE TABLE indorama (
  "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
);

Indostar

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.indostar
  • 89.86 KB
  • 1509 rows
  • 17 columns
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CREATE TABLE indostar (
  "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
);

Indotech

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.indotech
  • 225.65 KB
  • 4511 rows
  • 17 columns
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CREATE TABLE indotech (
  "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
);

Indothai

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.indothai
  • 142.71 KB
  • 3120 rows
  • 17 columns
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CREATE TABLE indothai (
  "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
);

Indowind

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.indowind
  • 160.52 KB
  • 4138 rows
  • 17 columns
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CREATE TABLE indowind (
  "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
);

Indramedco

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.indramedco
  • 265.48 KB
  • 6809 rows
  • 17 columns
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CREATE TABLE indramedco (
  "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
);

Indswftlab

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

Indswftltd

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.indswftltd
  • 175.53 KB
  • 4865 rows
  • 17 columns
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CREATE TABLE indswftltd (
  "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
);

Indterrain

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.indterrain
  • 166.86 KB
  • 3280 rows
  • 17 columns
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CREATE TABLE indterrain (
  "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
);

Indusindbk

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.indusindbk
  • 301.43 KB
  • 5464 rows
  • 17 columns
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CREATE TABLE indusindbk (
  "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
);

Industower

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.industower
  • 159.27 KB
  • 2838 rows
  • 17 columns
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CREATE TABLE industower (
  "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
);

Infibeam

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.infibeam
  • 113.92 KB
  • 2036 rows
  • 17 columns
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CREATE TABLE infibeam (
  "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
);

Infobean

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.infobean
  • 91.35 KB
  • 1713 rows
  • 17 columns
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CREATE TABLE infobean (
  "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
);

Infomedia

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

Infy

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.infy
  • 414.01 KB
  • 7161 rows
  • 17 columns
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CREATE TABLE infy (
  "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
);

Ingerrand

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

Innovacap

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.innovacap
  • 18.25 KB
  • 124 rows
  • 17 columns
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CREATE TABLE innovacap (
  "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
);

Innovative

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.innovative
  • 56.59 KB
  • 1687 rows
  • 17 columns
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CREATE TABLE innovative (
  "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
);

Inoxgreen

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.inoxgreen
  • 32.17 KB
  • 396 rows
  • 17 columns
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CREATE TABLE inoxgreen (
  "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
);

Inoxindia

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.inoxindia
  • 18.74 KB
  • 129 rows
  • 17 columns
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CREATE TABLE inoxindia (
  "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
);

Inoxwind

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.inoxwind
  • 129.32 KB
  • 2279 rows
  • 17 columns
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CREATE TABLE inoxwind (
  "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
);

Insecticid

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.insecticid
  • 241.63 KB
  • 4215 rows
  • 17 columns
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CREATE TABLE insecticid (
  "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
);

Inspirisys

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.inspirisys
  • 178.52 KB
  • 4357 rows
  • 17 columns
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CREATE TABLE inspirisys (
  "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
);

Intellect

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.intellect
  • 144.26 KB
  • 2353 rows
  • 17 columns
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CREATE TABLE intellect (
  "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
);

Intentech

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.intentech
  • 96 KB
  • 1796 rows
  • 17 columns
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CREATE TABLE intentech (
  "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
);

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