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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

Pnb

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

Pnbgilts

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

Pnbhousing

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.pnbhousing
  • 117.6 KB
  • 1891 rows
  • 17 columns
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CREATE TABLE pnbhousing (
  "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
);

Pnc

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

Pncinfra

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.pncinfra
  • 131.09 KB
  • 2248 rows
  • 17 columns
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CREATE TABLE pncinfra (
  "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
);

Pocl

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.pocl
  • 90.5 KB
  • 3388 rows
  • 17 columns
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CREATE TABLE pocl (
  "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
);

Poddarhous

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.poddarhous
  • 98.83 KB
  • 1784 rows
  • 17 columns
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CREATE TABLE poddarhous (
  "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
);

Poddarment

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.poddarment
  • 105.47 KB
  • 1880 rows
  • 17 columns
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CREATE TABLE poddarment (
  "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
);

Pokarna

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.pokarna
  • 117.22 KB
  • 1972 rows
  • 17 columns
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CREATE TABLE pokarna (
  "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
);

Policybzr

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.policybzr
  • 47.74 KB
  • 650 rows
  • 17 columns
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CREATE TABLE policybzr (
  "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
);

Polycab

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.polycab
  • 84.11 KB
  • 1287 rows
  • 17 columns
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CREATE TABLE polycab (
  "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
);

Polymed

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.polymed
  • 173.4 KB
  • 3099 rows
  • 17 columns
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CREATE TABLE polymed (
  "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
);

Polyplex

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

Ponnierode

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

Poonawalla

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.poonawalla
  • 257.37 KB
  • 4989 rows
  • 17 columns
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CREATE TABLE poonawalla (
  "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
);

Powergrid

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.powergrid
  • 214.73 KB
  • 4125 rows
  • 17 columns
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CREATE TABLE powergrid (
  "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
);

Powerindia

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.powerindia
  • 70.56 KB
  • 1054 rows
  • 17 columns
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CREATE TABLE powerindia (
  "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
);

Powermech

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.powermech
  • 129.61 KB
  • 2182 rows
  • 17 columns
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CREATE TABLE powermech (
  "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
);

Ppap

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.ppap
  • 205.55 KB
  • 4057 rows
  • 17 columns
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CREATE TABLE ppap (
  "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
);

Ppl

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.ppl
  • 75.76 KB
  • 1248 rows
  • 17 columns
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CREATE TABLE ppl (
  "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
);

Pplpharma

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.pplpharma
  • 34.33 KB
  • 419 rows
  • 17 columns
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CREATE TABLE pplpharma (
  "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
);

Praeng

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.praeng
  • 156.04 KB
  • 4312 rows
  • 17 columns
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CREATE TABLE praeng (
  "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
);

Prajind

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

Prakash

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

Prakashstl

@kaggle.toocool69_nse_stock_data_by_ticker_dataset_2.prakashstl
  • 128.34 KB
  • 3415 rows
  • 17 columns
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CREATE TABLE prakashstl (
  "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
);

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