Name: Nifty 50 India Stocks - Data For Last 10 Years
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

Adanient

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.adanient

137.36 kB
2,463 rows
7 columns

CREATE TABLE adanient (
  "date" VARCHAR,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Adaniports

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.adaniports

118.24 kB
2,463 rows
7 columns

CREATE TABLE adaniports (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Apollohosp

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.apollohosp

121.61 kB
2,463 rows
7 columns

CREATE TABLE apollohosp (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Asianpaint

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.asianpaint

125.07 kB
2,463 rows
7 columns

CREATE TABLE asianpaint (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Axisbank

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.axisbank

122.59 kB
2,463 rows
7 columns

CREATE TABLE axisbank (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Bajaj Auto

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.bajaj_auto

122.23 kB
2,463 rows
7 columns

CREATE TABLE bajaj_auto (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Bajajfinsv

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.bajajfinsv

129.46 kB
2,463 rows
7 columns

CREATE TABLE bajajfinsv (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Bajfinance

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.bajfinance

128.78 kB
2,463 rows
7 columns

CREATE TABLE bajfinance (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Bhartiartl

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.bhartiartl

119.61 kB
2,463 rows
7 columns

CREATE TABLE bhartiartl (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Bpcl

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.bpcl

122.76 kB
2,463 rows
7 columns

CREATE TABLE bpcl (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Britannia

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.britannia

124.58 kB
2,463 rows
7 columns

CREATE TABLE britannia (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Cipla

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.cipla

117.93 kB
2,463 rows
7 columns

CREATE TABLE cipla (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Coalindia

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.coalindia

114.86 kB
2,463 rows
7 columns

CREATE TABLE coalindia (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Divislab

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.divislab

125.52 kB
2,463 rows
7 columns

CREATE TABLE divislab (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Drreddy

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.drreddy

124.25 kB
2,463 rows
7 columns

CREATE TABLE drreddy (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Eichermot

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.eichermot

127.67 kB
2,463 rows
7 columns

CREATE TABLE eichermot (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Grasim

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.grasim

127.53 kB
2,463 rows
7 columns

CREATE TABLE grasim (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Hcltech

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.hcltech

121.36 kB
2,463 rows
7 columns

CREATE TABLE hcltech (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Hdfc

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.hdfc

104.68 kB
2,463 rows
7 columns

CREATE TABLE hdfc (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Hdfcbank

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.hdfcbank

124.28 kB
2,463 rows
7 columns

CREATE TABLE hdfcbank (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Hdfclife

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.hdfclife

60.34 kB
1,208 rows
7 columns

CREATE TABLE hdfclife (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Heromotoco

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.heromotoco

122.78 kB
2,463 rows
7 columns

CREATE TABLE heromotoco (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Hindalco

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.hindalco

115.82 kB
2,463 rows
7 columns

CREATE TABLE hindalco (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Hindunilvr

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.hindunilvr

123.52 kB
2,463 rows
7 columns

CREATE TABLE hindunilvr (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Icicibank

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.icicibank

127.09 kB
2,463 rows
7 columns

CREATE TABLE icicibank (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Indusindbk

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.indusindbk

122.91 kB
2,463 rows
7 columns

CREATE TABLE indusindbk (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Infy

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.infy

124.98 kB
2,463 rows
7 columns

CREATE TABLE infy (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Itc

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.itc

111.76 kB
2,463 rows
7 columns

CREATE TABLE itc (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Jswsteel

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.jswsteel

125.6 kB
2,463 rows
7 columns

CREATE TABLE jswsteel (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Kotakbank

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.kotakbank

123.59 kB
2,463 rows
7 columns

CREATE TABLE kotakbank (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Lt

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.lt

125.24 kB
2,463 rows
7 columns

CREATE TABLE lt (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

M And M

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.m_and_m

121 kB
2,463 rows
7 columns

CREATE TABLE m_and_m (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Maruti

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.maruti

125.8 kB
2,463 rows
7 columns

CREATE TABLE maruti (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Nestleind

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.nestleind

123.5 kB
2,463 rows
7 columns

CREATE TABLE nestleind (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Ntpc

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.ntpc

104.89 kB
2,463 rows
7 columns

CREATE TABLE ntpc (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Ongc

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.ongc

116.1 kB
2,463 rows
7 columns

CREATE TABLE ongc (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Powergrid

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.powergrid

109.56 kB
2,463 rows
7 columns

CREATE TABLE powergrid (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Reliance

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.reliance

128.06 kB
2,463 rows
7 columns

CREATE TABLE reliance (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Sbilife

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.sbilife

62.42 kB
1,240 rows
7 columns

CREATE TABLE sbilife (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Sbin

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.sbin

119.22 kB
2,463 rows
7 columns

CREATE TABLE sbin (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Sunpharma

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.sunpharma

103.22 kB
2,463 rows
7 columns

CREATE TABLE sunpharma (
  "date" VARCHAR,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Tataconsum

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.tataconsum

113.74 kB
2,463 rows
7 columns

CREATE TABLE tataconsum (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Tatamotors

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.tatamotors

124 kB
2,463 rows
7 columns

CREATE TABLE tatamotors (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Tatasteel

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.tatasteel

131.07 kB
2,463 rows
7 columns

CREATE TABLE tatasteel (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Tcs

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.tcs

123.46 kB
2,463 rows
7 columns

CREATE TABLE tcs (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Techm

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.techm

122.07 kB
2,463 rows
7 columns

CREATE TABLE techm (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Titan

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.titan

122.9 kB
2,463 rows
7 columns

CREATE TABLE titan (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Ultracemco

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.ultracemco

124.35 kB
2,463 rows
7 columns

CREATE TABLE ultracemco (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Upl

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.upl

126.26 kB
2,463 rows
7 columns

CREATE TABLE upl (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Wipro

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.wipro

118.49 kB
2,463 rows
7 columns

CREATE TABLE wipro (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Tables