Dataset: Nifty 50 India Stocks - Data For Last 10 Years

Adanient

@kaggle.ankitpalcode_nifty_50_india_stock_data_for_last_10_years.adanient

134.14 KB
2463 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

115.47 KB
2463 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

118.76 KB
2463 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

122.14 KB
2463 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

119.72 KB
2463 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

119.36 KB
2463 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

126.42 KB
2463 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

125.76 KB
2463 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

116.81 KB
2463 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

119.88 KB
2463 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

121.66 KB
2463 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

115.17 KB
2463 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

112.17 KB
2463 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

122.58 KB
2463 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

121.34 KB
2463 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

124.67 KB
2463 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

124.55 KB
2463 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

118.52 KB
2463 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

102.22 KB
2463 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

121.36 KB
2463 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

58.92 KB
1208 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

119.9 KB
2463 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

113.1 KB
2463 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

120.62 KB
2463 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

124.11 KB
2463 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

120.03 KB
2463 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

122.06 KB
2463 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

109.14 KB
2463 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

122.65 KB
2463 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

120.7 KB
2463 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

122.31 KB
2463 rows
7 columns


CREATE TABLE lt (
  "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

122.85 KB
2463 rows
7 columns


CREATE TABLE maruti (
  "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

118.17 KB
2463 rows
7 columns


CREATE TABLE m_and_m (
  "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

120.61 KB
2463 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

102.43 KB
2463 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

113.38 KB
2463 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

106.99 KB
2463 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

125.06 KB
2463 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

60.96 KB
1240 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

116.42 KB
2463 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

100.8 KB
2463 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

111.07 KB
2463 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

121.09 KB
2463 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

128 KB
2463 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

120.57 KB
2463 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

119.21 KB
2463 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

120.02 KB
2463 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

121.44 KB
2463 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

123.3 KB
2463 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

115.71 KB
2463 rows
7 columns


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

Tables