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

About this Dataset

Nifty 50 India Stocks - Data For Last 10 Years

The Nifty 50 index of the National Stock Exchange of India consists of the top performing companies from multiple sectors including Banking, Technology, Infrastructure, Pharma etc. This data can be used for technical analysis to predict stock price behaviour and performance.
The data contains prices from a daily time-frame containing Open, High, Low and Closing (OHLC) prices these can be used to generate multiple indicators for further analysis.

Tables

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
);