Name: Nifty 50 Stocks Price Dataset
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

Adaniports

@kaggle.tadakasuryateja_nifty_50_stocks.adaniports

155.96 KB
3712 rows
10 columns


CREATE TABLE adaniports (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Adanipower

@kaggle.tadakasuryateja_nifty_50_stocks.adanipower

111.81 KB
3291 rows
10 columns


CREATE TABLE adanipower (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Asianpaint

@kaggle.tadakasuryateja_nifty_50_stocks.asianpaint

194.11 KB
4430 rows
10 columns


CREATE TABLE asianpaint (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Axisbank

@kaggle.tadakasuryateja_nifty_50_stocks.axisbank

189.95 KB
4432 rows
10 columns


CREATE TABLE axisbank (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Bajaj Auto

@kaggle.tadakasuryateja_nifty_50_stocks.bajaj_auto

161.22 KB
3592 rows
10 columns


CREATE TABLE bajaj_auto (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Bajfinance

@kaggle.tadakasuryateja_nifty_50_stocks.bajfinance

198.84 KB
4431 rows
10 columns


CREATE TABLE bajfinance (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Bharatras

@kaggle.tadakasuryateja_nifty_50_stocks.bharatras

157.27 KB
4079 rows
10 columns


CREATE TABLE bharatras (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Bhartiartl

@kaggle.tadakasuryateja_nifty_50_stocks.bhartiartl

184.17 KB
4432 rows
10 columns


CREATE TABLE bhartiartl (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Birlacorpn

@kaggle.tadakasuryateja_nifty_50_stocks.birlacorpn

180.92 KB
4432 rows
10 columns


CREATE TABLE birlacorpn (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Bpcl

@kaggle.tadakasuryateja_nifty_50_stocks.bpcl

189.85 KB
4432 rows
10 columns


CREATE TABLE bpcl (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Cipla

@kaggle.tadakasuryateja_nifty_50_stocks.cipla

184.46 KB
4432 rows
10 columns


CREATE TABLE cipla (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Coalindia

@kaggle.tadakasuryateja_nifty_50_stocks.coalindia

125.06 KB
2990 rows
10 columns


CREATE TABLE coalindia (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Drreddy

@kaggle.tadakasuryateja_nifty_50_stocks.drreddy

198.41 KB
4432 rows
10 columns


CREATE TABLE drreddy (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Eichermot

@kaggle.tadakasuryateja_nifty_50_stocks.eichermot

199.85 KB
4431 rows
10 columns


CREATE TABLE eichermot (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Gail

@kaggle.tadakasuryateja_nifty_50_stocks.gail

185.32 KB
4432 rows
10 columns


CREATE TABLE gail (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Grasim

@kaggle.tadakasuryateja_nifty_50_stocks.grasim

232.82 KB
4432 rows
10 columns


CREATE TABLE grasim (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Hcltech

@kaggle.tadakasuryateja_nifty_50_stocks.hcltech

190.27 KB
4432 rows
10 columns


CREATE TABLE hcltech (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Hdfc

@kaggle.tadakasuryateja_nifty_50_stocks.hdfc

193.4 KB
4432 rows
10 columns


CREATE TABLE hdfc (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Hdfcbank

@kaggle.tadakasuryateja_nifty_50_stocks.hdfcbank

192.3 KB
4432 rows
10 columns


CREATE TABLE hdfcbank (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Heromotoco

@kaggle.tadakasuryateja_nifty_50_stocks.heromotoco

193.1 KB
4432 rows
10 columns


CREATE TABLE heromotoco (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Ibulhsgfin

@kaggle.tadakasuryateja_nifty_50_stocks.ibulhsgfin

195.2 KB
4347 rows
10 columns


CREATE TABLE ibulhsgfin (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Icicibank

@kaggle.tadakasuryateja_nifty_50_stocks.icicibank

193.24 KB
4432 rows
10 columns


CREATE TABLE icicibank (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Indusindbk

@kaggle.tadakasuryateja_nifty_50_stocks.indusindbk

189.35 KB
4432 rows
10 columns


CREATE TABLE indusindbk (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Infy

@kaggle.tadakasuryateja_nifty_50_stocks.infy

202.88 KB
4432 rows
10 columns


CREATE TABLE infy (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Ioc

@kaggle.tadakasuryateja_nifty_50_stocks.ioc

191.3 KB
4432 rows
10 columns


CREATE TABLE ioc (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE,
  "n_2_high" DOUBLE,
  "n_3_low" DOUBLE,
  "n_4_close" DOUBLE,
  "n_5_adjusted_close" DOUBLE,
  "n_6_volume" BIGINT,
  "n_7_dividend_amount" DOUBLE,
  "n_8_split_coefficient" DOUBLE
);

Nifty 50 Stocks Price Dataset

About this Dataset