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

Adaniports

@kaggle.tadakasuryateja_nifty_50_stocks.adaniports

159.7 kB
3,712 rows
10 columns

CREATE TABLE adaniports (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Adanipower

@kaggle.tadakasuryateja_nifty_50_stocks.adanipower

114.5 kB
3,291 rows
10 columns

CREATE TABLE adanipower (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Asianpaint

@kaggle.tadakasuryateja_nifty_50_stocks.asianpaint

198.76 kB
4,430 rows
10 columns

CREATE TABLE asianpaint (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Axisbank

@kaggle.tadakasuryateja_nifty_50_stocks.axisbank

194.51 kB
4,432 rows
10 columns

CREATE TABLE axisbank (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Bajaj Auto

@kaggle.tadakasuryateja_nifty_50_stocks.bajaj_auto

165.09 kB
3,592 rows
10 columns

CREATE TABLE bajaj_auto (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Bajfinance

@kaggle.tadakasuryateja_nifty_50_stocks.bajfinance

203.61 kB
4,431 rows
10 columns

CREATE TABLE bajfinance (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Bharatras

@kaggle.tadakasuryateja_nifty_50_stocks.bharatras

161.05 kB
4,079 rows
10 columns

CREATE TABLE bharatras (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Bhartiartl

@kaggle.tadakasuryateja_nifty_50_stocks.bhartiartl

188.59 kB
4,432 rows
10 columns

CREATE TABLE bhartiartl (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Birlacorpn

@kaggle.tadakasuryateja_nifty_50_stocks.birlacorpn

185.26 kB
4,432 rows
10 columns

CREATE TABLE birlacorpn (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Bpcl

@kaggle.tadakasuryateja_nifty_50_stocks.bpcl

194.41 kB
4,432 rows
10 columns

CREATE TABLE bpcl (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Cipla

@kaggle.tadakasuryateja_nifty_50_stocks.cipla

188.89 kB
4,432 rows
10 columns

CREATE TABLE cipla (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Coalindia

@kaggle.tadakasuryateja_nifty_50_stocks.coalindia

128.07 kB
2,990 rows
10 columns

CREATE TABLE coalindia (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Drreddy

@kaggle.tadakasuryateja_nifty_50_stocks.drreddy

203.17 kB
4,432 rows
10 columns

CREATE TABLE drreddy (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Eichermot

@kaggle.tadakasuryateja_nifty_50_stocks.eichermot

204.65 kB
4,431 rows
10 columns

CREATE TABLE eichermot (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Gail

@kaggle.tadakasuryateja_nifty_50_stocks.gail

189.76 kB
4,432 rows
10 columns

CREATE TABLE gail (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Grasim

@kaggle.tadakasuryateja_nifty_50_stocks.grasim

238.41 kB
4,432 rows
10 columns

CREATE TABLE grasim (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Hcltech

@kaggle.tadakasuryateja_nifty_50_stocks.hcltech

194.83 kB
4,432 rows
10 columns

CREATE TABLE hcltech (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Hdfc

@kaggle.tadakasuryateja_nifty_50_stocks.hdfc

198.04 kB
4,432 rows
10 columns

CREATE TABLE hdfc (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Hdfcbank

@kaggle.tadakasuryateja_nifty_50_stocks.hdfcbank

196.92 kB
4,432 rows
10 columns

CREATE TABLE hdfcbank (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Heromotoco

@kaggle.tadakasuryateja_nifty_50_stocks.heromotoco

197.74 kB
4,432 rows
10 columns

CREATE TABLE heromotoco (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Ibulhsgfin

@kaggle.tadakasuryateja_nifty_50_stocks.ibulhsgfin

199.89 kB
4,347 rows
10 columns

CREATE TABLE ibulhsgfin (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Icicibank

@kaggle.tadakasuryateja_nifty_50_stocks.icicibank

197.87 kB
4,432 rows
10 columns

CREATE TABLE icicibank (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Indusindbk

@kaggle.tadakasuryateja_nifty_50_stocks.indusindbk

193.89 kB
4,432 rows
10 columns

CREATE TABLE indusindbk (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Infy

@kaggle.tadakasuryateja_nifty_50_stocks.infy

207.75 kB
4,432 rows
10 columns

CREATE TABLE infy (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Ioc

@kaggle.tadakasuryateja_nifty_50_stocks.ioc

195.89 kB
4,432 rows
10 columns

CREATE TABLE ioc (
  "date" TIMESTAMP,
  "stock_name" VARCHAR,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_adjusted_close" DOUBLE  -- 5. Adjusted Close,
  "n_6_volume" BIGINT  -- 6. Volume,
  "n_7_dividend_amount" DOUBLE  -- 7. Dividend Amount,
  "n_8_split_coefficient" DOUBLE  -- 8. Split Coefficient
);

Nifty 50 Stocks Price Dataset

About this Dataset