Name: NIFTY-50 Stock Market Data (2000 - 2021)
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

NIFTY-50 Stock Market Data (2000 - 2021)

Context

Stock market data is widely analyzed for educational, business and personal interests.

Content

The data is the price history and trading volumes of the fifty stocks in the index NIFTY 50 from NSE (National Stock Exchange) India. All datasets are at a day-level with pricing and trading values split across .cvs files for each stock along with a metadata file with some macro-information about the stocks itself. The data spans from 1st January, 2000 to 30th April, 2021.

Update Frequency

Since new stock market data is generated and made available every day, in order to have the latest and most useful information, the dataset will be updated once a month.

Acknowledgements

NSE India: https://www.nseindia.com/
Thanks to NSE for providing all the data publicly.

Inspiration

Various machine learning techniques can be applied and explored to stock market data, especially for trading algorithms and learning time series models.

Tables

Itc

@kaggle.rohanrao_nifty50_stock_market_data.itc

375.83 KB
5306 rows
15 columns


CREATE TABLE itc (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Jswsteel

@kaggle.rohanrao_nifty50_stock_market_data.jswsteel

306.48 KB
3994 rows
15 columns


CREATE TABLE jswsteel (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" BIGINT,
  "n__deliverble" DOUBLE
);

Kotakbank

@kaggle.rohanrao_nifty50_stock_market_data.kotakbank

375.02 KB
4985 rows
15 columns


CREATE TABLE kotakbank (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Lt

@kaggle.rohanrao_nifty50_stock_market_data.lt

321.1 KB
4184 rows
15 columns


CREATE TABLE lt (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" BIGINT,
  "n__deliverble" DOUBLE
);

Maruti

@kaggle.rohanrao_nifty50_stock_market_data.maruti

354.1 KB
4427 rows
15 columns


CREATE TABLE maruti (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Mm

@kaggle.rohanrao_nifty50_stock_market_data.mm

394.94 KB
5306 rows
15 columns


CREATE TABLE mm (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Nestleind

@kaggle.rohanrao_nifty50_stock_market_data.nestleind

234.3 KB
2806 rows
15 columns


CREATE TABLE nestleind (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" BIGINT,
  "n__deliverble" DOUBLE
);

Nifty50 All

@kaggle.rohanrao_nifty50_stock_market_data.nifty50_all

11.44 MB
235192 rows
15 columns


CREATE TABLE nifty50_all (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Ntpc

@kaggle.rohanrao_nifty50_stock_market_data.ntpc

276.95 KB
4088 rows
15 columns


CREATE TABLE ntpc (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" BIGINT,
  "n__deliverble" DOUBLE
);

Ongc

@kaggle.rohanrao_nifty50_stock_market_data.ongc

386.45 KB
5306 rows
15 columns


CREATE TABLE ongc (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Powergrid

@kaggle.rohanrao_nifty50_stock_market_data.powergrid

232.23 KB
3359 rows
15 columns


CREATE TABLE powergrid (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" BIGINT,
  "n__deliverble" DOUBLE
);

Reliance

@kaggle.rohanrao_nifty50_stock_market_data.reliance

401.6 KB
5306 rows
15 columns


CREATE TABLE reliance (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Sbin

@kaggle.rohanrao_nifty50_stock_market_data.sbin

397.09 KB
5306 rows
15 columns


CREATE TABLE sbin (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Shreecem

@kaggle.rohanrao_nifty50_stock_market_data.shreecem

379.69 KB
4985 rows
15 columns


CREATE TABLE shreecem (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Stock Metadata

@kaggle.rohanrao_nifty50_stock_market_data.stock_metadata

5.94 KB
50 rows
5 columns


CREATE TABLE stock_metadata (
  "company_name" VARCHAR,
  "industry" VARCHAR,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "isin_code" VARCHAR
);

Sunpharma

@kaggle.rohanrao_nifty50_stock_market_data.sunpharma

382.31 KB
5306 rows
15 columns


CREATE TABLE sunpharma (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Tatamotors

@kaggle.rohanrao_nifty50_stock_market_data.tatamotors

393.85 KB
5306 rows
15 columns


CREATE TABLE tatamotors (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Tatasteel

@kaggle.rohanrao_nifty50_stock_market_data.tatasteel

387.94 KB
5306 rows
15 columns


CREATE TABLE tatasteel (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Tcs

@kaggle.rohanrao_nifty50_stock_market_data.tcs

325.6 KB
4139 rows
15 columns


CREATE TABLE tcs (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" BIGINT,
  "n__deliverble" DOUBLE
);

Techm

@kaggle.rohanrao_nifty50_stock_market_data.techm

289.32 KB
3635 rows
15 columns


CREATE TABLE techm (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" BIGINT,
  "n__deliverble" DOUBLE
);

Titan

@kaggle.rohanrao_nifty50_stock_market_data.titan

393.17 KB
5306 rows
15 columns


CREATE TABLE titan (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Ultracemco

@kaggle.rohanrao_nifty50_stock_market_data.ultracemco

328.51 KB
4140 rows
15 columns


CREATE TABLE ultracemco (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" BIGINT,
  "n__deliverble" DOUBLE
);

Upl

@kaggle.rohanrao_nifty50_stock_market_data.upl

324.26 KB
4287 rows
15 columns


CREATE TABLE upl (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Vedl

@kaggle.rohanrao_nifty50_stock_market_data.vedl

386.26 KB
5305 rows
15 columns


CREATE TABLE vedl (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);

Wipro

@kaggle.rohanrao_nifty50_stock_market_data.wipro

390.72 KB
5306 rows
15 columns


CREATE TABLE wipro (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "series" VARCHAR,
  "prev_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "last" DOUBLE,
  "close" DOUBLE,
  "vwap" DOUBLE,
  "volume" BIGINT,
  "turnover" DOUBLE,
  "trades" DOUBLE,
  "deliverable_volume" DOUBLE,
  "n__deliverble" DOUBLE
);