Name: Nifty Total Market Stocks, 1D, Max Price History
Creator: Kaggle
License: https://www.gnu.org/licenses/gpl.html

About this Dataset

Nifty Total Market Stocks, 1D, Max Price History

Aperçu

This dataset is a raw dump of the maximum recorded 1D price history of all 751 stocks listed under "Nifty Total Market", up until 2023-March-24. Sourced from Yahoo Finance. Original size of ~300 MB, compressed down to ~90 MB.

Motivation

The motivation originated out of the necessity of having as complete and reliable a database as possible of the NSE's widest official equity coverage. As of the time of this writing, many alternative datasets that are similar in nature have either been abandoned, not updated recently, or have unadjusted prices that do not align with publicly viewable charts. This data was sourced using adjusted OHLC values, such that it's as close to charted prices (within a personally satisfiable margin). The primary reason for publicising the dataset is to make future searches and personal access easier than if it were private.

Important Note

None of this data has been cleaned or has undergone deep verification. It has simply been pulled, randomly verified, archived, and uploaded (purely for personal convenience). This is directly related to the fact that the recommended contemporary Python equivalent for Yahoo Finance data retrieval removes rows that contain missing values. By extension, the Julia equivalent seeks to retain missing-values as NaN. As of the time of creation, Julia's package with the necessary change was undergoing pre-release testing and therefore unfortunately, this data had to be retrieved using Python's front. Whether this dataset will be updated in the near future or not remains to be decided.

Data Structure

symbol: the NSE ticker of the scrip the CSV belongs to. Is also the filename of the CSV (for example, "AXISBANK.NS"). This column repeats itself throughout the entirety of the CSV and hence, contains only one unique value across all ~5000 rows.
date: the recorded date of the economic observation, formatted as YYYY-MM-DD (for example, "1998-11-27"). Each row within this column contains unique values throughout the entirety of the CSV (i.e. all ~5000 rows are unique).
open: the opening transaction price of that scrip, for that day. Formatted as a float value (for example, 2.357349). Note that some scripts might have negative values due to adjustment artefacts.
high: the highest recorded transaction price of that scrip, for that day. Formatted as a float value (for example, 2.357349). Note that some scripts might have negative values due to adjustment artefacts.
low: the lowest recorded transaction price of that scrip, for that day. Formatted as a float value (for example, 1.799554). Note that some scripts might have negative values due to adjustment artefacts.
volume: the volume of shares that exchanged hands for that day. Formatted as an integer value (for example, 21000).
close: the last recorded transaction price of that scrip, for that day. Formatted as a float value (for example, 2.257743). Note that some scripts might have negative values due to adjustment artefacts.
dividends: any dividend paid out on that day that affect prices. Formatted as a float value (for example, 2.5). This column is mostly filled with zeroes.
splits: any stock splits that occurred on that day that affect prices. Formatted as an integer value (for example, 5). This column is mostly filled with zeroes.

Obligatory Acknowledgements

Appropriate recognition and appreciation goes to the National Stock Exchange of India and Yahoo Finance for their individual (and combined) efforts of economic and financial facilitation, proliferation, data collection, maintenance, management, and provision. Cover image credit.

All of this data is provided AS IS with no guarantee or warranty of any kind. The dataset is licensed under the GNU Affero General Public License.

Tables

Aartidrugs Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.aartidrugs_ns

252.92 kB
4,834 rows
9 columns

CREATE TABLE aartidrugs_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE,
  "splits" DOUBLE
);

Aavas Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.aavas_ns

48.98 kB
1,104 rows
7 columns

CREATE TABLE aavas_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE
);

Abb Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.abb_ns

274.78 kB
5,155 rows
9 columns

CREATE TABLE abb_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE,
  "splits" DOUBLE
);

Abbotindia Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.abbotindia_ns

192.97 kB
5,125 rows
8 columns

CREATE TABLE abbotindia_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE
);

Abcapital Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.abcapital_ns

54.06 kB
1,376 rows
7 columns

CREATE TABLE abcapital_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE
);

Abfrl Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.abfrl_ns

91.39 kB
2,389 rows
7 columns

CREATE TABLE abfrl_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE
);

Abslamc Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.abslamc_ns

23.67 kB
362 rows
8 columns

CREATE TABLE abslamc_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE,
  "dividends" DOUBLE
);

Accelya Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.accelya_ns

268.51 kB
5,152 rows
8 columns

CREATE TABLE accelya_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE
);

Acc Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.acc_ns

274.15 kB
5,152 rows
8 columns

CREATE TABLE acc_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE
);

Ace Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.ace_ns

211.1 kB
4,068 rows
9 columns

CREATE TABLE ace_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE,
  "splits" DOUBLE
);

Adanient Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.adanient_ns

276.84 kB
5,154 rows
9 columns

CREATE TABLE adanient_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE,
  "splits" DOUBLE
);

Adanigreen Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.adanigreen_ns

52.54 kB
1,179 rows
7 columns

CREATE TABLE adanigreen_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE
);

Adaniports Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.adaniports_ns

202.25 kB
3,778 rows
9 columns

CREATE TABLE adaniports_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE,
  "splits" DOUBLE
);

Adanitrans Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.adanitrans_ns

79.19 kB
1,889 rows
7 columns

CREATE TABLE adanitrans_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE
);

Advenzymes Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.advenzymes_ns

88.48 kB
1,644 rows
9 columns

CREATE TABLE advenzymes_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE,
  "dividends" DOUBLE,
  "splits" DOUBLE
);

Aegischem Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.aegischem_ns

269.93 kB
5,151 rows
9 columns

CREATE TABLE aegischem_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE,
  "splits" DOUBLE
);

Aether Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.aether_ns

13 kB
202 rows
7 columns

CREATE TABLE aether_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE
);

Affle Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.affle_ns

42.19 kB
899 rows
8 columns

CREATE TABLE affle_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE,
  "splits" DOUBLE
);

Agi Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.agi_ns

270.17 kB
5,155 rows
8 columns

CREATE TABLE agi_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE
);

Ahlucont Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.ahlucont_ns

171.04 kB
3,279 rows
8 columns

CREATE TABLE ahlucont_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE
);

Aiaeng Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.aiaeng_ns

227.68 kB
4,263 rows
9 columns

CREATE TABLE aiaeng_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE,
  "splits" DOUBLE
);

Ajantpharm Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.ajantpharm_ns

272.47 kB
5,152 rows
9 columns

CREATE TABLE ajantpharm_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE,
  "splits" DOUBLE
);

Akzoindia Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.akzoindia_ns

268.08 kB
5,152 rows
8 columns

CREATE TABLE akzoindia_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE
);

Alembicltd Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.alembicltd_ns

260.12 kB
5,158 rows
9 columns

CREATE TABLE alembicltd_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" DOUBLE,
  "close" DOUBLE,
  "dividends" DOUBLE,
  "splits" DOUBLE
);

Alkem Ns

@kaggle.rasi96_nifty_universe_750_stocks_1d_max_price_history.alkem_ns

95.86 kB
1,793 rows
8 columns

CREATE TABLE alkem_ns (
  "symbol" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "volume" BIGINT,
  "close" DOUBLE,
  "dividends" DOUBLE
);