Name: NIFTY ALL STOCK Dataset
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

NIFTY ALL STOCK Dataset

Content

This dataset is a playground for technical analysis. It is said that 30% of traffic on stocks is already generated by machines, can trading be fully automated? If not, there is still a lot to learn from historical data. .

Context

https://www.kaggle.com/akshaypawar7/nifty-50-interactive-dashboard
Dataset consists of following files:

500 files of equity stock historical candle data
1_bhavcopy.csv =>
Daily prices of all NSE equity stocks . Most of data spans from 2020 to the end today, for companies new on stock market date range is shorter.
1_meta.csv =>
General description of each company with division on index and industry,
as shown in below chart.

Inspiration

Regardless of your investment strategy, fluctuations are expected in the financial market. Despite this variance, professional investors try to estimate their overall returns. Risks and returns differ based on investment types and other factors, which impact stability and volatility. To attempt to predict returns, there are many computer-based algorithms and models for financial market trading. Yet, with new techniques and approaches, data science could improve quantitative researchers' ability to forecast an investment's return.

Tables

Gsfc

@kaggle.akshaypawar7_nifty_dataset.gsfc

41.79 kB
525 rows
12 columns

CREATE TABLE gsfc (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Gspl

@kaggle.akshaypawar7_nifty_dataset.gspl

42.1 kB
525 rows
12 columns

CREATE TABLE gspl (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Gujalkali

@kaggle.akshaypawar7_nifty_dataset.gujalkali

42.23 kB
525 rows
12 columns

CREATE TABLE gujalkali (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Gujgasltd

@kaggle.akshaypawar7_nifty_dataset.gujgasltd

42.96 kB
525 rows
12 columns

CREATE TABLE gujgasltd (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hal

@kaggle.akshaypawar7_nifty_dataset.hal

42.96 kB
525 rows
12 columns

CREATE TABLE hal (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Happstmnds

@kaggle.akshaypawar7_nifty_dataset.happstmnds

31.03 kB
348 rows
12 columns

CREATE TABLE happstmnds (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hathway

@kaggle.akshaypawar7_nifty_dataset.hathway

37.77 kB
525 rows
12 columns

CREATE TABLE hathway (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hatsun

@kaggle.akshaypawar7_nifty_dataset.hatsun

42.16 kB
525 rows
12 columns

CREATE TABLE hatsun (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Havells

@kaggle.akshaypawar7_nifty_dataset.havells

43.46 kB
525 rows
12 columns

CREATE TABLE havells (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hcltech

@kaggle.akshaypawar7_nifty_dataset.hcltech

43.93 kB
525 rows
12 columns

CREATE TABLE hcltech (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hdfc

@kaggle.akshaypawar7_nifty_dataset.hdfc

44.42 kB
525 rows
12 columns

CREATE TABLE hdfc (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hdfcamc

@kaggle.akshaypawar7_nifty_dataset.hdfcamc

43.58 kB
525 rows
12 columns

CREATE TABLE hdfcamc (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hdfcbank

@kaggle.akshaypawar7_nifty_dataset.hdfcbank

44.04 kB
525 rows
12 columns

CREATE TABLE hdfcbank (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hdfclife

@kaggle.akshaypawar7_nifty_dataset.hdfclife

42.68 kB
525 rows
12 columns

CREATE TABLE hdfclife (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Heg

@kaggle.akshaypawar7_nifty_dataset.heg

43.62 kB
525 rows
12 columns

CREATE TABLE heg (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Heidelberg

@kaggle.akshaypawar7_nifty_dataset.heidelberg

41.41 kB
525 rows
12 columns

CREATE TABLE heidelberg (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hemiprop

@kaggle.akshaypawar7_nifty_dataset.hemiprop

28.2 kB
325 rows
12 columns

CREATE TABLE hemiprop (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Heromotoco

@kaggle.akshaypawar7_nifty_dataset.heromotoco

44.31 kB
525 rows
12 columns

CREATE TABLE heromotoco (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hfcl

@kaggle.akshaypawar7_nifty_dataset.hfcl

40.13 kB
525 rows
12 columns

CREATE TABLE hfcl (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hgs

@kaggle.akshaypawar7_nifty_dataset.hgs

41.3 kB
525 rows
12 columns

CREATE TABLE hgs (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hikal

@kaggle.akshaypawar7_nifty_dataset.hikal

42.52 kB
525 rows
12 columns

CREATE TABLE hikal (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hindalco

@kaggle.akshaypawar7_nifty_dataset.hindalco

44.14 kB
525 rows
12 columns

CREATE TABLE hindalco (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hindcopper

@kaggle.akshaypawar7_nifty_dataset.hindcopper

41.92 kB
525 rows
12 columns

CREATE TABLE hindcopper (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hindpetro

@kaggle.akshaypawar7_nifty_dataset.hindpetro

42.84 kB
525 rows
12 columns

CREATE TABLE hindpetro (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);

Hindunilvr

@kaggle.akshaypawar7_nifty_dataset.hindunilvr

43.76 kB
525 rows
12 columns

CREATE TABLE hindunilvr (
  "date" TIMESTAMP,
  "symbol" VARCHAR,
  "pre_close" DOUBLE,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "turnover_lacs" DOUBLE,
  "no_of_trades" BIGINT,
  "deliv_volume" DOUBLE,
  "deliv" DOUBLE  -- Deliv %
);