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

Aartidrugs

@kaggle.akshaypawar7_nifty_dataset.aartidrugs

42.86 kB
525 rows
12 columns

CREATE TABLE aartidrugs (
  "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 %
);

Aartiind

@kaggle.akshaypawar7_nifty_dataset.aartiind

42.86 kB
525 rows
12 columns

CREATE TABLE aartiind (
  "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 %
);

Aavas

@kaggle.akshaypawar7_nifty_dataset.aavas

43.23 kB
525 rows
12 columns

CREATE TABLE aavas (
  "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 %
);

Abb

@kaggle.akshaypawar7_nifty_dataset.abb

43.01 kB
525 rows
12 columns

CREATE TABLE abb (
  "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 %
);

Abbotindia

@kaggle.akshaypawar7_nifty_dataset.abbotindia

43.8 kB
525 rows
12 columns

CREATE TABLE abbotindia (
  "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 %
);

Abcapital

@kaggle.akshaypawar7_nifty_dataset.abcapital

42.05 kB
525 rows
12 columns

CREATE TABLE abcapital (
  "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 %
);

Abfrl

@kaggle.akshaypawar7_nifty_dataset.abfrl

42.9 kB
525 rows
12 columns

CREATE TABLE abfrl (
  "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 %
);

Acc

@kaggle.akshaypawar7_nifty_dataset.acc

43.94 kB
525 rows
12 columns

CREATE TABLE acc (
  "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 %
);

Adanient

@kaggle.akshaypawar7_nifty_dataset.adanient

44.36 kB
525 rows
12 columns

CREATE TABLE adanient (
  "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 %
);

Adanigreen

@kaggle.akshaypawar7_nifty_dataset.adanigreen

43 kB
525 rows
12 columns

CREATE TABLE adanigreen (
  "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 %
);

Adaniports

@kaggle.akshaypawar7_nifty_dataset.adaniports

43.54 kB
525 rows
12 columns

CREATE TABLE adaniports (
  "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 %
);

Adanitrans

@kaggle.akshaypawar7_nifty_dataset.adanitrans

41.5 kB
525 rows
12 columns

CREATE TABLE adanitrans (
  "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 %
);

Advenzymes

@kaggle.akshaypawar7_nifty_dataset.advenzymes

42.26 kB
525 rows
12 columns

CREATE TABLE advenzymes (
  "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 %
);

Aegischem

@kaggle.akshaypawar7_nifty_dataset.aegischem

42.1 kB
525 rows
12 columns

CREATE TABLE aegischem (
  "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 %
);

Affle

@kaggle.akshaypawar7_nifty_dataset.affle

42.48 kB
525 rows
12 columns

CREATE TABLE affle (
  "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 %
);

Aiaeng

@kaggle.akshaypawar7_nifty_dataset.aiaeng

41.82 kB
525 rows
12 columns

CREATE TABLE aiaeng (
  "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 %
);

Ajantpharm

@kaggle.akshaypawar7_nifty_dataset.ajantpharm

42.92 kB
525 rows
12 columns

CREATE TABLE ajantpharm (
  "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 %
);

Alembicltd

@kaggle.akshaypawar7_nifty_dataset.alembicltd

40.79 kB
525 rows
12 columns

CREATE TABLE alembicltd (
  "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 %
);

Alkem

@kaggle.akshaypawar7_nifty_dataset.alkem

43.7 kB
525 rows
12 columns

CREATE TABLE alkem (
  "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 %
);

Alkylamine

@kaggle.akshaypawar7_nifty_dataset.alkylamine

43.9 kB
525 rows
12 columns

CREATE TABLE alkylamine (
  "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 %
);

Alokinds

@kaggle.akshaypawar7_nifty_dataset.alokinds

36.51 kB
490 rows
12 columns

CREATE TABLE alokinds (
  "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 %
);

Amarajabat

@kaggle.akshaypawar7_nifty_dataset.amarajabat

42.91 kB
525 rows
12 columns

CREATE TABLE amarajabat (
  "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 %
);

Amber

@kaggle.akshaypawar7_nifty_dataset.amber

43.52 kB
525 rows
12 columns

CREATE TABLE amber (
  "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 %
);

Ambujacem

@kaggle.akshaypawar7_nifty_dataset.ambujacem

43.42 kB
525 rows
12 columns

CREATE TABLE ambujacem (
  "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 %
);

Angelone

@kaggle.akshaypawar7_nifty_dataset.angelone

13.17 kB
65 rows
12 columns

CREATE TABLE angelone (
  "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 %
);