About this dataset

India's National Stock Exchange (NSE) has a total market capitalization of more than US$3.4 trillion, making it the world's 10th-largest stock exchange as of August 2021, with a trading volume of ₹8,998,811 crore (US$1.2 trillion) and more 2000 total listings.

NSE's flagship index, the NIFTY 50, is a 50 stock index is used extensively by investors in India and around the world as a barometer of the Indian capital market.

This dataset contains data of all company stocks listed in the NSE, allowing anyone to analyze and make educated choices about their investments, while also contributing to their countries economy.

How to use this dataset

Create a time series regression model to predict NIFTY-50 value and/or stock prices.

Explore the most the returns, components and volatility of the stocks.
Identify high and low performance stocks among the list.

Highlighted Notebooks

Your kernel can be featured here!

Acknowledgements

License

CC0: Public Domain

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Stonks by unknown memer.

Tables

Indexes Df

@kaggle.andrewmvd_india_stock_market.indexes_df

2.46 KB
55 rows
2 columns


CREATE TABLE indexes_df (
  "s" VARCHAR,
  "mbol" VARCHAR
);

Nse Indexes

@kaggle.andrewmvd_india_stock_market.nse_indexes

2.69 MB
87536 rows
8 columns


CREATE TABLE nse_indexes (
  "date" TIMESTAMP,
  "index" VARCHAR,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "currency" VARCHAR
);

Stocks Df

@kaggle.andrewmvd_india_stock_market.stocks_df

69.42 MB
4094387 rows
8 columns


CREATE TABLE stocks_df (
  "date" TIMESTAMP,
  "stock" VARCHAR,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "volume" BIGINT,
  "change_pct" DOUBLE
);