Dataset: Bank Nifty Stock Price Prediction

About this Dataset

Bank Nifty Stock Price Prediction

Context

Banks under NIFTY:
AU Small Finance Bank Ltd.,FINANCIAL SERVICES,AUBANK,EQ,INE949L01017
Axis Bank Ltd.,FINANCIAL SERVICES,AXISBANK,EQ,INE238A01034
Bandhan Bank Ltd.,FINANCIAL SERVICES,BANDHANBNK,EQ,INE545U01014
Federal Bank Ltd.,FINANCIAL SERVICES,FEDERALBNK,EQ,INE171A01029
HDFC Bank Ltd.,FINANCIAL SERVICES,HDFCBANK,EQ,INE040A01034
ICICI Bank Ltd.,FINANCIAL SERVICES,ICICIBANK,EQ,INE090A01021
IDFC First Bank Ltd.,FINANCIAL SERVICES,IDFCFIRSTB,EQ,INE092T01019
IndusInd Bank Ltd.,FINANCIAL SERVICES,INDUSINDBK,EQ,INE095A01012
Kotak Mahindra Bank Ltd.,FINANCIAL SERVICES,KOTAKBANK,EQ,INE237A01028
Punjab National Bank,FINANCIAL SERVICES,PNB,EQ,INE160A01022
RBL Bank Ltd.,FINANCIAL SERVICES,RBLBANK,EQ,INE976G01028
State Bank of India,FINANCIAL SERVICES,SBIN,EQ,INE062A01020

For each of these, the attributes present in the dataset are:
Open: Price of the stock when the market opens on a trading day
Close: Price of the stock when the market closes on a trading day
High: The highest value of the stock during that trading day
Low: The lowest value of the stock during that trading day
Adjusted Close: Closing price to reflect stock value after accounting for any corporate actions
Volume: Amount of shares traded over a trading day

Tables

Aubank Ns

@kaggle.ridhijhamb_nifty_bank_stock_prices.aubank_ns

10.18 KB
122 rows
7 columns


CREATE TABLE aubank_ns (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Axisbank Ns

@kaggle.ridhijhamb_nifty_bank_stock_prices.axisbank_ns

10.07 KB
122 rows
7 columns


CREATE TABLE axisbank_ns (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Bandhanbnk Ns

@kaggle.ridhijhamb_nifty_bank_stock_prices.bandhanbnk_ns

10.08 KB
122 rows
7 columns


CREATE TABLE bandhanbnk_ns (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Federalbnk Ns

@kaggle.ridhijhamb_nifty_bank_stock_prices.federalbnk_ns

10.22 KB
122 rows
7 columns


CREATE TABLE federalbnk_ns (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Hdfc Ns

@kaggle.ridhijhamb_nifty_bank_stock_prices.hdfc_ns

10.56 KB
122 rows
7 columns


CREATE TABLE hdfc_ns (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Icicibank Ns

@kaggle.ridhijhamb_nifty_bank_stock_prices.icicibank_ns

10.09 KB
122 rows
7 columns


CREATE TABLE icicibank_ns (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Idfcfirstb Ns

@kaggle.ridhijhamb_nifty_bank_stock_prices.idfcfirstb_ns

10.01 KB
122 rows
7 columns


CREATE TABLE idfcfirstb_ns (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Indusindbk Ns

@kaggle.ridhijhamb_nifty_bank_stock_prices.indusindbk_ns

10.17 KB
122 rows
7 columns


CREATE TABLE indusindbk_ns (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Ind Niftybanklist

@kaggle.ridhijhamb_nifty_bank_stock_prices.ind_niftybanklist

4.34 KB
12 rows
5 columns


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

Kotakbank Ns

@kaggle.ridhijhamb_nifty_bank_stock_prices.kotakbank_ns

10.02 KB
122 rows
7 columns


CREATE TABLE kotakbank_ns (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Nsebank 1

@kaggle.ridhijhamb_nifty_bank_stock_prices.nsebank_1

9.5 KB
121 rows
7 columns


CREATE TABLE nsebank_1 (
  "date" VARCHAR,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Pnb Ns

@kaggle.ridhijhamb_nifty_bank_stock_prices.pnb_ns

9.66 KB
122 rows
7 columns


CREATE TABLE pnb_ns (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Rblbank Ns

@kaggle.ridhijhamb_nifty_bank_stock_prices.rblbank_ns

10.12 KB
122 rows
7 columns


CREATE TABLE rblbank_ns (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Sbin Ns

@kaggle.ridhijhamb_nifty_bank_stock_prices.sbin_ns

10.57 KB
122 rows
7 columns


CREATE TABLE sbin_ns (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);