NSE Stocks Data
The data is of National Stock Exchange of India for 2016 and 2017
@kaggle.minatverma_nse_stocks_data
The data is of National Stock Exchange of India for 2016 and 2017
@kaggle.minatverma_nse_stocks_data
The data is of National Stock Exchange of India.
The data is compiled to felicitate Machine Learning, without bothering much about Stock APIs.
The data is of National Stock Exchange of India's stock listings for each trading day of 2016 and 2017.
A brief description of columns.
SYMBOL: Symbol of the listed company.
SERIES: Series of the equity. Values are [EQ, BE, BL, BT, GC and IL]
OPEN: The opening market price of the equity symbol on the date.
HIGH: The highest market price of the equity symbol on the date.
LOW: The lowest recorded market price of the equity symbol on the date.
CLOSE: The closing recorded price of the equity symbol on the date.
LAST: The last traded price of the equity symbol on the date.
PREVCLOSE: The previous day closing price of the equity symbol on the date.
TOTTRDQTY: Total traded quantity of the equity symbol on the date.
TOTTRDVAL: Total traded volume of the equity symbol on the date.
TIMESTAMP: Date of record.
TOTALTRADES: Total trades executed on the day.
ISIN: International Securities Identification Number.
All data is fetched from NSE official site.
https://www.nseindia.com/
This dataset is compiled to felicitate Machine learning on Stocks.
CREATE TABLE final_from_df (
"symbol" VARCHAR,
"series" VARCHAR,
"open" DOUBLE,
"high" DOUBLE,
"low" DOUBLE,
"close" DOUBLE,
"last" DOUBLE,
"prevclose" DOUBLE,
"tottrdqty" BIGINT,
"tottrdval" DOUBLE,
"timestamp" TIMESTAMP,
"totaltrades" BIGINT,
"isin" VARCHAR
);Anyone who has the link will be able to view this.