Fetch most actively traded stocks in a month on NSE.

nse_stock_most_traded(clean_names = TRUE)

Arguments

clean_names

Logical; if TRUE, makes the column names descriptive and uses snake_case.

Value

A tibble with the following columns:

security

Name of the firm.

share_turnover

Share in total turnover (percentage).

traded_quantity

Total traded quantity (in lakhs)

no_of_trades

Number of trades.

avg_daily_turnover

Average daily turnover (in crores).

turnover

Turnover (in crores.)

Examples

# \donttest{ nse_stock_most_traded()
#> # A tibble: 12 x 6 #> security share_turnover traded_quantity no_of_trades avg_daily_turno~ #> <chr> <dbl> <dbl> <dbl> <dbl> #> 1 Yes Ban~ 4.38 57140 11058530 1423. #> 2 Relianc~ 3.93 1715 3803882 1276. #> 3 Indiabu~ 3.91 9077 8060572 1271. #> 4 State B~ 3.43 7114 4624946 1114. #> 5 Tata Co~ 2.69 866 2891204 875. #> 6 ICICI B~ 2.51 3204 2969145 814. #> 7 HDFC Li~ 2.33 670 2510572 756. #> 8 Tata St~ 2.26 3541 3008166 733. #> 9 HDFC Ba~ 2.18 1170 2969084 707. #> 10 Tata Mo~ 2.07 8128 3536571 671. #> 11 TOTAL o~ 29.7 92625 45432672 9640. #> 12 TOTAL 100 391115 223723721 32475. #> # ... with 1 more variable: turnover <dbl>
# retain original column names as returned by NSE nse_stock_most_traded(clean_names = FALSE)
#> # A tibble: 12 x 6 #> security sharetotal trdQty nooftrades avgdailyturn turnover #> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 Yes Bank Limited 4.38 57140 11058530 1423. 29880. #> 2 Reliance Industries Limit~ 3.93 1715 3803882 1276. 26799. #> 3 Indiabulls Hsg Fin Limited 3.91 9077 8060572 1271. 26683. #> 4 State Bank of India 3.43 7114 4624946 1114. 23391. #> 5 Tata Consultancy Services~ 2.69 866 2891204 875. 18367. #> 6 ICICI Bank Limited 2.51 3204 2969145 814. 17098. #> 7 HDFC Limited 2.33 670 2510572 756. 15868. #> 8 Tata Steel Limited 2.26 3541 3008166 733. 15396. #> 9 HDFC Bank Limited 2.18 1170 2969084 707. 14848. #> 10 Tata Motors Limited 2.07 8128 3536571 671. 14100. #> 11 TOTAL of Top Ten securiti~ 29.7 92625 45432672 9640. 202431. #> 12 TOTAL 100 391115 223723721 32475. 681983.
# }