Fetch most actively traded stocks in a month on NSE.
nse_stock_most_traded(clean_names = TRUE)
clean_names | Logical; if |
---|
A tibble with the following columns:
Name of the firm.
Share in total turnover (percentage).
Total traded quantity (in lakhs)
Number of trades.
Average daily turnover (in crores).
Turnover (in crores.)
# \donttest{ nse_stock_most_traded()#> security share_turnover traded_quantity #> 1 Tata Steel Limited 3.48 5045 #> 2 Adani Ports and Special Economic Zone Limited 3.22 5547 #> 3 Tata Motors Limited 2.61 11479 #> 4 HDFC Bank Limited 2.53 2359 #> 5 JSW Steel Limited 2.50 5392 #> 6 State Bank of India 2.42 9291 #> 7 Bajaj Finance Limited 2.42 651 #> 8 ICICI Bank Limited 2.36 5423 #> 9 Reliance Industries Limited 2.23 1510 #> 10 Axis Bank Limited 1.91 3726 #> 11 TOTAL of Top Ten securities 25.68 50423 #> 12 TOTAL 100.00 500847 #> no_of_trades avg_daily_turnonver turnover #> 1 6297239 2439.37 46347.95 #> 2 6740117 2254.63 42838.03 #> 3 6261597 1829.61 34762.50 #> 4 5137713 1770.64 33642.10 #> 5 5326300 1751.55 33279.37 #> 6 5946848 1696.45 32232.60 #> 7 4065851 1691.77 32143.68 #> 8 5594907 1652.91 31405.21 #> 9 4398258 1560.00 29640.06 #> 10 4429981 1340.99 25478.72 #> 11 54198811 17987.91 341770.24 #> 12 385038115 70036.15 1330686.78# retain original column names as returned by NSE nse_stock_most_traded(clean_names = FALSE)#> skipped sharetotal trdQty nooftrades #> 1 Tata Steel Limited 3.48 5045 6297239 #> 2 Adani Ports and Special Economic Zone Limited 3.22 5547 6740117 #> 3 Tata Motors Limited 2.61 11479 6261597 #> 4 HDFC Bank Limited 2.53 2359 5137713 #> 5 JSW Steel Limited 2.50 5392 5326300 #> 6 State Bank of India 2.42 9291 5946848 #> 7 Bajaj Finance Limited 2.42 651 4065851 #> 8 ICICI Bank Limited 2.36 5423 5594907 #> 9 Reliance Industries Limited 2.23 1510 4398258 #> 10 Axis Bank Limited 1.91 3726 4429981 #> 11 TOTAL of Top Ten securities 25.68 50423 54198811 #> 12 TOTAL 100.00 500847 385038115 #> avgdailyturn turnover #> 1 2439.37 46347.95 #> 2 2254.63 42838.03 #> 3 1829.61 34762.50 #> 4 1770.64 33642.10 #> 5 1751.55 33279.37 #> 6 1696.45 32232.60 #> 7 1691.77 32143.68 #> 8 1652.91 31405.21 #> 9 1560.00 29640.06 #> 10 1340.99 25478.72 #> 11 17987.91 341770.24 #> 12 70036.15 1330686.78# }