A large amount of data fetched from 'iex.cloud' about almost 500 stocks. Each row represents a stock.
Examples
default_stock_data
#> # A tibble: 497 × 100
#> symbol company…¹ excha…² indus…³ website descr…⁴ ceo secur…⁵ sector prima…⁶
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <dbl>
#> 1 MMM 3M Co. NEW YO… "Offic… www.3m… "3M Co… Mich… 3M Co. Manag… 3841
#> 2 AOS A.O. Smi… NEW YO… "Heati… www.ao… "A. O.… Kevi… A.O. S… Manuf… 3630
#> 3 ABT Abbott L… NEW YO… "Pharm… www.ab… "Abbot… Robe… Abbott… Manuf… 2834
#> 4 ABBV Abbvie I… NEW YO… "Pharm… www.ab… "AbbVi… Rich… Abbvie… Manuf… 2834
#> 5 ABMD Abiomed … NASDAQ "Surgi… www.ab… "Abiom… Mich… Abiome… Manuf… 3841
#> 6 ACN Accentur… NEW YO… "Data … www.ac… "Accen… NA Accent… Infor… 7389
#> 7 ATVI Activisi… NASDAQ "Softw… www.ac… "Activ… Robe… Activi… Infor… 7372
#> 8 ADM Archer D… NEW YO… "Flour… www.ad… "ADM u… Juan… Archer… Manuf… 2041
#> 9 ADBE Adobe Inc NASDAQ "Softw… www.ad… "Adobe… Shan… Adobe … Infor… 7372
#> 10 ADP Automati… NASDAQ "Data … www.ad… "ADP i… Carl… Automa… Infor… 7374
#> # … with 487 more rows, 90 more variables: employees <dbl>, address <chr>,
#> # state <chr>, city <chr>, ZIP <chr>, country <chr>, phone <dbl>,
#> # capital_expenditures <dbl>, cash_change <dbl>, cash_flow <dbl>,
#> # cash_flow_financing <dbl>, changes_in_inventories <dbl>,
#> # changes_in_receivables <dbl>, currency <chr>, depreciation <dbl>,
#> # filing_type <chr>, fiscal_date <dbl>, net_borrowings <dbl>,
#> # net_income <dbl>, report_date <dbl>, total_investing_cash_flows <dbl>, …