README

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tqk

Installation

# CRAN version NOT YET!!!
install.packages("tqk")

# Dev version
install.packages('tqk', repos = c(
                     'https://mrchypark.r-universe.dev',
                     'https://cloud.r-project.org'
                 ))

How to use

Stock code

code_get()

## # A tibble: 2,641 × 6 ## market name code name_full name_eng code_full ## <chr> <chr> <chr> <chr> <chr> <chr> ## 1 KOSDAQ 마이크로컨텍솔 098120 (주)마이크로컨텍솔루션 Micro Contact … KR709812… ## 2 KOSDAQ 스카이이앤엠 131100 (주)스카이이앤엠 SKY E&M Co., L… KR713110… ## 3 KOSDAQ 포스코엠텍 009520 (주)포스코엠텍 POSCO M-TECH C… KR700952… ## 4 KOSPI AJ네트웍스 095570 AJ네트웍스보통주 AJ Networks Co… KR709557… ## 5 KOSPI AK홀딩스 006840 AK홀딩스보통주 AK Holdings, I… KR700684… ## 6 KOSPI BGF리테일 282330 BGF리테일보통주 BGF Retail KR728233… ## 7 KOSPI BGF 027410 BGF보통주 BGF KR702741… ## 8 KOSPI BNK금융지주 138930 BNK금융지주보통주 BNK Financial … KR713893… ## 9 KOSPI BYC우 001465 BYC1우선주 BYC(1P) KR700146… ## 10 KOSPI BYC 001460 BYC보통주 BYC KR700146… ## # ℹ 2,631 more rows

code_get(fresh = TRUE)

## # A tibble: 2,746 × 6 ## market name code name_full name_eng code_full ## <chr> <chr> <chr> <chr> <chr> <chr> ## 1 KOSDAQ 마이크로컨텍솔 098120 (주)마이크로컨텍솔루션 Micro Contact … KR709812… ## 2 KOSDAQ 포스코엠텍 009520 (주)포스코엠텍 POSCO M-TECH C… KR700952… ## 3 KOSPI AJ네트웍스 095570 AJ네트웍스보통주 AJ Networks Co… KR709557… ## 4 KOSPI AK홀딩스 006840 AK홀딩스보통주 AK Holdings, I… KR700684… ## 5 KOSPI BGF리테일 282330 BGF리테일보통주 BGF Retail KR728233… ## 6 KOSPI BGF 027410 BGF보통주 BGF KR702741… ## 7 KOSPI BNK금융지주 138930 BNK금융지주보통주 BNK Financial … KR713893… ## 8 KOSPI BYC우 001465 BYC1우선주 BYC(1P) KR700146… ## 9 KOSPI BYC 001460 BYC보통주 BYC KR700146… ## 10 KOSPI CJ우 001045 CJ1우선주 CJ(1P) KR700104… ## # ℹ 2,736 more rows

Stock data

tqk_get() function provide stock data. First parameter named x is korean stock code like “005930” is samsung. Result of code_get() function has code column for x parameter on tqk_get() function.

code_get() %>% 
  dplyr::filter("삼성전자" == name) %>%
  dplyr::pull(code) %>% 
  tqk_get(from = "2018-05-01") -> ss
ss

## # A tibble: 1,313 × 6 ## date open high low close volume ## <date> <int> <int> <int> <int> <int> ## 1 2023-08-28 66800 67000 66500 66500 4010121 ## 2 2023-08-25 67100 67400 66900 67100 7032462 ## 3 2023-08-24 68300 68700 67900 68200 15044463 ## 4 2023-08-23 66700 67100 66400 67100 9549352 ## 5 2023-08-22 67200 67700 66300 66600 10500242 ## 6 2023-08-21 66600 67100 66300 66600 9720067 ## 7 2023-08-18 66000 66700 65800 66300 11745006 ## 8 2023-08-17 66300 66800 66000 66700 10778652 ## 9 2023-08-16 66700 67100 66300 67000 13174578 ## 10 2023-08-14 67500 67900 66900 67300 9352343 ## # ℹ 1,303 more rows

Built-in dataset

{tqk} has built-in dataset called SHANK that is data to 2017-09-07 with Samsung Elect, Hyundai Motor, Amore pacific, Naver, Kakao.

SHANK %>%
  dplyr::distinct(symbol)

SHANK

## # A tibble: 22,259 × 7 ## symbol date open high low close volume ## <chr> <date> <int> <int> <int> <int> <int> ## 1 SS 2017-09-07 2350000 2411000 2350000 2406000 193530 ## 2 SS 2017-09-06 2338000 2359000 2335000 2350000 216221 ## 3 SS 2017-09-05 2312000 2345000 2298000 2338000 234322 ## 4 SS 2017-09-04 2289000 2318000 2275000 2302000 158870 ## 5 SS 2017-09-01 2323000 2332000 2315000 2324000 212834 ## 6 SS 2017-08-31 2311000 2332000 2300000 2316000 220234 ## 7 SS 2017-08-30 2319000 2320000 2298000 2310000 150260 ## 8 SS 2017-08-29 2282000 2304000 2258000 2304000 252473 ## 9 SS 2017-08-28 2351000 2362000 2298000 2305000 199242 ## 10 SS 2017-08-25 2394000 2394000 2336000 2351000 224871 ## # ℹ 22,249 more rows

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.