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.
Health stats visible at Monitor.