From b71eab9624403be6d81c08a7818c2baddefaaec5 Mon Sep 17 00:00:00 2001 From: hyunyulhenry Date: Wed, 23 Dec 2020 06:05:55 +0000 Subject: [PATCH] =?UTF-8?q?2=EC=87=84=20=EC=88=98=EC=A0=95?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- 11-portfolio.Rmd | 2 +- CORPCODE.xml | 1172 +-- .../figure-html/unnamed-chunk-11-1.png | Bin 63577 -> 63798 bytes .../figure-html/unnamed-chunk-5-1.png | Bin 52532 -> 52677 bytes .../figure-html/unnamed-chunk-39-1.png | Bin 36350 -> 36486 bytes .../figure-html/unnamed-chunk-40-1.png | Bin 35265 -> 35305 bytes .../figure-html/unnamed-chunk-45-1.png | Bin 18376 -> 18371 bytes .../figure-html/unnamed-chunk-29-1.png | Bin 14195 -> 14219 bytes .../figure-html/unnamed-chunk-3-1.png | Bin 40363 -> 40322 bytes .../figure-html/unnamed-chunk-13-1.png | Bin 113742 -> 113871 bytes .../figure-html/unnamed-chunk-14-1.png | Bin 27909 -> 28148 bytes .../figure-html/unnamed-chunk-19-1.png | Bin 49430 -> 48980 bytes .../figure-html/unnamed-chunk-20-1.png | Bin 125869 -> 137222 bytes .../figure-html/unnamed-chunk-21-1.png | Bin 69883 -> 69830 bytes .../figure-html/unnamed-chunk-23-1.png | Bin 124012 -> 123257 bytes .../figure-html/unnamed-chunk-7-1.png | Bin 138022 -> 138469 bytes .../figure-html/unnamed-chunk-8-1.png | Bin 21164 -> 21118 bytes data/corp_list.csv | 5291 ++++++------- data/data_global.csv | 6655 +++++++++-------- data/global_data.sv | 3517 --------- docs/03-api.md | 10 +- docs/04-crawling.md | 106 +- docs/05-crawling_practice.md | 16 +- docs/06-crawling_actual.md | 117 +- docs/08-data_analysis.md | 12 +- docs/11-portfolio.md | 38 +- docs/12-backtest.md | 2 +- docs/index.html | 4 +- docs/index.md | 2 +- docs/search_index.json | 2 +- 30 files changed, 6982 insertions(+), 9964 deletions(-) delete mode 100644 data/global_data.sv diff --git a/11-portfolio.Rmd b/11-portfolio.Rmd index 6f2cf132..ac400ba9 100644 --- a/11-portfolio.Rmd +++ b/11-portfolio.Rmd @@ -35,7 +35,7 @@ rets = Return.calculate(prices) %>% na.omit() ``` ```{r echo = FALSE} -write.csv(rets, 'data/global_data.sv') +write.csv(data.frame(rets), 'data/data_global.csv') ``` `getSymbols()` 함수를 통해 일반적으로 자산배분에서 많이 사용되는 주식과 채권, 대체자산에 해당하는 ETF 가격 데이터를 받은 후 `lapply()`와 `Ad()`, `get()` 함수의 조합을 통해 수정주가만을 선택하고 열의 형태로 묶어줍니다. 그 후 `Return.calculate()` 함수를 통해 수익률을 계산합니다. diff --git a/CORPCODE.xml b/CORPCODE.xml index e85661bc..40aa7bfe 100644 --- a/CORPCODE.xml +++ b/CORPCODE.xml @@ -217392,12 +217392,6 @@ 20180327 - - 01290734 - 엠엔비프로덕션 - - 20180420 - 01290770 이데아게임즈 @@ -239322,12 +239316,6 @@ 20181107 - - 01344372 - 엔브이씨파트너스 - - 20181220 - 01208089 케이오산제일차 @@ -273294,12 +273282,6 @@ 20191114 - - 01023822 - 메디젠휴먼케어 - 236340 - 20191128 - 00540182 자이에스텍 @@ -275070,12 +275052,6 @@ 042670 20200108 - - 00130772 - SBS - 034120 - 20200109 - 00174518 에스비아이저축은행 @@ -276444,12 +276420,6 @@ 20191112 - - 01417492 - 에브넷코리아 - - 20191112 - 01417979 광양에너지 @@ -278916,12 +278886,6 @@ 036460 20200109 - - 00105138 - 파라텍 - 033540 - 20200117 - 01395491 라이너즈파트너스 @@ -279504,12 +279468,6 @@ 20190919 - - 00464785 - 서영물류 - - 20190919 - 01408023 지앤코퍼레이션 @@ -282954,12 +282912,6 @@ 20191122 - - 00153524 - 태림포장 - 011280 - 20200106 - 01392759 디비퍼스트제육차 @@ -283464,12 +283416,6 @@ 20190902 - - 00908951 - 인성에이앤티 - - 20191217 - 01422865 뉴하이아산탕정테크노 @@ -283548,12 +283494,6 @@ 20190828 - - 01308194 - 시큐레이어 - - 20190828 - 01400951 태한 @@ -285264,12 +285204,6 @@ 20200224 - - 00494218 - 엘엠에스 - 073110 - 20200224 - 00488174 한국쿄와기린 @@ -291564,12 +291498,6 @@ 20200219 - - 00131939 - 선도전기 - 007610 - 20200219 - 01408971 케이앤엘개발 @@ -297660,18 +297588,6 @@ 20200224 - - 00180227 - 참존 - - 20200224 - - - 01095801 - 신성미네랄 - - 20200224 - 00913908 광주건설 @@ -307260,12 +307176,6 @@ 20200225 - - 01181515 - 엘앤씨바이오 - 290650 - 20200225 - 00659930 희앤썬 @@ -315948,12 +315858,6 @@ 20200225 - - 00832700 - 에이펙스인텍 - 207490 - 20200225 - 01315042 씨유박스 @@ -326268,12 +326172,6 @@ 20200225 - - 00231363 - LG유플러스 - 032640 - 20200225 - 01285848 영일산업 @@ -336246,12 +336144,6 @@ 20200226 - - 01261918 - 계영자산 - - 20200226 - 00484318 영림테크 @@ -343584,12 +343476,6 @@ 20200226 - - 00222408 - 신안캐피탈 - - 20200226 - 00135652 신고려관광 @@ -346920,12 +346806,6 @@ 20200226 - - 00309831 - 알에프텍 - 061040 - 20200226 - 00820699 세강엠텍 @@ -347646,12 +347526,6 @@ 20200210 - - 00533641 - 린텍어드벤스테크놀로지코리아 - - 20200210 - 01295368 세미텍 @@ -348054,12 +347928,6 @@ 20200226 - - 00237039 - 귀뚜라미랜드 - - 20200226 - 00484530 천일페인트 @@ -371442,12 +371310,6 @@ 20200227 - - 00466428 - 아미노로직스 - 074430 - 20200227 - 01332155 양천스포츠센타 @@ -372828,12 +372690,6 @@ 20200227 - - 00968661 - 엠에스뉴브 - - 20200227 - 00526182 대건씨엔디 @@ -373608,12 +373464,6 @@ 20200228 - - 00537559 - 케이알투자증권 - - 20200228 - 00937157 케이에이치산업개발 @@ -377736,12 +377586,6 @@ 20200227 - - 01405451 - 알체라 - - 20200227 - 01085752 골드앤드실버 @@ -390450,12 +390294,6 @@ 20200512 - - 00164779 - SK하이닉스 - 000660 - 20200512 - 00256061 성호철관 @@ -391752,12 +391590,6 @@ 049960 20200417 - - 00164672 - 한일현대시멘트 - 006390 - 20200417 - 01455368 보스톤금거래소 @@ -393858,12 +393690,6 @@ 20200512 - - 00137997 - 현대차증권 - 001500 - 20200512 - 01477591 유더블유제십이차유동화전문유한회사 @@ -395016,12 +394842,6 @@ 20200429 - - 01228825 - 씨엠엔텍 - - 20200429 - 01461378 홍현 @@ -402324,12 +402144,6 @@ 20200414 - - 00571410 - 케이지에듀원 - - 20200414 - 00495785 한국미쓰도요 @@ -404310,12 +404124,6 @@ 20200512 - - 00164478 - 현대건설 - 000720 - 20200512 - 00827559 화성지엔아이 @@ -410286,12 +410094,6 @@ 20200513 - - 00245472 - 티씨케이 - 064760 - 20200513 - 01473364 에스제이건설 @@ -412014,12 +411816,6 @@ 20200318 - - 01240128 - 드림파크개발 - - 20200318 - 01231078 송도에이투피에프브이 @@ -413076,12 +412872,6 @@ 20200513 - - 01437742 - 신흥개발 - - 20200513 - 01471968 베스트스탭 @@ -419856,12 +419646,6 @@ 20200422 - - 01443497 - 준성하이테크 - - 20200422 - 01441930 메리골드제육차 @@ -421506,12 +421290,6 @@ 20200506 - - 01468751 - 테일러메이드코리아 - - 20200507 - 00656021 데일리블록체인 @@ -422412,12 +422190,6 @@ 20200512 - - 00638238 - 할리스에프앤비 - - 20200512 - 01140998 엠앤케이홀딩스 @@ -422526,12 +422298,6 @@ 20200227 - - 01286883 - 세일펫 - - 20200227 - 01154812 거양산업개발 @@ -428010,12 +427776,6 @@ 20200513 - - 01003031 - 이마트24 - - 20200513 - 01470589 한국보험금융 @@ -429906,12 +429666,6 @@ 20200424 - - 01452325 - 보담피앤피 - - 20200424 - 00596109 엔트리브소프트 @@ -431034,12 +430788,6 @@ 20200529 - - 00542001 - 토요타파이낸셜서비스코리아 - - 20200529 - 01480647 슈퍼코믹스스튜디오 @@ -431742,12 +431490,6 @@ 20200409 - - 00164645 - HMM - 011200 - 20200414 - 01227446 카카오인베스트먼트 @@ -432300,12 +432042,6 @@ 20200529 - - 00260541 - 한국교세라정공 - - 20200529 - 01180349 뉴정일 @@ -433734,12 +433470,6 @@ 20200529 - - 00684273 - 교세라한국 - - 20200529 - 00917436 에더트로닉스코리아 @@ -434244,12 +433974,6 @@ 20200511 - - 00491983 - 대우로지스틱스 - - 20200511 - 01471153 인스텍 @@ -434652,12 +434376,6 @@ 20200525 - - 00115676 - KG동부제철 - 016380 - 20200525 - 00860341 메가슈플렉스에스마켓코리아 @@ -444414,12 +444132,6 @@ 20200528 - - 00255114 - 리치몬트코리아 - - 20200528 - 00147019 케이비인베스트먼트 @@ -453012,12 +452724,6 @@ 20201013 - - 00925587 - 위드텍 - 348350 - 20201030 - 01514865 시은제7차 @@ -454128,12 +453834,6 @@ 20200910 - - 01497160 - 철도운전기술 - - 20200910 - 01496286 비상테크놀러지 @@ -454602,12 +454302,6 @@ 20201210 - - 01201970 - 클리노믹스 - 352770 - 20201210 - 00125965 삼본전자 @@ -455796,12 +455490,6 @@ 20201216 - - 01517394 - 금성풍력 - - 20201216 - 00367604 SM Life Design @@ -458214,12 +457902,6 @@ 20200622 - - 00138312 - 프랭클린템플턴투자신탁운용 - - 20200702 - 01488108 비아이티리치제일차 @@ -458622,12 +458304,6 @@ 20200626 - - 01184594 - 마스턴제14호위탁관리부동산투자회사 - - 20200626 - 00253028 삼익유가공 @@ -461460,12 +461136,6 @@ 20200703 - - 01407158 - 신한제6호스팩 - 333050 - 20200706 - 01027916 동화 @@ -462144,6 +461814,72 @@ 330590 20201218 + + 00245472 + 티씨케이 + 064760 + 20201221 + + + 00352718 + 소리바다 + 053110 + 20201221 + + + 00785475 + 피앤이솔루션 + 131390 + 20201221 + + + 01505186 + 엔에이치스팩18호 + 365590 + 20201221 + + + 01405451 + 알체라 + 347860 + 20201221 + + + 00164779 + SK하이닉스 + 000660 + 20201221 + + + 00137997 + 현대차증권 + 001500 + 20201221 + + + 01518241 + 한컴인텔리전스 + + 20201221 + + + 01417492 + 에브넷코리아 + + 20201221 + + + 00533641 + 린텍어드벤스테크놀로지코리아 + + 20201221 + + + 01518278 + 지아이비에스제육차 + + 20201221 + 01502116 케이비차차차제삼차 @@ -463050,6 +462786,12 @@ 20200917 + + 01518348 + 아이리텍 + + 20201221 + 01506334 니트로스튜디오 @@ -463806,12 +463548,6 @@ 20201020 - - 00145792 - 인성 - - 20201020 - 01506723 삼덕로지스틱스 @@ -465042,12 +464778,6 @@ 20200828 - - 00155276 - 포스코케미칼 - 003670 - 20200828 - 01432093 알티미디어 @@ -466782,12 +466512,6 @@ 011320 20200901 - - 00785475 - 피앤이솔루션 - 131390 - 20200901 - 01494455 에스에프로키제구차 @@ -467047,16 +466771,22 @@ 20201204 - 00352718 - 소리바다 - 053110 - 20201204 + 00494218 + 엘엠에스 + 073110 + 20201222 - 00182836 - 신진엠텍 + 01437742 + 신흥개발 - 20200807 + 20201222 + + + 00164672 + 한일현대시멘트 + 006390 + 20201222 01489754 @@ -469020,12 +468750,6 @@ 047400 20201208 - - 00157991 - 한국석유공업 - 004090 - 20201208 - 01491607 오에스피 @@ -469308,12 +469032,6 @@ 20200602 - - 01182435 - 코람코가치부가형리테일제2호위탁관리자부동산투자회사 - - 20200602 - 00157247 한국소니전자 @@ -471150,12 +470868,6 @@ 006340 20201214 - - 00249502 - 더블유에프엠 - 035290 - 20201214 - 00774327 제이디씨예래리조트 @@ -471210,6 +470922,36 @@ 20201214 + + 00348724 + 노드슨코리아 + + 20201221 + + + 00925587 + 위드텍 + 348350 + 20201222 + + + 00112332 + 미래에셋생명 + 085620 + 20201222 + + + 00182836 + 신진엠텍 + + 20201222 + + + 00260541 + 한국교세라정공 + + 20201222 + 00192897 미진주택건설 @@ -471378,12 +471120,6 @@ 002810 20201130 - - 00235147 - 에스모 - 073070 - 20201130 - 00363769 한국전자금융 @@ -471708,12 +471444,6 @@ 20201130 - - 01137295 - 프리시젼바이오 - - 20201130 - 00523750 인천종합에너지 @@ -472620,12 +472350,6 @@ 091090 20201202 - - 00173078 - 명신산업　　　　　 - 009900 - 20201207 - 00458562 에이티세미콘 @@ -472926,12 +472650,6 @@ 20201207 - - 00370006 - iMBC - 052220 - 20201207 - 00112819 데코앤이 @@ -474114,6 +473832,30 @@ 326030 20201204 + + 01182435 + 코람코가치부가형리테일제2호위탁관리자부동산투자회사 + + 20201222 + + + 01278200 + 코람코가치부가형리테일제3호위탁관리자부동산투자회사 + + 20201222 + + + 01278255 + 코람코가치부가형리테일제4호위탁관리자부동산투자회사 + + 20201222 + + + 00121242 + 명화공업 + + 20201222 + 01493562 청림엔지니어링 @@ -475320,6 +475062,30 @@ 052020 20201030 + + 00164478 + 현대건설 + 000720 + 20201222 + + + 01137295 + 프리시젼바이오 + 335810 + 20201222 + + + 00173078 + 명신산업 + 009900 + 20201222 + + + 00157991 + 한국석유공업 + 004090 + 20201222 + 00588313 삼신다이아몬드 @@ -478206,6 +477972,66 @@ 20201218 + + 00555874 + 제주항공 + 089590 + 20201222 + + + 01518375 + 가브리엘제일차 + + 20201222 + + + 01518393 + 가브리엘제이차 + + 20201222 + + + 01518409 + 가브리엘제삼차 + + 20201222 + + + 00141051 + 농협케미컬 + + 20201222 + + + 00832700 + 에이펙스인텍 + 207490 + 20201222 + + + 00115676 + KG동부제철 + 016380 + 20201222 + + + 01518560 + 마스터학익제삼차 + + 20201222 + + + 01518597 + 더블리치제일차 + + 20201222 + + + 01518603 + 더블리치제삼차 + + 20201222 + 00443445 지에프퍼멘텍 @@ -479130,18 +478956,6 @@ 20200602 - - 01278200 - 코람코가치부가형리테일제3호위탁관리자부동산투자회사 - - 20200602 - - - 01278255 - 코람코가치부가형리테일제4호위탁관리자부동산투자회사 - - 20200602 - 01389630 아이엠프라임 @@ -481500,12 +481314,6 @@ 199820 20201126 - - 00825959 - 하이비젼시스템 - 126700 - 20201126 - 00203856 제이에이치레전드호텔 @@ -483816,12 +483624,6 @@ 20200731 - - 00299358 - 해덕파워웨이 - 102210 - 20200731 - 00303217 우진플라임 @@ -484422,12 +484224,6 @@ 20200617 - - 01486517 - 네이버제트 - - 20200617 - 00155258 포스코강판 @@ -486906,12 +486702,6 @@ 20201029 - - 01023318 - 센코 - 347000 - 20201029 - 01508147 소림기계설비 @@ -487116,12 +486906,6 @@ 018250 20200629 - - 00555874 - 제주항공 - 089590 - 20200629 - 00936787 애경유화 @@ -487374,6 +487158,66 @@ 20200722 + + 00491983 + 대우로지스틱스 + + 20201222 + + + 01452325 + 보담피앤피 + + 20201222 + + + 01095801 + 신성미네랄 + + 20201222 + + + 00889197 + 지엔에스쏠리텍 + + 20201222 + + + 00180227 + 참존 + + 20201222 + + + 00466428 + 아미노로직스 + 074430 + 20201222 + + + 01517394 + 금성풍력 + + 20201222 + + + 00155276 + 포스코케미칼 + 003670 + 20201222 + + + 00537559 + 케이알투자증권 + + 20201222 + + + 00237039 + 귀뚜라미랜드 + + 20201222 + 00678810 드림기업 @@ -487476,6 +487320,96 @@ 20201027 + + 00990396 + 뿌리깊은나무들 + 266170 + 20201222 + + + 01468751 + 테일러메이드코리아 + + 20201222 + + + 01518472 + 더블리치제육차 + + 20201222 + + + 01518481 + 더블리치제칠차 + + 20201222 + + + 01518490 + 더블리치제팔차 + + 20201222 + + + 01518506 + 타조 + + 20201222 + + + 01290734 + 엠엔비프로덕션 + + 20201222 + + + 00141723 + 디아지오코리아 + + 20201222 + + + 00138312 + 프랭클린템플턴투자신탁운용 + + 20201222 + + + 01518515 + 가브리엘제오차 + + 20201222 + + + 01518542 + 비젠테크 + + 20201222 + + + 00542001 + 토요타파이낸셜서비스코리아 + + 20201222 + + + 00684273 + 교세라한국 + + 20201222 + + + 00164645 + HMM + 011200 + 20201222 + + + 01518339 + 헤링스 + + 20201222 + 00834498 에이치앤엠헤네스앤모리츠 @@ -487716,12 +487650,6 @@ 20201029 - - 00348724 - 노드슨코리아 - - 20201029 - 01507786 디나인인베스트 @@ -487920,12 +487848,6 @@ 20201201 - - 01514351 - 티빙 - - 20201201 - 01514360 이엘미디어컴퍼니 @@ -488142,6 +488064,12 @@ 103590 20201217 + + 01003031 + 이마트24 + + 20201221 + 00587466 KPX홀딩스 @@ -488250,6 +488178,102 @@ 20200812 + + 00153524 + 태림포장 + 011280 + 20201221 + + + 01412381 + 케이비안성로지스틱위탁관리부동산투자회사 + + 20201221 + + + 00825959 + 하이비젼시스템 + 126700 + 20201221 + + + 01443497 + 준성하이테크 + + 20201221 + + + 00309831 + 알에프텍 + 061040 + 20201221 + + + 01023822 + 메디젠휴먼케어 + 236340 + 20201221 + + + 00231363 + LG유플러스 + 032640 + 20201221 + + + 00464785 + 서영물류 + + 20201221 + + + 01497160 + 철도운전기술 + + 20201221 + + + 01486517 + 네이버제트 + + 20201221 + + + 01518287 + 지아이비에이치에스제삼차 + + 20201221 + + + 01518296 + 지아이비에이치에스제사차 + + 20201221 + + + 01518302 + 지아이비에스티 + + 20201221 + + + 01518311 + 지엔케이홀딩스 + + 20201221 + + + 01518320 + 지아이비에스제오차 + + 20201221 + + + 00299358 + 해덕파워웨이 + 102210 + 20201221 + 00820893 그린워터 @@ -489066,12 +489090,6 @@ 20201214 - - 00112332 - 미래에셋생명 - 085620 - 20201215 - 00304076 원방테크 @@ -490170,6 +490188,66 @@ 20201218 + + 00370006 + iMBC + 052220 + 20201221 + + + 01181515 + 엘앤씨바이오 + 290650 + 20201221 + + + 01435470 + 뉴팩코퍼레이션 + + 20201221 + + + 00638238 + 할리스에프앤비 + + 20201221 + + + 01286883 + 세일펫 + + 20201221 + + + 00130772 + SBS + 034120 + 20201221 + + + 01514351 + 티빙 + + 20201221 + + + 00145792 + 인성 + + 20201221 + + + 01184594 + 마스턴제14호위탁관리부동산투자회사 + + 20201221 + + + 00249502 + 더블유에프엠 + 035290 + 20201222 + 01497276 에스지브라이트 @@ -491832,12 +491910,6 @@ 064820 20201214 - - 00141723 - 디아지오코리아 - - 20200828 - 01495977 이스턴펙 @@ -491904,12 +491976,6 @@ 20200908 - - 01412381 - 케이비안성로지스틱위탁관리부동산투자회사 - - 20200908 - 00789107 데이원에너지 @@ -492300,12 +492366,6 @@ 20201021 - - 00990396 - 뿌리깊은나무들 - 266170 - 20201021 - 00263575 폴린트컴포지트코리아 @@ -493518,12 +493578,6 @@ 20200921 - - 00141051 - 농협케미컬 - - 20200921 - 01248096 농업회사법인농협식품 @@ -493740,12 +493794,6 @@ 348210 20201008 - - 01505186 - 엔에이치기업인수목적18호 - - 20201008 - 00100814 포스코건설 @@ -494154,12 +494202,6 @@ 20200623 - - 00889197 - 지엔에스쏠리텍 - - 20200623 - 00874991 머티리얼즈파크 @@ -495204,6 +495246,36 @@ 20201112 + + 00222408 + 신안캐피탈 + + 20201222 + + + 01518454 + 디어젠 + + 20201222 + + + 01518463 + 신홀딩스 + + 20201222 + + + 01344372 + 엔브이씨파트너스 + + 20201222 + + + 01228825 + 씨엠엔텍 + + 20201222 + 01070334 베타젠 @@ -495468,6 +495540,48 @@ 20201217 + + 01308194 + 시큐레이어 + + 20201221 + + + 00908951 + 인성에이앤티 + + 20201221 + + + 00571410 + 케이지에듀원 + + 20201221 + + + 00235147 + 에스모 + 073070 + 20201221 + + + 00255114 + 리치몬트코리아 + + 20201221 + + + 01518250 + 코리아경매 + + 20201221 + + + 01023318 + 센코 + 347000 + 20201221 + 00609847 티에스티 @@ -495960,12 +496074,6 @@ 20201026 - - 01259649 - 제이파트너스 - - 20201026 - 01212268 동우통상 @@ 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gf8lq?aU#g8m+c*mmiY+3at|@uY_=(9!_I&H7t3!H+yDRo diff --git a/data/corp_list.csv b/data/corp_list.csv index c1f6f448..ce5cf91e 100644 --- a/data/corp_list.csv +++ b/data/corp_list.csv @@ -625,2647 +625,2650 @@ "35891","00413824","제이앤유글로벌","086200" "35934","01090301","케이비제8호기업인수목적","222390" "36201","00626710","베트남개발1","096300" -"36292","01010572","패션플랫폼","256090" -"36477","01075047","키움제3호기업인수목적","218710" -"36491","00612115","유디피","091270" -"36589","01089828","유진기업인수목적3호","221200" -"36604","00799070","이스트아시아홀딩스","900110" -"36614","01087079","한화에이스기업인수목적2호","219860" -"36624","01072660","엔에이치기업인수목적7호","217810" -"36667","01091391","교보5호기업인수목적","223040" -"36668","01089961","케이비드림투게더제3호기업인수목적","221950" -"36731","01089387","유안타제2호기업인수목적","219960" -"36786","01111765","에스엠로보틱스","252940" -"36862","01115257","시냅스엠","246830" -"37612","00408336","인산가","062580" -"37829","01109186","동부제4호기업인수목적","230490" -"37891","01095892","태경피엔에스","235090" -"37939","00130949","카카오엠","016170" 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-"3488",0.0125656639289697,0.029657145342002,0.0294213721099534,0.00688495119009547,-0.0210149548032451,-0.00738586001043107,0.0289031266754562,0.0313931000654022,-0.0442709750065945,0.0122044241037376 -"3489",-0.00146660412911126,0.0150765181997541,-0.00378971879777346,-0.0113965383576591,-0.00576692077134833,-0.00284265433565378,0.0111645261366569,0.0174381414889619,0.00331278269005253,0.0195930670685758 -"3490",0.00742853389495024,0.00975390288434896,0.00602319847263,0.00649757076191215,0.00360901844252703,0.00159309067793467,0.00641094873379044,0.0137114054222498,-0.00432659673627234,-0.000739098300073904 -"3491",-0.00970092595650973,-0.01470905512148,-0.0154403457571992,-0.0074968499512158,0.0170177578901101,0.00569231341892529,-0.0120325176668192,-0.0172148791028243,0.00606068059670717,-0.00813609467455612 -"3492",0.013844509855391,0.0155971311749648,0.0142422410626972,0.0140579705290693,-0.00132589186917087,-0.00133172710437202,0.0261492367164731,0.00594310309487334,0.0068197144365878,-0.00447427293064884 -"3493",0.0124826120023434,0.00943387302159993,0.0142000283627697,0.0124145558041135,-0.00240269129403659,-0.000750221641979465,0.00814518663445041,0.0130597636815921,-0.0000565025952471432,0.00898876404494398 -"3494",-0.00537832385488324,-0.00130399049995145,-0.0038892659950639,-0.0010218603743678,0.00652797809599392,0.00258566754078537,0.000807900658351457,0.00306930613448086,-0.0036691731414904,0.00296956198960641 -"3495",-0.0120348718247192,-0.00544065470791644,-0.00671560505874069,-0.003477937055131,0.00289669115395697,-0.000332703138277712,-0.0179909802039316,-0.00489596083231325,-0.0057223512747876,0.00148038490007396 -"3496",0.00421022508385915,0.00722093857035078,0.00660374314661683,0.00164244817016623,0.00514840727626309,0.00108191171718053,0.00199648384165196,0.00430504305043033,-0.00188045467318787,0 -"3497",-0.00684779803934021,-0.00130342385404636,0.0112465123830972,0.00553387530597993,0.00886997129430211,0.00174571740082841,-0.00468823513752781,-0.00122477036129809,0.00302579349107579,0.00517368810051733 -"3498",0.0059943794810573,-0.000870163676983338,0.000617941067318828,0.00264982154223148,-0.00458159322621399,-0.00199168931936677,-0.0008242641758619,-0.00582461697806924,-0.0196938127418315,0.00294117647058822 -"3499",0.0161137303668235,0.0156760829074649,0.0151281221610053,0.013417310619622,-0.00995223795148559,-0.00157990938871044,0.00282848676865965,0.0141843663274748,-0.015328340366448,0.0212609970674487 -"3500",-0.00154174863315815,0.000214267322909523,-0.00714722697049641,-0.00561683332116936,-0.00307851511692148,0.000333121714970908,0.000822712080600807,0.00121620557057467,-0.000471731834936873,0.00861450107681261 -"3501",0.00278504414703007,0.00364340506008598,0.014397339729274,0.00948162992926993,0.00970510441013284,0.00299726376293741,-0.00305307807835509,0.00182210750075917,-0.0101469060865702,-0.0021352313167261 -"3502",-0.00442712815826585,-0.0164424191356956,-0.0277819728086511,-0.0261790905105282,-0.00124816437080588,-0.000664039598186839,-0.00871616470103909,-0.017278083220486,-0.00667498090902252,-0.00570613409415122 -"3503",0.0109373702926832,0.0245331782243872,0.020500059348493,0.0197003132712501,-0.0147444903241852,-0.00531958933512211,0.0114069099515917,0.021283252392551,0.0210595490617334,-0.00286944045911042 -"3504",0.00210377143133078,0.0012714691306086,-0.00167407295458155,0.00140878066887606,-0.007936543347558,-0.00167123596585095,-0.00892862287981588,-0.00634246432067442,0.00752153045393533,0.00431654676258986 -"3505",-0.00027264501842017,0.000846591020783549,0.00243908452286878,0.0114550570768115,0.00806397460988029,0.00267846224921109,0.00746790859911606,0.0103343458763314,0.00787350370281992,0.00143266475644688 -"3506",0.00861760247602539,0.00888127115526061,0.00456194608143701,0.0103317284283577,-0.014665699235193,-0.00392350993706891,0.0147076629402403,0.00661844123836119,-0.0028354320101317,0.0042918454935621 -"3507",-0.00205488945832433,-0.00523993063764894,-0.0146835712894194,0,0.00902063734986602,0.0031008996176265,-0.00776899176447665,-0.00717268401591997,0.014914066246527,0 -"3508",0.0029261812179262,0.00400338131424816,0.00230451390225084,0.000393286902139467,0.00472540948529798,0.00100258237316964,-0.00490830012383747,0.00361225154689193,0.00348791242202484,0.00142450142450157 -"3509",-0.00896893548350419,-0.000419689281515145,0.00705086648059527,-0.00864948631826545,-0.00330492482629707,-0.00141893447666108,-0.00763353884671281,-0.0026994601079785,-0.0170940170940171,0.000711237553342903 -"3510",-0.000327069065734764,-0.00125980799217373,0.00167422087668445,0.0128892379962506,0.00886364905207349,0.00225684097078482,-0.00579881358040146,0.00330830075187971,-0.00191305507246387,0.0149253731343284 -"3511",-0.00117257171203444,-0.0060962691463915,0.00212740790044719,-0.00704776281654174,0.00353960911229589,0.00200149411314832,0.000476098068984854,0.000599520365721862,0.00185866877921437,-0.00280112044817926 -"3512",-0.00447716915727869,-0.000681773644459427,0.00331856233150818,-0.00519919880486852,-0.00277132019028492,-0.000582643638787683,-0.00466151798085734,0.00149787293295756,-0.0055076350655795,0.00280898876404478 -"3513",0.0135193949138301,0.0138592104964088,0.00713082948682575,0.0108129958112333,-0.0033474534180945,-0.000999326155221913,0.0192632559418073,0.010768800478612,0.0139909589479812,0.00770308123249319 -"3514",0.0015694094177825,0.00462672985545187,-0.000150557403610696,0.00475437797147404,-0.00266155683820046,-0.000833593717547543,0.00153551847221745,0.00680671776245312,0.00551909847626653,0.00555941626129264 -"3515",0.00559195502136389,0.00795482520410284,0.00587613352978167,0.00650626958780998,-0.00264604106491628,-0.00072633923398191,0.0097889136715541,0.00646684303350953,0.0105203605667363,0.0117484450587422 -"3516",-0.00399290720344347,-0.00373833837016246,-0.00284604545098732,-0.0011752595724831,-0.00299745529979356,-0.000835413554772235,-0.0179864628129014,-0.0140188075923592,-0.00169742554890162,0.00341530054644812 diff --git a/docs/03-api.md b/docs/03-api.md index 14f4fe11..ebad65bd 100644 --- a/docs/03-api.md +++ b/docs/03-api.md @@ -320,12 +320,12 @@ tail(DEXKOUS) ``` ## DEXKOUS -## 2020-12-04 1082 -## 2020-12-07 1082 -## 2020-12-08 1085 -## 2020-12-09 1084 -## 2020-12-10 1087 ## 2020-12-11 1091 +## 2020-12-14 1093 +## 2020-12-15 1092 +## 2020-12-16 1094 +## 2020-12-17 1093 +## 2020-12-18 1099 ``` 해당 티커를 입력하면, FRED 웹사이트와 동일한 데이터가 다운로드됩니다. 이 외에도 509,000여 개의 방대한 FRED 데이터를 해당 함수를 통해 손쉽게 R에서 다운로드할 수 있습니다. diff --git a/docs/04-crawling.md b/docs/04-crawling.md index 23767167..20e07569 100644 --- a/docs/04-crawling.md +++ b/docs/04-crawling.md @@ -126,26 +126,26 @@ print(data_title) ``` -## [1] "임차료 직접 지원 검토…3차 지원금 " -## [2] "산은, 600억 연체 중인 쌍용차 대" -## [3] "ISA 통해 투자한 주식·채권 2년 " -## [4] "\"어게인 2018\"…내년 반도체 3차" -## [5] "" -## [6] "[표] 주요국 증시 주간 동향" -## [7] "한달새 30% 급등한 한전…주가 전망" -## [8] "증권사 공매도 42% 줄듯…금융위, " -## [9] "[표] 주간 주요 증시 지표" -## [10] "야놀자·빅히트·마켓컬리 성공 뒤에는·" -## [11] "'공포'에 사서 기다렸다…'주식 필패" -## [12] "증시 '3대 편견' 깨고…수익률 승자" -## [13] "주식세제·공모주…금융정책도 좌지우지하" -## [14] "증권사들 공매도 규모 42% 줄어든다" -## [15] "내년 ETF 투자 황금비율…'주식 5" -## [16] "개인 계좌 1년새 589만개 급증" -## [17] "'액티브 ETF'가 뜬다…美 혁신기업" -## [18] "美 지수서 퇴출되는 中 기업들…\"친환" -## [19] "김병욱 “시장조성자 제도 개선 환영”" -## [20] "금융당국 \"불확실성 대비해야\"...은" +## [1] "[시그널] 키스톤PE, 이번엔 KMH" +## [2] "[부고]서보익(유진투자증권 자산운용실" +## [3] "코로나19 위기에도…코스콤의 나눔은 " +## [4] "[특징주]덕양산업, LG전자-마그나 " +## [5] "예탁원, \"연말 배당받으려면 28일까" +## [6] "[특징주] LG전자-마그나 조인트벤처" +## [7] "[기자수첩]여론과 현실 사이" +## [8] "아이오케이, 아이피퍼포먼스와 '202" +## [9] "대웅제약, 코로나19 치료제 임상2a" +## [10] "소리바다, 이사 19명 등 경영진 직" +## [11] "배당 막차 타볼까… 예탁원 \"28일까" +## [12] "[부고] 서보익씨(유진투자증권 자산운" +## [13] "코리아에셋투자증권 '찾아가는 산타클로" +## [14] "[특징주]강스템바이오텍, 코로나 치료" +## [15] "인피니트헬스케어-국립암센터, '차세대" +## [16] "2030세대 10명중 7명 \"미래 자" +## [17] "[특징주]LG전자 전기차 부품 생산에" +## [18] "[fn마켓워치]김용진 국민연금 이사장" +## [19] "앤디포스, 그릿코리아와 코로나19 신" +## [20] "[올댓차이나] 홍콩 항셍지수, 편입종" ``` ### 기업공시채널에서 오늘의 공시 불러오기 @@ -417,24 +417,24 @@ print(head(table)) ``` ## N 종목명 현재가 전일비 등락률 액면가 ## 1 NA -## 2 1 삼성전자 73,000 300 -0.41% 100 -## 3 2 SK하이닉스 118,500 1,000 -0.84% 5,000 -## 4 3 LG화학 814,000 16,000 -1.93% 5,000 -## 5 4 삼성전자우 68,600 300 -0.44% 100 -## 6 5 삼성바이오로직스 802,000 2,000 -0.25% 2,500 +## 2 1 삼성전자 73,600 1,300 +1.80% 100 +## 3 2 SK하이닉스 115,000 2,500 +2.22% 5,000 +## 4 3 삼성전자우 69,500 1,000 +1.46% 100 +## 5 4 LG화학 806,000 9,000 +1.13% 5,000 +## 6 5 삼성바이오로직스 798,000 5,000 -0.62% 2,500 ## 시가총액 상장주식수 외국인비율 거래량 PER ## 1 NA -## 2 4,357,941 5,969,783 55.98 17,380,940 19.93 -## 3 862,683 728,002 49.84 2,981,088 30.06 -## 4 574,622 70,592 42.55 350,546 76.05 -## 5 564,500 822,887 82.60 3,244,480 18.73 -## 6 530,643 66,165 10.21 66,273 149.32 +## 2 4,393,760 5,969,783 55.91 16,619,129 20.10 +## 3 837,203 728,002 49.82 2,759,551 29.17 +## 4 571,906 822,887 82.36 2,258,497 18.98 +## 5 568,974 70,592 42.33 424,958 75.31 +## 6 527,997 66,165 10.34 99,795 148.58 ## ROE 토론실 ## 1 NA ## 2 8.69 NA ## 3 4.25 NA -## 4 1.84 NA -## 5 N/A NA +## 4 N/A NA +## 5 1.84 NA ## 6 4.77 NA ``` @@ -449,24 +449,24 @@ print(head(table)) ``` ## N 종목명 현재가 전일비 등락률 액면가 -## 2 1 삼성전자 73,000 300 -0.41% 100 -## 3 2 SK하이닉스 118,500 1,000 -0.84% 5,000 -## 4 3 LG화학 814,000 16,000 -1.93% 5,000 -## 5 4 삼성전자우 68,600 300 -0.44% 100 -## 6 5 삼성바이오로직스 802,000 2,000 -0.25% 2,500 -## 10 6 셀트리온 356,000 4,500 +1.28% 1,000 +## 2 1 삼성전자 73,600 1,300 +1.80% 100 +## 3 2 SK하이닉스 115,000 2,500 +2.22% 5,000 +## 4 3 삼성전자우 69,500 1,000 +1.46% 100 +## 5 4 LG화학 806,000 9,000 +1.13% 5,000 +## 6 5 삼성바이오로직스 798,000 5,000 -0.62% 2,500 +## 10 6 셀트리온 358,500 500 -0.14% 1,000 ## 시가총액 상장주식수 외국인비율 거래량 PER -## 2 4,357,941 5,969,783 55.98 17,380,940 19.93 -## 3 862,683 728,002 49.84 2,981,088 30.06 -## 4 574,622 70,592 42.55 350,546 76.05 -## 5 564,500 822,887 82.60 3,244,480 18.73 -## 6 530,643 66,165 10.21 66,273 149.32 -## 10 480,592 134,998 20.79 905,386 94.35 +## 2 4,393,760 5,969,783 55.91 16,619,129 20.10 +## 3 837,203 728,002 49.82 2,759,551 29.17 +## 4 571,906 822,887 82.36 2,258,497 18.98 +## 5 568,974 70,592 42.33 424,958 75.31 +## 6 527,997 66,165 10.34 99,795 148.58 +## 10 483,967 134,998 20.66 1,205,642 95.02 ## ROE ## 2 8.69 ## 3 4.25 -## 4 1.84 -## 5 N/A +## 4 N/A +## 5 1.84 ## 6 4.77 ## 10 11.19 ``` @@ -489,10 +489,10 @@ print(head(symbol, 10)) ## [2] "/item/board.nhn?code=005930" ## [3] "/item/main.nhn?code=000660" ## [4] "/item/board.nhn?code=000660" -## [5] "/item/main.nhn?code=051910" -## [6] "/item/board.nhn?code=051910" -## [7] "/item/main.nhn?code=005935" -## [8] "/item/board.nhn?code=005935" +## [5] "/item/main.nhn?code=005935" +## [6] "/item/board.nhn?code=005935" +## [7] "/item/main.nhn?code=051910" +## [8] "/item/board.nhn?code=051910" ## [9] "/item/main.nhn?code=207940" ## [10] "/item/board.nhn?code=207940" ``` @@ -520,10 +520,10 @@ print(head(symbol, 10)) ## "005930" "005930" ## /item/main.nhn?code=000660 /item/board.nhn?code=000660 ## "000660" "000660" -## /item/main.nhn?code=051910 /item/board.nhn?code=051910 -## "051910" "051910" ## /item/main.nhn?code=005935 /item/board.nhn?code=005935 ## "005935" "005935" +## /item/main.nhn?code=051910 /item/board.nhn?code=051910 +## "051910" "051910" ## /item/main.nhn?code=207940 /item/board.nhn?code=207940 ## "207940" "207940" ``` @@ -539,7 +539,7 @@ print(head(symbol, 10)) ``` ``` -## [1] "005930" "000660" "051910" "005935" "207940" +## [1] "005930" "000660" "005935" "051910" "207940" ## [6] "068270" "035420" "005380" "006400" "035720" ``` diff --git a/docs/05-crawling_practice.md b/docs/05-crawling_practice.md index 30a82953..f5a95ea8 100644 --- a/docs/05-crawling_practice.md +++ b/docs/05-crawling_practice.md @@ -97,13 +97,13 @@ print(down_sector) ## 1 코스피 030720 동원수산… 농업, 임업 … 8940 ## 2 코스피 007160 사조산업… 농업, 임업 … 54400 ## 3 코스피 006040 동원산업… 농업, 임업 … 246500 -## 4 코스피 004970 신라교역… 농업, 임업 … 14350 -## 5 코스피 003580 넥스트사이… 광업 5200 -## 6 코스피 012320 경동인베스… 광업 40300 -## 7 코스피 017810 풀무원 음식료품 11300 -## 8 코스피 280360 롯데제과… 음식료품 159500 -## 9 코스피 271560 오리온 음식료품 83300 -## 10 코스피 006090 사조오양… 음식료품 8220 +## 4 코스피 006090 사조오양… 음식료품 8220 +## 5 코스피 271560 오리온 음식료품 83300 +## 6 코스피 007310 오뚜기 음식료품 694000 +## 7 코스피 006060 화승인더… 화학 10300 +## 8 코스피 004970 신라교역… 농업, 임업 … 14350 +## 9 코스피 003580 넥스트사이… 광업 5200 +## 10 코스피 012320 경동인베스… 광업 40300 ## # … with 2,233 more rows, and 2 more variables: ## # 전일대비 , `시가총액(원)` ``` @@ -242,7 +242,7 @@ print(biz_day) ``` ``` -## [1] "20201216" +## [1] "20201221" ``` 1. 페이지의 url을 저장합니다. diff --git a/docs/06-crawling_actual.md b/docs/06-crawling_actual.md index 3ae9ae6b..02d9fa88 100644 --- a/docs/06-crawling_actual.md +++ b/docs/06-crawling_actual.md @@ -71,7 +71,7 @@ print(price) ``` ## [,1] -## 2020-12-20 NA +## 2020-12-23 NA ``` 1. data 폴더 내에 KOR_price 폴더를 생성합니다. @@ -96,12 +96,12 @@ print(head(data_html)) ``` ``` -## [1] "20181211|40600|40700|40200|40250|10638766" -## [2] "20181212|40250|40700|40150|40450|12024279" -## [3] "20181213|40650|40750|40000|40000|26254646" -## [4] "20181214|40200|40200|38700|38950|19671783" -## [5] "20181217|38650|39600|38650|39150|11532968" -## [6] "20181218|38300|39200|38300|38900|11042101" +## [1] "20181214|40200|40200|38700|38950|19671783" +## [2] "20181217|38650|39600|38650|39150|11532968" +## [3] "20181218|38300|39200|38300|38900|11042101" +## [4] "20181219|38900|39350|38850|39100|9942037" +## [5] "20181220|38600|39100|38500|38650|11937617" +## [6] "20181221|38200|38650|38100|38650|14947080" ``` 1. `paste0()` 함수를 이용해 원하는 종목의 url을 생성합니다. url 중 티커에 해당하는 6자리 부분만 위에서 입력한 name으로 설정해주면 됩니다. @@ -121,14 +121,15 @@ print(head(price)) ``` ## # A tibble: 6 x 6 -## `20181211` `40600` `40700` `40200` `40250` `10638766` -## -## 1 20181212 40250 40700 40150 40450 12024279 -## 2 20181213 40650 40750 40000 40000 26254646 -## 3 20181214 40200 40200 38700 38950 19671783 -## 4 20181217 38650 39600 38650 39150 11532968 -## 5 20181218 38300 39200 38300 38900 11042101 -## 6 20181219 38900 39350 38850 39100 9942037 +## `20181214` `40200` `40200_1` `38700` `38950` +## +## 1 20181217 38650 39600 38650 39150 +## 2 20181218 38300 39200 38300 38900 +## 3 20181219 38900 39350 38850 39100 +## 4 20181220 38600 39100 38500 38650 +## 5 20181221 38200 38650 38100 38650 +## 6 20181224 38500 39050 38300 38800 +## # … with 1 more variable: `19671783` ``` readr 패키지의 `read_delim()` 함수를 쓰면 구분자로 이루어진 데이터를 테이블로 쉽게 변경할 수 있습니다. 데이터를 확인해보면 테이블 형태로 변경되었으며 각 열은 날짜, 시가, 고가, 저가, 종가, 거래량을 의미합니다. 이 중 우리가 필요한 날짜와 종가를 선택한 후 데이터 클렌징을 해줍니다. @@ -149,12 +150,12 @@ print(tail(price)) ``` ## Price -## 2020-12-11 73400 -## 2020-12-14 73800 -## 2020-12-15 73800 ## 2020-12-16 73800 ## 2020-12-17 73300 ## 2020-12-18 73000 +## 2020-12-21 73000 +## 2020-12-22 72300 +## 2020-12-23 73500 ``` 1. 날짜에 해당하는 첫 번째 열과, 종가에 해당하는 다섯 번째 열만 선택해 저장합니다. @@ -589,7 +590,7 @@ print(price) ``` ``` -## [1] 73000 +## [1] 72300 ``` 1. url을 입력한 후, `GET()` 함수를 이용해 데이터를 불러오며, 역시나 user_agent를 추가해 줍니다. @@ -664,7 +665,7 @@ print(data_value) ``` ## PER PBR PCR PSR -## 20.265 1.658 9.603 1.891 +## 20.070 1.642 9.511 1.873 ``` 분자에는 현재 주가를 입력하며, 분모에는 재무 데이터를 보통주 발행주식수로 나눈 값을 입력합니다. 단, 주가는 원 단위, 재무 데이터는 억 원 단위이므로, 둘 사이에 단위를 동일하게 맞춰주기 위해 분모에 억을 곱합니다. 또한 가치지표가 음수인 경우는 NA로 변경해줍니다. @@ -882,7 +883,7 @@ print(codezip_data) ``` ## Response [https://opendart.fss.or.kr/api/corpCode.xml?crtfc_key=b1a630e527b0e5ff5bd58ed81b49825017fa80b8] -## Date: 2020-12-20 13:01 +## Date: 2020-12-23 05:58 ## Status: 200 ## Content-Type: application/x-msdownload ## Size: 1.4 MB @@ -924,7 +925,7 @@ print(nm) ``` ## Name Length Date -## 1 CORPCODE.xml 16039857 +## 1 CORPCODE.xml 16044687 ``` 1. `tempfile()` 함수 통해 빈 .zip 파일을 만듭니다. @@ -996,7 +997,7 @@ nrow(corp_list) ``` ``` -## [1] 83201 +## [1] 83226 ``` ```r @@ -1013,7 +1014,7 @@ head(corp_list) ## 6 00179984 연방건설산업 ``` -종목수를 확인해보면 83201 개가 확인되며, 이 중 stock 열이 빈 종목은 거래소에 상장되지 않은 종목입니다. 따라서 해당 데이터는 삭제하여 거래소 상장 종목만을 남긴 후, csv 파일로 저장하도록 합니다. +종목수를 확인해보면 83226 개가 확인되며, 이 중 stock 열이 빈 종목은 거래소에 상장되지 않은 종목입니다. 따라서 해당 데이터는 삭제하여 거래소 상장 종목만을 남긴 후, csv 파일로 저장하도록 합니다. ```r @@ -1069,27 +1070,27 @@ head(notice_data) ``` ``` -## corp_code corp_name stock_code corp_cls -## 1 00249441 씨씨에스 066790 K -## 2 00545929 제넥신 095700 K -## 3 00167208 흥아해운 003280 Y -## 4 00167208 흥아해운 003280 Y -## 5 01363818 롯데리츠 330590 Y -## 6 00181712 SK 034730 Y -## report_nm -## 1 기타시장안내(개선계획 이행내역서 제출) -## 2 투자판단관련주요경영사항(코로나바이러스감염증-19 (COVID-19) 예방백신 (GX-19) 임상 제1/2a상 임상시험 종료) -## 3 [기재정정]임시주주총회결과 -## 4 기타경영사항(자율공시) -## 5 [첨부정정]주요사항보고서(유형자산양수결정) -## 6 타인에대한채무보증결정(자회사의 주요경영사항) -## rcept_no flr_nm rcept_dt rm -## 1 20201218900715 코스닥시장본부 20201218 코 -## 2 20201218900783 제넥신 20201218 코 -## 3 20201218800815 흥아해운 20201218 유 -## 4 20201218800814 흥아해운 20201218 유 -## 5 20201218000648 롯데리츠 20201218 -## 6 20201218800792 SK 20201218 유 +## corp_code corp_name stock_code corp_cls +## 1 00138321 신한금융투자 008670 E +## 2 00948515 아이언그레이 E +## 3 00138321 신한금융투자 008670 E +## 4 00948515 아이언그레이 E +## 5 00112378 KR모터스 000040 Y +## 6 00111722 미래에셋대우 006800 Y +## report_nm +## 1 일괄신고추가서류(파생결합사채-주가연계파생결합사채) +## 2 특수관계인의유상증자참여 +## 3 일괄신고추가서류(파생결합증권-주가연계증권) +## 4 유상증자결정 +## 5 유상증자또는주식관련사채등의발행결과(자율공시) +## 6 일괄신고추가서류(기타파생결합사채) +## rcept_no flr_nm rcept_dt rm +## 1 20201223000354 신한금융투자 20201223 +## 2 20201223000351 아이언그레이 20201223 공 +## 3 20201223000349 신한금융투자 20201223 +## 4 20201223000346 아이언그레이 20201223 공 +## 5 20201223800392 KR모터스 20201223 유 +## 6 20201223000341 미래에셋대우 20201223 ``` `fromJSON()` 함수를 통해 JSON 데이터를 받은 후 list를 확인해보면 우리가 원하는 공시정보, 즉 일주일 전부터 100건의 공시 정보가 다운로드 되어 있습니다. @@ -1130,19 +1131,19 @@ head(notice_data_ss) ## 5 00126380 삼성전자 005930 Y ## 6 00126380 삼성전자 005930 Y ## report_nm rcept_no -## 1 임원ㆍ주요주주특정증권등소유상황보고서 20201218000643 -## 2 임원ㆍ주요주주특정증권등소유상황보고서 20201217000257 -## 3 임원ㆍ주요주주특정증권등소유상황보고서 20201217000239 -## 4 임원ㆍ주요주주특정증권등소유상황보고서 20201215000506 -## 5 임원ㆍ주요주주특정증권등소유상황보고서 20201215000074 -## 6 임원ㆍ주요주주특정증권등소유상황보고서 20201215000061 +## 1 임원ㆍ주요주주특정증권등소유상황보고서 20201223000225 +## 2 임원ㆍ주요주주특정증권등소유상황보고서 20201222000063 +## 3 임원ㆍ주요주주특정증권등소유상황보고서 20201218000643 +## 4 임원ㆍ주요주주특정증권등소유상황보고서 20201217000257 +## 5 임원ㆍ주요주주특정증권등소유상황보고서 20201217000239 +## 6 임원ㆍ주요주주특정증권등소유상황보고서 20201215000506 ## flr_nm rcept_dt rm -## 1 지송하 20201218 -## 2 이상훈 20201217 -## 3 양장규 20201217 -## 4 최재혁 20201215 -## 5 전승준 20201215 -## 6 김윤재 20201215 +## 1 장의영 20201223 +## 2 유병길 20201222 +## 3 지송하 20201218 +## 4 이상훈 20201217 +## 5 양장규 20201217 +## 6 최재혁 20201215 ``` 역시나 JSON 형태로 손쉽게 공시정보를 다운로드 받을 수 있습니다. 이 중 rcept_no는 공시번호에 해당하며, 해당 데이터를 이용해 공시에 해당하는 url에 접속을 할 수도 있습니다. @@ -1158,7 +1159,7 @@ print(notice_dart_url) ``` ``` -## [1] "http://dart.fss.or.kr/dsaf001/main.do?rcpNo=20201218000643" +## [1] "http://dart.fss.or.kr/dsaf001/main.do?rcpNo=20201223000225" ``` dart 홈페이지의 공시에 해당하는 url과 첫번째 공시에 해당하는 공시번호를 합쳐주도록 합니다. diff --git a/docs/08-data_analysis.md b/docs/08-data_analysis.md index 52c0c98c..68742d5f 100644 --- a/docs/08-data_analysis.md +++ b/docs/08-data_analysis.md @@ -1025,8 +1025,8 @@ dygraph(prices) %>% dyRangeSelector() ``` -
- +
+ `dygraphs` 패키지의 `dygraph()` 함수를 이용하면 사용자의 움직임에 따라 반응하는 그래프를 그릴 수 있습니다. 해당 패키지는 JavaScript를 이용해 인터랙티브한 그래프를 구현합니다. 그래프 위에 마우스 커서를 올리면 날짜 및 가격이 표시되기도 하며, 하단의 셀렉터를 이용해 원하는 기간의 수익률을 선택할 수도 있습니다. @@ -1039,8 +1039,8 @@ highchart(type = 'stock') %>% hc_scrollbar(enabled = FALSE) ``` -
- +
+ highcharter 패키지의 `highchart()` 함수 역시 이와 비슷하게 인터랙티브 그래프를 생성해줍니다. 왼쪽 상단의 기간을 클릭하면 해당 기간의 수익률만 확인할 수 있으며, 오른쪽 상단에 기간을 직접 입력할 수도 있습니다. @@ -1055,8 +1055,8 @@ p = SPY %>% ggplotly(p) ``` -
- +
+ plotly 패키지는 R뿐만 아니라 Python, MATLAB, Julia 등 여러 프로그래밍 언어에 사용될 수 있는 그래픽 패키지로서 최근에 많은 사랑을 받고 있습니다. R에서는 단순히 `ggplot()`을 이용해 나타낸 그림에 `ggplotly()` 함수를 추가하는 것만으로 인터랙티브한 그래프를 만들어줍니다. diff --git a/docs/11-portfolio.md b/docs/11-portfolio.md index 037f6c78..7be18942 100644 --- a/docs/11-portfolio.md +++ b/docs/11-portfolio.md @@ -194,9 +194,9 @@ print(result$par) ``` ``` -## [1] 1.427e-01 -8.243e-19 -1.215e-17 3.376e-18 -## [5] 8.500e-17 7.924e-01 5.714e-19 6.046e-19 -## [9] 1.081e-17 6.491e-02 +## [1] 1.427e-01 5.610e-18 1.687e-18 4.052e-19 +## [5] -4.594e-17 7.924e-01 -1.304e-18 -1.052e-18 +## [9] -3.396e-18 6.489e-02 ``` ```r @@ -204,7 +204,7 @@ print(result$value) ``` ``` -## [1] 0.000009852 +## [1] 0.000009847 ``` 위에서 만들어진 함수들을 바탕으로 최적화 작업을 실행합니다. 초기값인 x0에는 먼저 동일한 비중들을 입력합니다. 예제에서는 종목이 10개 이므로, x0값에는 `rep(0.1, 10)` 인 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1을 입력합니다. 최소화하고자 하는 목적함수 fn에는 위에서 구성한 objective 함수를 입력합니다. 부등위 제약조건과 등위 제약조건에도 각각 위에서 구성한 hin.objective와 heq.objective 함수를 입력합니다. @@ -377,9 +377,9 @@ print(result$solution) ``` ``` -## [1] 1.427e-01 -3.407e-19 0.000e+00 1.137e-17 -## [5] -2.769e-17 7.924e-01 -1.881e-18 -2.249e-18 -## [9] -1.908e-19 6.491e-02 +## [1] 1.427e-01 -6.580e-19 0.000e+00 -7.526e-19 +## [5] 5.724e-18 7.924e-01 4.612e-20 -5.605e-19 +## [9] -5.213e-19 6.489e-02 ``` ```r @@ -387,7 +387,7 @@ print(result$value) ``` ``` -## [1] 0.000004926 +## [1] 0.000004923 ``` 위에 입력된 내역들을 `solve.QP()` 함수에 넣어 최적화 값을 찾아줍니다. 결과 중 \$solution은 최적화된 지점의 해, 즉 최소분산 포트폴리오를 구성하는 자산들의 투자비중을 의미합니다. \$value는 \$solution에서 산출된 값을 목적함수에 입력했을때 나오는 결괏값으로서, 포트폴리오의 분산을 의미합니다. @@ -820,7 +820,7 @@ result$solution %>% ``` ## SPY IEV EWJ EEM TLT IEF IYR RWX -## 0.1034 0.1000 0.0866 0.0500 0.2000 0.2000 0.0500 0.0500 +## 0.1035 0.1000 0.0865 0.0500 0.2000 0.2000 0.0500 0.0500 ## GLD DBC ## 0.0800 0.0800 ``` @@ -962,9 +962,9 @@ print(w) ``` ## SPY IEV EWJ EEM TLT IEF IYR RWX -## 17.001 1.199 4.617 0.000 26.176 37.925 2.864 0.000 +## 17.008 1.197 4.616 0.000 26.199 37.900 2.864 0.000 ## GLD DBC -## 7.859 11.959 +## 7.860 11.962 ``` 입력된 목적함수와 제약조건들을 바탕으로 `solve.QP()` 함수를 통해 최적화를 수행한 후 최대분산효과를 만족하는 해를 구해보면, 비중의 합이 1을 초과하게 됩니다. $w_i = \frac{w_i}{\sum_{i=1}^nw_i}$를 통해 비중의 합이 1이 되도록 표준화를 해줍니다. @@ -979,7 +979,7 @@ print(w) ``` ## SPY IEV EWJ EEM TLT IEF IYR RWX -## 0.1551 0.0109 0.0421 0.0000 0.2388 0.3460 0.0261 0.0000 +## 0.1552 0.0109 0.0421 0.0000 0.2390 0.3458 0.0261 0.0000 ## GLD DBC ## 0.0717 0.1091 ``` @@ -1013,7 +1013,7 @@ print(w) ``` ``` -## [1] 0.1551 0.0109 0.0421 0.0000 0.2388 0.3460 0.0261 +## [1] 0.1552 0.0109 0.0421 0.0000 0.2390 0.3458 0.0261 ## [8] 0.0000 0.0717 0.1091 ``` @@ -1314,7 +1314,7 @@ print(w) ``` ## SPY IEV EWJ EEM TLT IEF IYR RWX -## 0.0600 0.0464 0.0565 0.0371 0.1748 0.3721 0.0394 0.0505 +## 0.0600 0.0464 0.0565 0.0371 0.1749 0.3721 0.0394 0.0505 ## GLD DBC ## 0.0868 0.0763 ``` @@ -1333,8 +1333,8 @@ get_RC(w, covmat) ``` ``` -## [1] 0.10004 0.09991 0.10003 0.10008 0.10004 0.10007 -## [7] 0.09991 0.10001 0.09998 0.09994 +## [1] 0.10001 0.09990 0.10002 0.10007 0.10011 0.10009 +## [7] 0.09988 0.10001 0.09997 0.09994 ``` `get_RC()` 함수를 통해 위험기여도를 확인해보면, 모든 자산이 거의 동일한 위험기여도를 가지는 것을 알 수 있습니다. @@ -1402,7 +1402,7 @@ print(w) ``` ## SPY IEV EWJ EEM TLT IEF IYR RWX -## 0.0843 0.0663 0.0781 0.0529 0.1823 0.3934 0.0197 0.0250 +## 0.0843 0.0663 0.0781 0.0529 0.1824 0.3934 0.0197 0.0250 ## GLD DBC ## 0.0543 0.0437 ``` @@ -1415,8 +1415,8 @@ get_RC(w, covmat) ``` ``` -## [1] 0.15006 0.15000 0.15007 0.15003 0.09989 0.09991 -## [7] 0.05009 0.04995 0.05003 0.04997 +## [1] 0.15002 0.14999 0.15005 0.15000 0.09996 0.09994 +## [7] 0.05008 0.04995 0.05003 0.04997 ``` `get_RC()` 함수를 통해 위험기여도를 확인해보면 우리가 원하던 자산별 위험예산과 거의 동일한 것을 알 수 있습니다. diff --git a/docs/12-backtest.md b/docs/12-backtest.md index d0f2de4f..e3728ae3 100644 --- a/docs/12-backtest.md +++ b/docs/12-backtest.md @@ -395,7 +395,7 @@ print(ep) ## [131] 2727 2748 2768 2789 2808 2829 2850 2872 2893 2914 ## [141] 2937 2956 2979 3000 3019 3040 3059 3080 3101 3123 ## [151] 3143 3165 3187 3207 3230 3250 3271 3292 3311 3333 -## [161] 3354 3374 3396 3418 3439 3460 3482 3502 3516 +## [161] 3354 3374 3396 3418 3439 3460 3482 3502 3518 ``` ```r diff --git a/docs/index.html b/docs/index.html index 05a95677..783e1ab7 100644 --- a/docs/index.html +++ b/docs/index.html @@ -24,7 +24,7 @@ - + @@ -360,7 +360,7 @@

Welcome

diff --git a/docs/index.md b/docs/index.md index 76fda7fa..afbaa9b8 100644 --- a/docs/index.md +++ b/docs/index.md @@ -1,7 +1,7 @@ --- title: "R을 이용한 퀀트 투자 포트폴리오 만들기" author: "이현열" -date: "2020-12-20" +date: "2020-12-23" output: bookdown::gitbook: includes: diff --git a/docs/search_index.json b/docs/search_index.json index 5a30e98d..545f66ff 100644 --- a/docs/search_index.json +++ b/docs/search_index.json @@ -1,3 +1,3 @@ [ -["index.html", "R을 이용한 퀀트 투자 포트폴리오 만들기 Welcome 지은이 소개 머리말 이 책의 구성 이 책에서 다루지 않은 주제 도움이 될 만한 자료들 이 책의 지원 페이지 종목과 관련된 유의사항 세션정보", " R을 이용한 퀀트 투자 포트폴리오 만들기 이현열 2020-12-20 Welcome R을 이용한 퀀트 투자 포트폴리오 만들기 구매 링크 본 페이지는 R을 이용한 퀀트 투자 포트폴리오 만들기의 웹사이트 입니다. 책의 수정 사항이 있을시 즉시 반영할 예정이며, 책에서 다루지 못했던 추가적인 내용도 지속적으로 업데이트 할 예정입니다. 패스트캠퍼스에서 본 책의 내용을 바탕으로 강의가 진행중이니, 수강을 원하시는 분은 참조하시기 바랍니다. 강의 링크 책 발간 이후 업데이트 내용은 다음과 같습니다. 2020년 9월 26일: 5장 [한국거래소의 산업별 현황 및 개별지표 크롤링] 부분이 R 4.0 이상 버젼에서 잘 작동하지 않는 문제가 발생하고 있습니다. R 3.6 버젼에서 실행해주시길 바랍니다. (https://rstudio.cloud/ 에서는 원하는 R 버젼으로 프로그램 실행이 가능합니다.) 해당 버젼에서도 안될 경우 session을 재시작하면 제대로 실행이 됩니다. 2020년 9월 26일: 4장 [기업공시채널에서 오늘의 공시 불러오기]에서 POST 부분의 url이 기존 htt://kind.krx.co.kr/disclosure/todaydisclosure.do* 에서 https://dev-kind.krx.co.kr/disclosure/todaydisclosure.do 로 변경되었습니다. 2020년 4월 27일: 9장 [금융 데이터 수집하기 (심화)]에 [DART의 Open API를 이용한 데이터 수집하기] 챕터를 추가하였습니다. 이를 통해 더욱 다양한 데이터를 수집할 수 있습니다. 2020년 4월 7일: 각 페이지 하단에 질문/답변 기능을 추가하였습니다. 이제 블로그나 이메일, SNS 보다는 웹북에 질문을 남겨주시기 바랍니다. 2020년 3월 22일: 11장 [포트폴리오 구성]에 실무에서 많이 사용되는 인덱스 포트폴리오 및 인핸스드 인덱스 포트폴리오 구성 방법을 추가하였습니다. 2020년 3월 22일: 8장 [데이터 분석 및 시각화하기]에서 종목정보 시각화 이전에 ggplot() 기초 챕터를 추가하였습니다. 이로써 기존에 해당 패키지를 모르던 분도 쉽게 배울수 있도록 하였습니다. 2020년 3월 16일: 9장 [퀀트 전략을 이용한 종목선정 (기본)]과 10장 [퀀트 전략을 이용한 종목선정 (심화)]에서 재무제표를 이용한 전략의 경우, 1~4월에는 최근년도 데이터가 일부 종목에 대해서만 들어옵니다. 따라서 해당 기간에는 전전년도 데이터를 사용해야 하며, 이를 고려하도록 코드를 변경하였습니다. 2020년 3월 15일: 6장 [금융 데이터 수집하기 (심화)]에 [재무제표 및 가치지표 크롤링]에서 사용하는 페이지가 크롤러의 접근을 막음에 따라, user_agent() 를 이용하여 웹브라우저 인자를 추가해 주었습니다. 2020년 1월 19일: 5장의 [거래소 데이터 정리하기] 부분에서 substr() 함수 대신 stringr 패키지의 str_sub() 함수를 사용하여 코드를 훨씬 간결하게 표현했습니다. 또한 종목코드 끝이 0이 아닐 경우 우선주인 점을 이용하여 더욱 쉽게 클렌징 처리를 하였습니다. 2020년 1월 18일: 야후 파이낸스 웹페이지의 구조가 바뀌어 동적 크롤링을 통해서만 데이터 수집이 가능하게 되었습니다. 이는 본 책에서는 다루지 않으므로, 6장 [금융 데이터 수집하기 (심화)]에서 해당 부분을 삭제하였습니다. 지은이 소개 이현열 한양대학교에서 경영학을 전공하고, 카이스트 대학원에서 금융공학 석사 학위를 받았다. 졸업 후 증권사에서 주식운용을, 자산운용사에서 퀀트 포트폴리오 매니저 업무를 거쳐 현재는 보험사에서 데이터 분석 업무를 하고 있으며, 평소 꾸준한 SNS와 블로그 활동으로 퀀트 아이디어 및 백테스트 결과 등을 공유하면서 퀀트 투자의 대중화를 위해 노력하고 있다. 현재 한양대학교 재무금융 박사 과정에 재학 중이며, 패스트캠퍼스에서 R과 퀀트 투자 강의를 맡고 있다. 지은 책으로는 《스마트베타》(2017)가 있다. 머리말 퀀트 투자 중 팩터에 관한 이론적 내용을 다룬 《SMART BETA(스마트 베타): 감정을 이기는 퀀트 투자》(김병규, 이현열, 워터베어프레스, 2017) 출간 이후 강의와 세미나를 통해많은 분들을 만났고, 공통적인 어려움을 느낄 수 있었습니다. 기관 투자자들이 손쉽게 데이터를 구할 수 있는 것과는 다르게, 일반 투자자들은 퀀트 투자를 하기 위한 데이터를 구하는 시작점부터 어려움을 겪는다는 것이었습니다. 이러한 문제로 어려움을 겪고 있는 분들에게 도움을 드리고자 HenryQuant 패키지를 만들어 배포했습니다. HenryQuant 패키지는 투자에 필요한 각종 데이터를 크롤링하여 수집하는 패키지로, 다행히 많은 분이 애용해주시고 있습니다. 이처럼 프로그래밍을 이용하면 일반 투자자들도 얼마든지 금융 데이터 수집 및 처리, 퀀트 모델 개발, 포트폴리오 분석 및 자동화 등이 가능합니다. 이 책을 읽는 독자분들이 스스로 이러한 퀀트 투자 프로세스를 만들 수 있기를 바라는 마음으로 책을 구성했습니다. 또한 실제 전문 투자자들이 사용하는 기술들도 포함했으니 책의 내용을 넘어 더욱 훌륭한 모델을 만드는 데 도움이 되길 기원합니다. 2019년 8월 이현열(leebisu@gmail.com) 이 책의 구성 이 책은 API와 크롤링을 통한 금융 데이터 수집, 투자 종목 선택 및 포트폴리오 구성, 백테스트와 성과 분석으로 이루어져 있습니다. CHAPTER 1 퀀트 투자의 심장: 데이터와 프로그래밍 퀀트 투자란 무엇인지, 왜 프로그래밍이 필요한지, 여러 언어 중 R을 사용해야 하는 이유에 대해 살펴봅니다. CHAPTER 2 크롤링을 위한 기본 지식 크롤링을 통한 데이터 수집에 앞서 인코딩, 웹의 동작 방식, HTML에 대한 기본 정보와 데이터 처리에 편리한 R 코드를 살펴봅니다. CHAPTER 3 API를 이용한 데이터 수집 API를 통한 데이터 수집과 getSymbols() 함수의 사용 방법에 대해 살펴봅니다. CHAPTER 4 크롤링 이해하기 크롤링이 무엇인가에 대해 살펴보며, GET과 POST 방식을 이용한 간단한 예제를 살펴봅니다. CHAPTER 5 금융 데이터 수집하기 기본 한국거래소에서 제공하는 데이터를 크롤링하는 방법, 섹터의 구성종목을 수집하는 방법에 대해 살펴봅니다. CHAPTER 6 금융 데이터 수집하기 심화 퀀트 투자의 핵심 자료인 수정주가, 재무제표 및 가치지표를 크롤링하는 방법을 살펴봅니다. CHAPTER 7 데이터 정리하기 앞에서 수집한 주가, 재무제표, 가치지표를 하나의 파일로 정리하는 방법을 살펴봅니다. CHAPTER 8 데이터 분석 및 시각화하기 수집한 데이터를 바탕으로 dplyr 패키지를 이용한 데이터 분석 및 ggplot2 패키지를 이용한 데이터 시각화, 인터랙티브 그래프를 나타내는 방법을 살펴봅니다. CHAPTER 9 퀀트 전략을 이용한 종목 선정 기본 베타에 대한 이해 및 기본적 팩터인 저변동성, 모멘텀, 밸류, 퀄리티를 이용한 종목 선정에 대해 살펴봅니다. CHAPTER 10 퀀트 전략을 이용한 종목 선정 심화 단순 종목 선정을 넘어 실무에서 사용되는 섹터 중립 포트폴리오 및 이상치 제거와 팩터 결합 방법, 마법공식 및 멀티팩터에 대해 살펴봅니다. CHAPTER 11 포트폴리오 구성 최적화 패키지를 이용한 포트폴리오 구성에서 가장 대중적으로 사용되는 최소분산 포트폴리오, 최대분산효과 포트폴리오, 위험균형 포트폴리오를 구현합니다. 또한 실무에서 많이 사용되는 인덱스 포트폴리오 및 인핸스드 인덱스 포트폴리오 구성 방법을 살펴봅니다. CHAPTER 12 포트폴리오 백테스트 Return.portfolio() 함수를 이용한 백테스트 방법에 대해 살펴보겠습니다. CHAPTER 13 성과 및 위험 평가 포트폴리오의 수익률을 바탕으로 성과 및 위험 평가에 사용되는 각종 지표에 대해 알아보며, 4팩터 회귀분석을 통한 요인 분석을 실행합니다. 이 책에서 다루지 않은 주제 이 책은 R을 기본적으로 사용할 줄 아는 독자를 대상으로 작성되었습니다. 따라서 내용의 효율적 전달을 위해 R과 R Studio 설치, 기초적인 프로그래밍 등의 내용은 생략했습니다. 따라서 프로그래밍을 처음 접하는 독자라면 프로그래밍 기초를 먼저 익히신후 본 책을 읽으시길 추천드립니다. 또한 이 책에서는 프로그램 언어로 R을 이용했기 때문에 Python 혹은 다른 언어를 사용하는 분들에게는 직접적으로 도움이 되지 않을 수 있다고 생각할 수 있습니다. 그러나 투자에 필요한 금융 데이터 수집을 어디서 어떻게 하는지, 종목 선택을 어떻게 하고 포트폴리오를 어떻게 구성하는지에 대한 이론적 내용을 이해한 후 본인들이 사용하는 언어로 구현해보는 것도 좋은 도전이 될 것입니다. 도움이 될 만한 자료들 먼저 팩터 투자와 관련하여 심화된 내용을 알고 싶은 분은 저의 이전 책 및 책에서 인용된 논문을 읽어볼 것을 권합니다. R 프로그래밍과 관련하여 기초부터 tidyverse 패키지까지 이해하는 데 도움이 될만한 책 목록은 다음과 같습니다. 《SMART BETA(스마트 베타): 감정을 이기는 퀀트 투자》(김병규, 이현열, 워터베어프레스, 2017) 《손에 잡히는 R 프로그래밍》(가렛 그롤먼드, 한빛미디어, 2015) 《R Cookbook》(폴 티터, 인사이트, 2012) 《R을 활용한 데이터 과학》(해들리 위컴, 개럿 그롤문드, 인사이트, 2019) 《Do it! 쉽게 배우는 R 데이터 분석》(김영우, 이지스퍼블리싱, 2017) 《ggplot2: R로 분석한 데이터를 멋진 그래픽으로》(해들리 위컴, 프리렉, 2017) 이 책의 지원 페이지 이 책은 R의 bookdown 패키지로 작성되어 웹페이지 및 GitHub 저장소에 공유되어 있습니다. 따라서 책에 포함되어 있는 각종 코드를 웹페이지에 방문하여 얻으실 수 있습니다. 웹페이지: https://hyunyulhenry.github.io/quant_cookbook GitHub 저장소: https://github.com/hyunyulhenry/quant_cookbook 크롤링 대상 웹페이지의 구조가 바뀌어 코드의 수정이 필요할 경우 즉각적으로 반영할 것이며, 인쇄본에서 다루지 않은 내용도 추가적으로 업데이트될 예정입니다. 또한 bookdown 패키지를 이용하여 책을 집필하고자 하는 분들에게도 많은 도움이 될 것입 니다. 이 외에도 퀀트 투자 혹은 R을 이용한 투자 활용법 등의 내용은 저자의 블로그에 많은글들이 있으니 참조하기 바랍니다. Henry’s Quantopia: http://henryquant.blogspot.com 종목과 관련된 유의사항 팩터 모델을 이용한 종목 선택과 관련된 CHAPTER에서는 해당 조건으로 선택된 종목들이 나열되어 있습니다. 그러나 이는 해당 종목에 대한 매수 추천이 아님을 밝히며, 데이터를 받은 시점의 종목이기에 독자 여러분이 책을 읽는 시점에서 선택된 종목과는 상당한 차이가 있습니다. 또한 이 책에서 다루는 모델을 이용하여 투자를 할 경우, 이로 인한 이익과 손해는 본인에게 귀속됨을 알립니다. 세션정보 본 책에서 사용된 R 버젼 및 각종 정보는 다음과 같습니다. ## R version 3.6.3 (2020-02-29) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 16.04.7 LTS ## ## Matrix products: default ## BLAS: /usr/lib/atlas-base/atlas/libblas.so.3.0 ## LAPACK: /usr/lib/atlas-base/atlas/liblapack.so.3.0 ## ## locale: ## [1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=C.UTF-8 LC_COLLATE=C.UTF-8 ## [5] LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8 ## [7] LC_PAPER=C.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] stats graphics grDevices utils datasets ## [6] methods base ## ## other attached packages: ## [1] showtext_0.9 showtextdb_3.0 sysfonts_0.8.1 ## ## loaded via a namespace (and not attached): ## [1] compiler_3.6.3 magrittr_1.5 bookdown_0.20 ## [4] htmltools_0.5.0 tools_3.6.3 yaml_2.2.1 ## [7] stringi_1.5.3 rmarkdown_2.3 knitr_1.30 ## [10] stringr_1.4.0 digest_0.6.25 xfun_0.17 ## [13] rlang_0.4.7 evaluate_0.14 "] +["index.html", "R을 이용한 퀀트 투자 포트폴리오 만들기 Welcome 지은이 소개 머리말 이 책의 구성 이 책에서 다루지 않은 주제 도움이 될 만한 자료들 이 책의 지원 페이지 종목과 관련된 유의사항 세션정보", " R을 이용한 퀀트 투자 포트폴리오 만들기 이현열 2020-12-23 Welcome R을 이용한 퀀트 투자 포트폴리오 만들기 구매 링크 본 페이지는 R을 이용한 퀀트 투자 포트폴리오 만들기의 웹사이트 입니다. 책의 수정 사항이 있을시 즉시 반영할 예정이며, 책에서 다루지 못했던 추가적인 내용도 지속적으로 업데이트 할 예정입니다. 패스트캠퍼스에서 본 책의 내용을 바탕으로 강의가 진행중이니, 수강을 원하시는 분은 참조하시기 바랍니다. 강의 링크 책 발간 이후 업데이트 내용은 다음과 같습니다. 2020년 9월 26일: 5장 [한국거래소의 산업별 현황 및 개별지표 크롤링] 부분이 R 4.0 이상 버젼에서 잘 작동하지 않는 문제가 발생하고 있습니다. R 3.6 버젼에서 실행해주시길 바랍니다. (https://rstudio.cloud/ 에서는 원하는 R 버젼으로 프로그램 실행이 가능합니다.) 해당 버젼에서도 안될 경우 session을 재시작하면 제대로 실행이 됩니다. 2020년 9월 26일: 4장 [기업공시채널에서 오늘의 공시 불러오기]에서 POST 부분의 url이 기존 htt://kind.krx.co.kr/disclosure/todaydisclosure.do* 에서 https://dev-kind.krx.co.kr/disclosure/todaydisclosure.do 로 변경되었습니다. 2020년 4월 27일: 9장 [금융 데이터 수집하기 (심화)]에 [DART의 Open API를 이용한 데이터 수집하기] 챕터를 추가하였습니다. 이를 통해 더욱 다양한 데이터를 수집할 수 있습니다. 2020년 4월 7일: 각 페이지 하단에 질문/답변 기능을 추가하였습니다. 이제 블로그나 이메일, SNS 보다는 웹북에 질문을 남겨주시기 바랍니다. 2020년 3월 22일: 11장 [포트폴리오 구성]에 실무에서 많이 사용되는 인덱스 포트폴리오 및 인핸스드 인덱스 포트폴리오 구성 방법을 추가하였습니다. 2020년 3월 22일: 8장 [데이터 분석 및 시각화하기]에서 종목정보 시각화 이전에 ggplot() 기초 챕터를 추가하였습니다. 이로써 기존에 해당 패키지를 모르던 분도 쉽게 배울수 있도록 하였습니다. 2020년 3월 16일: 9장 [퀀트 전략을 이용한 종목선정 (기본)]과 10장 [퀀트 전략을 이용한 종목선정 (심화)]에서 재무제표를 이용한 전략의 경우, 1~4월에는 최근년도 데이터가 일부 종목에 대해서만 들어옵니다. 따라서 해당 기간에는 전전년도 데이터를 사용해야 하며, 이를 고려하도록 코드를 변경하였습니다. 2020년 3월 15일: 6장 [금융 데이터 수집하기 (심화)]에 [재무제표 및 가치지표 크롤링]에서 사용하는 페이지가 크롤러의 접근을 막음에 따라, user_agent() 를 이용하여 웹브라우저 인자를 추가해 주었습니다. 2020년 1월 19일: 5장의 [거래소 데이터 정리하기] 부분에서 substr() 함수 대신 stringr 패키지의 str_sub() 함수를 사용하여 코드를 훨씬 간결하게 표현했습니다. 또한 종목코드 끝이 0이 아닐 경우 우선주인 점을 이용하여 더욱 쉽게 클렌징 처리를 하였습니다. 2020년 1월 18일: 야후 파이낸스 웹페이지의 구조가 바뀌어 동적 크롤링을 통해서만 데이터 수집이 가능하게 되었습니다. 이는 본 책에서는 다루지 않으므로, 6장 [금융 데이터 수집하기 (심화)]에서 해당 부분을 삭제하였습니다. 지은이 소개 이현열 한양대학교에서 경영학을 전공하고, 카이스트 대학원에서 금융공학 석사 학위를 받았다. 졸업 후 증권사에서 주식운용을, 자산운용사에서 퀀트 포트폴리오 매니저 업무를 거쳐 현재는 보험사에서 데이터 분석 업무를 하고 있으며, 평소 꾸준한 SNS와 블로그 활동으로 퀀트 아이디어 및 백테스트 결과 등을 공유하면서 퀀트 투자의 대중화를 위해 노력하고 있다. 현재 한양대학교 재무금융 박사 과정에 재학 중이며, 패스트캠퍼스에서 R과 퀀트 투자 강의를 맡고 있다. 지은 책으로는 《스마트베타》(2017)가 있다. 머리말 퀀트 투자 중 팩터에 관한 이론적 내용을 다룬 《SMART BETA(스마트 베타): 감정을 이기는 퀀트 투자》(김병규, 이현열, 워터베어프레스, 2017) 출간 이후 강의와 세미나를 통해많은 분들을 만났고, 공통적인 어려움을 느낄 수 있었습니다. 기관 투자자들이 손쉽게 데이터를 구할 수 있는 것과는 다르게, 일반 투자자들은 퀀트 투자를 하기 위한 데이터를 구하는 시작점부터 어려움을 겪는다는 것이었습니다. 이러한 문제로 어려움을 겪고 있는 분들에게 도움을 드리고자 HenryQuant 패키지를 만들어 배포했습니다. HenryQuant 패키지는 투자에 필요한 각종 데이터를 크롤링하여 수집하는 패키지로, 다행히 많은 분이 애용해주시고 있습니다. 이처럼 프로그래밍을 이용하면 일반 투자자들도 얼마든지 금융 데이터 수집 및 처리, 퀀트 모델 개발, 포트폴리오 분석 및 자동화 등이 가능합니다. 이 책을 읽는 독자분들이 스스로 이러한 퀀트 투자 프로세스를 만들 수 있기를 바라는 마음으로 책을 구성했습니다. 또한 실제 전문 투자자들이 사용하는 기술들도 포함했으니 책의 내용을 넘어 더욱 훌륭한 모델을 만드는 데 도움이 되길 기원합니다. 2019년 8월 이현열(leebisu@gmail.com) 이 책의 구성 이 책은 API와 크롤링을 통한 금융 데이터 수집, 투자 종목 선택 및 포트폴리오 구성, 백테스트와 성과 분석으로 이루어져 있습니다. CHAPTER 1 퀀트 투자의 심장: 데이터와 프로그래밍 퀀트 투자란 무엇인지, 왜 프로그래밍이 필요한지, 여러 언어 중 R을 사용해야 하는 이유에 대해 살펴봅니다. CHAPTER 2 크롤링을 위한 기본 지식 크롤링을 통한 데이터 수집에 앞서 인코딩, 웹의 동작 방식, HTML에 대한 기본 정보와 데이터 처리에 편리한 R 코드를 살펴봅니다. CHAPTER 3 API를 이용한 데이터 수집 API를 통한 데이터 수집과 getSymbols() 함수의 사용 방법에 대해 살펴봅니다. CHAPTER 4 크롤링 이해하기 크롤링이 무엇인가에 대해 살펴보며, GET과 POST 방식을 이용한 간단한 예제를 살펴봅니다. CHAPTER 5 금융 데이터 수집하기 기본 한국거래소에서 제공하는 데이터를 크롤링하는 방법, 섹터의 구성종목을 수집하는 방법에 대해 살펴봅니다. CHAPTER 6 금융 데이터 수집하기 심화 퀀트 투자의 핵심 자료인 수정주가, 재무제표 및 가치지표를 크롤링하는 방법을 살펴봅니다. CHAPTER 7 데이터 정리하기 앞에서 수집한 주가, 재무제표, 가치지표를 하나의 파일로 정리하는 방법을 살펴봅니다. CHAPTER 8 데이터 분석 및 시각화하기 수집한 데이터를 바탕으로 dplyr 패키지를 이용한 데이터 분석 및 ggplot2 패키지를 이용한 데이터 시각화, 인터랙티브 그래프를 나타내는 방법을 살펴봅니다. CHAPTER 9 퀀트 전략을 이용한 종목 선정 기본 베타에 대한 이해 및 기본적 팩터인 저변동성, 모멘텀, 밸류, 퀄리티를 이용한 종목 선정에 대해 살펴봅니다. CHAPTER 10 퀀트 전략을 이용한 종목 선정 심화 단순 종목 선정을 넘어 실무에서 사용되는 섹터 중립 포트폴리오 및 이상치 제거와 팩터 결합 방법, 마법공식 및 멀티팩터에 대해 살펴봅니다. CHAPTER 11 포트폴리오 구성 최적화 패키지를 이용한 포트폴리오 구성에서 가장 대중적으로 사용되는 최소분산 포트폴리오, 최대분산효과 포트폴리오, 위험균형 포트폴리오를 구현합니다. 또한 실무에서 많이 사용되는 인덱스 포트폴리오 및 인핸스드 인덱스 포트폴리오 구성 방법을 살펴봅니다. CHAPTER 12 포트폴리오 백테스트 Return.portfolio() 함수를 이용한 백테스트 방법에 대해 살펴보겠습니다. CHAPTER 13 성과 및 위험 평가 포트폴리오의 수익률을 바탕으로 성과 및 위험 평가에 사용되는 각종 지표에 대해 알아보며, 4팩터 회귀분석을 통한 요인 분석을 실행합니다. 이 책에서 다루지 않은 주제 이 책은 R을 기본적으로 사용할 줄 아는 독자를 대상으로 작성되었습니다. 따라서 내용의 효율적 전달을 위해 R과 R Studio 설치, 기초적인 프로그래밍 등의 내용은 생략했습니다. 따라서 프로그래밍을 처음 접하는 독자라면 프로그래밍 기초를 먼저 익히신후 본 책을 읽으시길 추천드립니다. 또한 이 책에서는 프로그램 언어로 R을 이용했기 때문에 Python 혹은 다른 언어를 사용하는 분들에게는 직접적으로 도움이 되지 않을 수 있다고 생각할 수 있습니다. 그러나 투자에 필요한 금융 데이터 수집을 어디서 어떻게 하는지, 종목 선택을 어떻게 하고 포트폴리오를 어떻게 구성하는지에 대한 이론적 내용을 이해한 후 본인들이 사용하는 언어로 구현해보는 것도 좋은 도전이 될 것입니다. 도움이 될 만한 자료들 먼저 팩터 투자와 관련하여 심화된 내용을 알고 싶은 분은 저의 이전 책 및 책에서 인용된 논문을 읽어볼 것을 권합니다. R 프로그래밍과 관련하여 기초부터 tidyverse 패키지까지 이해하는 데 도움이 될만한 책 목록은 다음과 같습니다. 《SMART BETA(스마트 베타): 감정을 이기는 퀀트 투자》(김병규, 이현열, 워터베어프레스, 2017) 《손에 잡히는 R 프로그래밍》(가렛 그롤먼드, 한빛미디어, 2015) 《R Cookbook》(폴 티터, 인사이트, 2012) 《R을 활용한 데이터 과학》(해들리 위컴, 개럿 그롤문드, 인사이트, 2019) 《Do it! 쉽게 배우는 R 데이터 분석》(김영우, 이지스퍼블리싱, 2017) 《ggplot2: R로 분석한 데이터를 멋진 그래픽으로》(해들리 위컴, 프리렉, 2017) 이 책의 지원 페이지 이 책은 R의 bookdown 패키지로 작성되어 웹페이지 및 GitHub 저장소에 공유되어 있습니다. 따라서 책에 포함되어 있는 각종 코드를 웹페이지에 방문하여 얻으실 수 있습니다. 웹페이지: https://hyunyulhenry.github.io/quant_cookbook GitHub 저장소: https://github.com/hyunyulhenry/quant_cookbook 크롤링 대상 웹페이지의 구조가 바뀌어 코드의 수정이 필요할 경우 즉각적으로 반영할 것이며, 인쇄본에서 다루지 않은 내용도 추가적으로 업데이트될 예정입니다. 또한 bookdown 패키지를 이용하여 책을 집필하고자 하는 분들에게도 많은 도움이 될 것입 니다. 이 외에도 퀀트 투자 혹은 R을 이용한 투자 활용법 등의 내용은 저자의 블로그에 많은글들이 있으니 참조하기 바랍니다. Henry’s Quantopia: http://henryquant.blogspot.com 종목과 관련된 유의사항 팩터 모델을 이용한 종목 선택과 관련된 CHAPTER에서는 해당 조건으로 선택된 종목들이 나열되어 있습니다. 그러나 이는 해당 종목에 대한 매수 추천이 아님을 밝히며, 데이터를 받은 시점의 종목이기에 독자 여러분이 책을 읽는 시점에서 선택된 종목과는 상당한 차이가 있습니다. 또한 이 책에서 다루는 모델을 이용하여 투자를 할 경우, 이로 인한 이익과 손해는 본인에게 귀속됨을 알립니다. 세션정보 본 책에서 사용된 R 버젼 및 각종 정보는 다음과 같습니다. ## R version 3.6.3 (2020-02-29) ## Platform: x86_64-pc-linux-gnu (64-bit) ## Running under: Ubuntu 16.04.7 LTS ## ## Matrix products: default ## BLAS: /usr/lib/atlas-base/atlas/libblas.so.3.0 ## LAPACK: /usr/lib/atlas-base/atlas/liblapack.so.3.0 ## ## locale: ## [1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C ## [3] LC_TIME=C.UTF-8 LC_COLLATE=C.UTF-8 ## [5] LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8 ## [7] LC_PAPER=C.UTF-8 LC_NAME=C ## [9] LC_ADDRESS=C LC_TELEPHONE=C ## [11] LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C ## ## attached base packages: ## [1] stats graphics grDevices utils datasets ## [6] methods base ## ## other attached packages: ## [1] showtext_0.9 showtextdb_3.0 sysfonts_0.8.1 ## ## loaded via a namespace (and not attached): ## [1] compiler_3.6.3 magrittr_1.5 bookdown_0.20 ## [4] htmltools_0.5.0 tools_3.6.3 yaml_2.2.1 ## [7] stringi_1.5.3 rmarkdown_2.3 knitr_1.30 ## [10] stringr_1.4.0 digest_0.6.25 xfun_0.17 ## [13] rlang_0.4.7 evaluate_0.14 "] ]

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