initial commit

2026-01-31 22:34:57 +09:00
commit f1301de543
875 changed files with 196598 additions and 0 deletions
--- a/한국투자증권(API)/examples_llm/overseas_stock/new_highlow/new_highlow.py
+++ b/한국투자증권(API)/examples_llm/overseas_stock/new_highlow/new_highlow.py
@@ -0,0 +1,134 @@
+"""
+Created on 20250112 
+"""
+
+
+import sys
+import time
+from typing import Optional, Tuple
+import logging
+
+import pandas as pd
+
+sys.path.extend(['../..', '.'])
+import kis_auth as ka
+
+# 로깅 설정
+logging.basicConfig(level=logging.INFO)
+
+##############################################################################################
+# [해외주식] 시세분석 > 해외주식 신고/신저가[해외주식-042]
+##############################################################################################
+
+# 상수 정의
+API_URL = "/uapi/overseas-stock/v1/ranking/new-highlow"
+
+def new_highlow(
+    excd: str,  # [필수] 거래소명 (ex. NYS:뉴욕, NAS:나스닥, AMS:아멕스, HKS:홍콩, SHS:상해, SZS:심천, HSX:호치민, HNX:하노이, TSE:도쿄)
+    mixn: str,  # [필수] N분전콤보값 (ex. 0:1분전, 1:2분전, 2:3분전, 3:5분전, 4:10분전, 5:15분전, 6:20분전, 7:30분전, 8:60분전, 9:120분전)
+    vol_rang: str,  # [필수] 거래량조건 (ex. 0:전체, 1:1백주이상, 2:1천주이상, 3:1만주이상, 4:10만주이상, 5:100만주이상, 6:1000만주이상)
+    gubn: str,  # [필수] 신고/신저 구분 (ex. 0:신저,1:신고)
+    gubn2: str,  # [필수] 일시돌파/돌파 구분 (ex. 0:일시돌파0, 1:돌파유지1)
+    keyb: str = "",  # NEXT KEY BUFF
+    auth: str = "",  # 사용자권한정보
+    tr_cont: str = "",  # 연속거래여부
+    dataframe1: Optional[pd.DataFrame] = None,  # 누적 데이터프레임 output1
+    dataframe2: Optional[pd.DataFrame] = None,  # 누적 데이터프레임 output2
+    depth: int = 0,  # 내부 재귀깊이 (자동관리)
+    max_depth: int = 10  # 최대 재귀 횟수 제한
+) -> Tuple[pd.DataFrame, pd.DataFrame]:
+    """
+    [해외주식] 시세분석 > 해외주식 신고/신저가[해외주식-042]
+    해외주식 신고/신저가 정보를 조회하여 DataFrame으로 반환합니다.
+    
+    Args:
+        excd (str): [필수] 거래소명 (ex. NYS:뉴욕, NAS:나스닥, AMS:아멕스, HKS:홍콩, SHS:상해, SZS:심천, HSX:호치민, HNX:하노이, TSE:도쿄)
+        mixn (str): [필수] N분전콤보값 (ex. 0:1분전, 1:2분전, 2:3분전, 3:5분전, 4:10분전, 5:15분전, 6:20분전, 7:30분전, 8:60분전, 9:120분전)
+        vol_rang (str): [필수] 거래량조건 (ex. 0:전체, 1:1백주이상, 2:1천주이상, 3:1만주이상, 4:10만주이상, 5:100만주이상, 6:1000만주이상)
+        gubn (str): [필수] 신고/신저 구분 (ex. 0:신저,1:신고)
+        gubn2 (str): [필수] 일시돌파/돌파 구분 (ex. 0:일시돌파0, 1:돌파유지1)
+        keyb (str): NEXT KEY BUFF
+        auth (str): 사용자권한정보
+        tr_cont (str): 연속거래여부
+        dataframe1 (Optional[pd.DataFrame]): 누적 데이터프레임 output1
+        dataframe2 (Optional[pd.DataFrame]): 누적 데이터프레임 output2
+        depth (int): 내부 재귀깊이 (자동관리)
+        max_depth (int): 최대 재귀 횟수 제한
+
+    Returns:
+        Tuple[pd.DataFrame, pd.DataFrame]: (output1 데이터, output2 데이터)
+        
+    Example:
+        >>> output1, output2 = new_highlow(excd="AMS", mixn="0", vol_rang="0", gubn="1", gubn2="1")
+        >>> print(output1)
+        >>> print(output2)
+    """
+
+    if excd == "":
+        raise ValueError("excd is required (e.g. 'NYS')")
+    
+    if mixn == "":
+        raise ValueError("mixn is required (e.g. '0')")
+    
+    if vol_rang == "":
+        raise ValueError("vol_rang is required (e.g. '0')")
+        
+    if gubn == "":
+        raise ValueError("gubn is required (e.g. '1')")
+        
+    if gubn2 == "":
+        raise ValueError("gubn2 is required (e.g. '1')")
+
+    if depth > max_depth:
+        logging.warning("Max recursive depth reached.")
+        if dataframe1 is None:
+            dataframe1 = pd.DataFrame()
+        if dataframe2 is None:
+            dataframe2 = pd.DataFrame()
+        return dataframe1, dataframe2
+
+    tr_id = "HHDFS76300000"  # 해외주식 신고/신저가
+
+    params = {
+        "EXCD": excd,
+        "MIXN": mixn,
+        "VOL_RANG": vol_rang,
+        "GUBN": gubn,
+        "GUBN2": gubn2,
+        "KEYB": keyb,
+        "AUTH": auth
+    }
+    
+    res = ka._url_fetch(API_URL, tr_id, tr_cont, params)
+    
+    if res.isOK():
+        # output1 처리 (object 타입)
+        current_data1 = pd.DataFrame([res.getBody().output1])
+        
+        if dataframe1 is not None:
+            dataframe1 = pd.concat([dataframe1, current_data1], ignore_index=True)
+        else:
+            dataframe1 = current_data1
+            
+        # output2 처리 (array 타입)
+        current_data2 = pd.DataFrame(res.getBody().output2)
+        
+        if dataframe2 is not None:
+            dataframe2 = pd.concat([dataframe2, current_data2], ignore_index=True)
+        else:
+            dataframe2 = current_data2
+            
+        tr_cont = res.getHeader().tr_cont
+        
+        if tr_cont in ["M", "F"]:  # 다음 페이지 존재
+            logging.info("Call Next page...")
+            ka.smart_sleep()  # 시스템 안정적 운영을 위한 지연
+            return new_highlow(
+                excd, mixn, vol_rang, gubn, gubn2, keyb, auth, "N", dataframe1, dataframe2, depth + 1, max_depth
+            )
+        else:
+            logging.info("Data fetch complete.")
+            return dataframe1, dataframe2
+    else:
+        res.printError(url=API_URL)
+        return pd.DataFrame(), pd.DataFrame()