| load_all_tickers | Loads all ticker symbols and names for KOSPI and KOSDAQ into memory. Returns:
Dict[str, str]: A dictionary mapping tickers to stock names.
Example: {"005930": "삼성전자", "035720": "카카오", ...} |
| get_stock_ohlcv | Retrieves OHLCV (Open/High/Low/Close/Volume) data for a specific stock. Args:
fromdate (str): Start date for retrieval (YYYYMMDD)
todate (str): End date for retrieval (YYYYMMDD)
ticker (str): Stock ticker symbol
adjusted (bool, optional): Whether to use adjusted prices (True: adjusted, False: unadjusted). Defaults to True.
Returns:
DataFrame:
>> get_stock_ohlcv("20210118", "20210126", "005930")
Open High Low Close Volume
Date
2021-01-26 89500 94800 89500 93800 46415214
2021-01-25 87300 89400 86800 88700 25577517
2021-01-22 89000 89700 86800 86800 30861661
2021-01-21 87500 88600 86500 88100 25318011
2021-01-20 89000 89000 86500 87200 25211127
2021-01-19 84500 88000 83600 87000 39895044
2021-01-18 86600 87300 84100 85000 43227951 |
| get_stock_market_cap | Retrieves market capitalization data for a specific stock. Args:
fromdate (str): Start date for retrieval (YYYYMMDD)
todate (str): End date for retrieval (YYYYMMDD)
ticker (str): Stock ticker symbol
Returns:
DataFrame:
>> get_stock_market_cap("20150720", "20150724", "005930")
Market Cap Volume Trading Value Listed Shares
Date
2015-07-24 181030885173000 196584 241383636000 147299337
2015-07-23 181767381858000 208965 259446564000 147299337
2015-07-22 184566069261000 268323 333813094000 147299337
2015-07-21 186039062631000 194055 244129106000 147299337
2015-07-20 187806654675000 128928 165366199000 147299337 |
| get_stock_fundamental | Retrieves fundamental data (PER/PBR/Dividend Yield) for a specific stock. Args:
fromdate (str): Start date for retrieval (YYYYMMDD)
todate (str): End date for retrieval (YYYYMMDD)
ticker (str): Stock ticker symbol
Returns:
DataFrame:
>> get_stock_fundamental("20210104", "20210108", "005930")
BPS PER PBR EPS DIV DPS
Date
2021-01-08 37528 28.046875 2.369141 3166 1.589844 1416
2021-01-07 37528 26.187500 2.210938 3166 1.709961 1416
2021-01-06 37528 25.953125 2.189453 3166 1.719727 1416
2021-01-05 37528 26.500000 2.240234 3166 1.690430 1416
2021-01-04 37528 26.218750 2.210938 3166 1.709961 1416 |
| get_stock_trading_volume | Retrieves trading volume by investor type for a specific stock. Args:
fromdate (str): Start date for retrieval (YYYYMMDD)
todate (str): End date for retrieval (YYYYMMDD)
ticker (str): Stock ticker symbol
Returns:
DataFrame with columns:
- Volume (Sell/Buy/Net Buy)
- Trading Value (Sell/Buy/Net Buy)
Broken down by investor types (Financial Investment, Insurance, Trust, etc.) |