取得股票历史数据时，若是klt为分钟的分时数据，能否加入时间段参数？

def get_quote_history(stock_codes: Union[str, List[str]],
beg: str = '19000101',
end: str = '20500101',
klt: int = 101,
fqt: int = 1) -> Union[pd.DataFrame, Dict[str, pd.DataFrame]]:

比如klt=30，那每天也就8条数据，但获取数据时，比如，我仅想获取10:30的数据，其他条暂时不要，可否再加入时间Time的beg和end参数？

Start at the get_quote_history function shown in the issue and trace how klt, beg, and end are passed to the historical-data request. Define how time-of-day bounds should work for minute data while preserving the existing date parameters; done means the requested interval returns only matching records.

Written by the indexing model from the issue text.