from code_attribute import code_nature_analyse
from utils import init_data_util, tool


def is_too_high(datas):
    limit_up_price = round(datas[0]["close"] * 1.1, 2)
    datas.reverse()
    is_new_high = code_nature_analyse.is_up_too_high_from_latest_limit_up(datas)
    return is_new_high


if __name__ == "__main__":
    code = "601022"
    volumes_data = init_data_util.get_volumns_by_code(code, 150)
    volumes_data = volumes_data[0:]
    print( code_nature_analyse.is_special(volumes_data))