from code_attribute import code_nature_analyse
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from utils import init_data_util, tool
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def is_too_high(datas):
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limit_up_price = round(datas[0]["close"] * 1.1, 2)
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datas.reverse()
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is_new_high = code_nature_analyse.is_up_too_high_from_latest_limit_up(datas)
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return is_new_high
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if __name__ == "__main__":
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code = "601022"
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volumes_data = init_data_util.get_volumns_by_code(code, 150)
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volumes_data = volumes_data[0:]
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print( code_nature_analyse.is_special(volumes_data))
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