Administrator
2024-02-05 8c7f84cbd0afde7600b0c67a8032fa19c57d8c41
test/test_code_attribute.py
@@ -1,25 +1,30 @@
from code_attribute import code_nature_analyse
from utils import init_data_util
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_price_too_high_in_days(datas, limit_up_price)
    is_new_high = code_nature_analyse.is_up_too_high_from_latest_limit_up(datas)
    return is_new_high
def __get_refer_volume_info():
    code = "001239"
    limit_up_price = 22.80
    volumes_data = init_data_util.get_volumns_by_code(code, 150)
    volumes = init_data_util.parse_max_volume(volumes_data[:90],
                                              code_nature_analyse.is_new_top(
                                                  limit_up_price,
                                                  volumes_data[:90]) or code_nature_analyse.is_near_top(
                                                  limit_up_price,
                                                  volumes_data[:90]))
    print(volumes)
if __name__ == "__main__":
    code_str = "000536,000625,000628,000670,000766,000829,001311,001331,002189,002275,002331,002341,002363,002406,002416,002655,002691,002848,002861,002885,002906,002917,002962,300217,300462,300552,301111,301215,301372,600107,600178,600222,600288,600513,600698,600960,601777,603029,603286,603297,603569,605020,688314,688789"
    codes = code_str.split(",")
    for code in codes:
        if code.find("00") != 0 and code.find("60") != 0:
            continue
        try:
            datas = init_data_util.get_volumns_by_code(code, 120)
            datas = datas[3:]
            result = is_too_high(datas)
            if result:
                print(code, result)
        except:
            print(code, "出错")
    __get_refer_volume_info()
    # 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))