"""
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策略分析
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"""
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import datetime
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from db.mysql_data_delegate import Mysqldb
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from third_data import history_k_data_util
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from utils import tool
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def __load_limit_up_records(day):
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mysql = Mysqldb()
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datas = mysql.select_all(f"select * from kpl_limit_up_record where _day = '{day}'")
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return datas
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if __name__ == '__main__':
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dates = history_k_data_util.HistoryKDatasUtils.get_trading_dates("2024-05-01", "2024-08-19")
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datas_dict = {}
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for day in dates:
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datas = __load_limit_up_records(day)
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# 将数据根据涨停原因聚合
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temp_dict = {}
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for d in datas:
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if d[2] not in temp_dict:
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temp_dict[d[2]] = []
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temp_dict[d[2]].append(d)
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datas_dict[day] = temp_dict
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# 统计前面7天的所有板块
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datas_list = [(x, datas_dict[x]) for x in datas_dict]
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SD = 7
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for i in range(SD, len(datas_list)):
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fblocks = set()
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for j in range(1, SD + 1):
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blocks = set(datas_list[i - j][1].keys())
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fblocks |= blocks
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c_blocks = datas_list[i][1].keys()
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first_limit_up_fblocks = c_blocks - fblocks
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print(f"-------------[{datas_list[i][0]}]--------------")
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for b in first_limit_up_fblocks:
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codes_list = [(x[3], x[4], x[12], datetime.datetime.fromtimestamp(int(x[5])).strftime('%H:%M:%S')) for x in
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datas_list[i][1][b]]
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if len(codes_list) >= 2:
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print(b, codes_list)
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print(len(datas_dict))
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