参考高量修改

Administrator

2025-01-10 e873754da5553e9ed7b76caccf3211483fe608f7

参考高量修改

 code_attribute/first_target_code_data_processor.py

@@ -110,14 +110,7 @@
                    async_log_util.info(logger_l2_codes_subscript, f"{request_id}从网络加载K线数据：{code}")
                if not volumes_data:
                    continue
                volumes = init_data_util.parse_max_volume(code, volumes_data[:90],
                                                          code_nature_analyse.is_new_top(code,
                                                                                         limit_up_price,
                                                                                         volumes_data[
                                                                                         :90]) or code_nature_analyse.is_near_top(
                                                              code,
                                                              limit_up_price,
                                                              volumes_data[:90]))
                volumes = init_data_util.parse_max_volume_new(code, volumes_data[:60])
                max_volume_in_5_days = init_data_util.parse_max_volume_in_days(volumes_data, 5)

                async_log_util.info(logger_first_code_record, f"{code} 获取到首板60天最大量：{volumes}")

 utils/init_data_util.py

@@ -62,6 +62,49 @@
        "%Y-%m-%d"), refer_index


def parse_max_volume_new(code, datas):
    """
    计算远高量
    @param code:
    @param datas:
    @return: [高量,高量,高量日期,高量索引]
    """

    def __is_limited_up(item):
        limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(code, item["pre_close"]))
        if abs(limit_up_price - item["high"]) < 0.001:
            return True
        return False

    # 取最近60个交易日
    datas = datas[:60]

    # 判断是否涨停过
    target_index = None
    for i in range(len(datas)):
        data = datas[i]
        if __is_limited_up(data):
            next_data = None
            if i > 0:
                next_data = datas[i - 1]
            # max（涨停这一天, 后一天）的量
            if next_data and next_data['volume'] > data['volume']:
                target_index = i - 1
            else:
                target_index = i
            break
    if target_index is None:
        # 60天未涨停,获取60天内的最高量
        for i in range(len(datas)):
            data = datas[i]
            if target_index is None:
                target_index = i
            if data['volume'] > datas[target_index]['volume']:
                target_index = i
    return datas[target_index]['volume'], datas[target_index]['volume'], datas[target_index]['bob'].strftime(
        "%Y-%m-%d"), target_index


def parse_max_volume_in_days(datas, max_day):
    """
    解析最近几天最大的量