大于200亿的流出不算作净流出

Administrator

2024-12-30 dad46b192e8fc3dcc657877b7189a8d0fe5f4aa7

 third_data/code_plate_key_manager.py

@@ -352,6 +352,22 @@
    __top_jx_out_blocks = []
    # 精选板块流入金额
    __jx_blocks_in_money_dict = {}
    # 市场行情热度，默认为60
    __market_strong = 60

    @classmethod
    def get_jingxuan_in_block_threshold_count(cls):
        """
        获取买精选流入前几
        @return:
        """
        score = 60
        if cls.__market_strong is not None:
            score = int(cls.__market_strong)
        for info in constant.RADICAL_BUY_TOP_IN_COUNT_BY_MARKET_STRONG:
            if info[0] <= score < info[1]:
                return info[2]
        return 10

    @classmethod
    def set_market_jingxuan_blocks(cls, datas):
@@ -361,10 +377,13 @@
        @return:
        """
        # 流入阈值
        THRESHOLD_MONEY = 100 * (tool.trade_time_sub(tool.get_now_time_str(), "09:30:00") // 60) + 1000
        THRESHOLD_MONEY = min(THRESHOLD_MONEY, 10000)
        THRESHOLD_MONEY = max(THRESHOLD_MONEY, 1000)
        THRESHOLD_MONEY = THRESHOLD_MONEY * 10000
        # THRESHOLD_MONEY = 50 * (tool.trade_time_sub(tool.get_now_time_str(), "09:30:00") // 60) + 1000
        # THRESHOLD_MONEY = min(THRESHOLD_MONEY, 10000)
        # THRESHOLD_MONEY = max(THRESHOLD_MONEY, 1000)
        # THRESHOLD_MONEY = THRESHOLD_MONEY * 10000
        THRESHOLD_MONEY = 0
        # 最大数量
        # MAX_COUNT = cls.get_jingxuan_in_block_threshold_count()

        cls.top_in_list_cache = datas
        blocks = set()
@@ -393,11 +412,15 @@
                    break
            if has_code:
                count += 1

            if count >= 10:
                break
                if count == 10:
                    strong = cls.get_market_strong()
                    if strong is None:
                        strong = 60
                    THRESHOLD_MONEY = int((1 - strong/200) * data[3])
            # if count >= MAX_COUNT:
            #     break
        # 记录精选流出日志
        async_log_util.info(logger_kpl_jx_in, f"原数据：{datas[:20]} 板块：{blocks}")
        async_log_util.info(logger_kpl_jx_in, f"原数据：{datas[:50]} 板块：{blocks}")
        blocks = list(blocks)
        blocks.sort(key=lambda x: fblock_money.get(x), reverse=True)
        cls.__top_jx_blocks = blocks
@@ -432,12 +455,37 @@
        cls.__top_jx_out_blocks = list(blocks)

    @classmethod
    def set_market_strong(cls, strong):
        """
        设置市场行情强度
        @param strong:
        @return:
        """
        cls.__market_strong = strong

    @classmethod
    def get_market_strong(cls):
        return cls.__market_strong

    @classmethod
    def get_top_market_jingxuan_blocks(cls):
        return cls.__top_jx_blocks

    @classmethod
    def get_top_market_jingxuan_out_blocks(cls):
        return cls.__top_jx_out_blocks

    @classmethod
    def get_block_info_at_block_in(cls, b):
        """
        获取板块的净流入情况
        @param b:
        @return: (板块名称,身位,流入金额)
        """
        for i in range(0, len(cls.top_in_list_cache)):
            if cls.top_in_list_cache[i][1] == b:
                return b, i, cls.top_in_list_cache[i][3]
        return b, -1, 0

    @classmethod
    def set_top_5_industry(cls, datas):
@@ -1146,4 +1194,5 @@


if __name__ == "__main__":
    pass
    RealTimeKplMarketData.set_market_strong(120)
    print(RealTimeKplMarketData.get_jingxuan_in_block_threshold_count())