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

@@ -365,7 +365,7 @@
        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]:
            if info[0] <= score < info[1]:
                return info[2]
        return 10

@@ -377,13 +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 = 0
        # 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()
        # MAX_COUNT = cls.get_jingxuan_in_block_threshold_count()

        cls.top_in_list_cache = datas
        blocks = set()
@@ -412,9 +412,13 @@
                    break
            if has_code:
                count += 1

            if count >= MAX_COUNT:
                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[:50]} 板块：{blocks}")
        blocks = list(blocks)
@@ -482,8 +486,6 @@
            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):