对自己看多的想法产生怀疑。
大盘12.20日大盘破位收阴线点产生的怀疑，到了第二天最低点2882收盘阳线，看到2882点给出方程发现2882还是构成新的底部，到了27日大盘做小双底2882-2890忽然反应过来，这是主力制造的空头陷阱啊。
双鹰将50指数，300指数，沪市大盘，深圳成指，深综指，创业板指数，399317.等大的指数都做出了浪型分析，和时空规律得出这个结论，
2882为代表的各大指数已经构成成中级大底。
好的，谢谢
膜拜神贴
2882就是中级底部，不要有丝毫怀疑。在大A股市场30多年，牛市只有3-4次大熊市的时间远远多于牛市，但是熊市又有多次中级行情。摆在我们面前的任务就是大波段操作，牛市不算，熊市每年必有一波中级以上的行情。那么做好中级行情就是重中之重。
当下可以肯定的说2-3年内都没有大牛市，中期上方3400点一带是一个大阻力；3700一带阻力更大；’6124--5178的长期大压力线阻力更大，指数走到这条线会有更大的阻力，会产生较大的回落。
不突破这条线根本就不可能有大牛市。
大的熊市也不会有，无论国际国内政治经济有多少能预料的活不能预料的事情出现，当下这个地方都不会出现惨烈的熊市。
极度悲观的时候，多看一些正能量的舆论，新年献词，又不可过度乐观。不可以过左也不要过右。
苦练波段操作的基本功，。
，这几天大盘主力运作的步伐良好，节奏良好。有板有眼，多头信心逐步恢复，50.300.399009，成指这几大指数超跌严重，反弹的空间要大于沪市大盘。许多个股今日又给了很好的建仓机会。
你好，“2885进入B浪反弹，这个反弹仍然没有结束，这个B浪是复式交替原则”。能说说一下“”这个B浪是复式交替原则‘’吗？谢谢。
C:\Users\Administrator\Desktop
图
老燕双鹰 发表于 2023-12-28 16:01
有人很愿意翻出老鹰过去的帖子
好吧老鹰就在接着过去的帖子发新贴。
隔多年再出江湖，如今江湖之收割程序巳升级上证变成超级骗线利器，以收割6124，5178逃顶的漏网之鱼！
老燕双鹰 发表于 2024-1-4 11:18
图
data:image/png;base64,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
练习发图呢
今日二次探底考验结束
反弹上涨94回调40点不足50%
沪市强，深圳市场偏弱，但都是二次探底。
今日可以清楚看到几大指数都是全天白线打压指数，黄线拒绝或被动跟随。下午收出下影线，提示下周开始向上进攻
今年没有大熊市没有大牛市，2882点的反弹仍然是调整浪，应该是双重锯齿也称为双重之字结构震荡上升是主旋律，到3400点一带还要回落，要回头构筑4重底。还要考验3000点
2440--2646=62.......3731--2863=62.......2885---1.19=62
上证指数构建了5年大型头肩顶结构，尤如一只螃蟹，意味着未来2年还要横着走。