后一修订版 | 前一修订版 |
量化缠论 [2022/12/09 06:07] – 创建 wyrover | 量化缠论 [2022/12/09 10:26] (当前版本) – wyrover |
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) | 缠 论 经 典 |
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> ********查看之前文章请点击右上角********,关注并且******查看历史消息**************所有文章全部分类和整理,让您更方便查找阅读。请在页面菜单里查找。******** | 1. 就在买点买,卖点卖; 当然,买点并不一定是一个点,一个价位,级别越大的,可以容忍的区间越大。 |
| 2. 你要经常考虑的是大的级别是什么,才考虑 1 分钟的图; 除了最后的冲刺及权证,一般都没必要看 1 分钟的。 |
![Image](data:image/gif;base64,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) | 3. 散户绝对不要抄底,一定要等股票走稳将启动才介入; 如果是短线,一定要在均线粘合时介入,这样就不用浪费时间。 记住 5 周线是中线生命线,5 日线是短线生命线。 |
| 4. 中线的顶不是一天形成的,只有筑顶一定时间后才会出现那种大阴线,而上升途中的大阴线,只会引发多头更凶猛的反扑。 |
此前大家对缠论的文章呼声很高,因此想做一个系列,来系统的介绍一下。但是在写之前笔者有几句话想说:**用缠论作为构建技术分析系统是很好的,但不要太执拗其中,任何理论都有其优点与不足,我们要辩证的看待问题。希望大家能从中学到有用的知识,理性对待缠论。** | 5. 不要在以巨量大阴线构造顶部的下跌反抽中介入,这是投资中的大忌。 |
| 6. 要养成绝对不追高的好习惯,不要在所有均线都向下发散时买股票,风险太大。 |
**系列目录** | 7. 背驰只是告诉你相应的升势告一段落,但没有承诺一定要调整多长时间与多大幅度,这个问题应该看低一级别的第一类买点回补,你看看该股低一级别的 5 分钟。 出现明显的第一类买点,这就是一个回补的最好时机,后面的上涨,一点都没耽误。 |
| 8. 如果你怕大调整,就去看 30 分的第一类卖点。 |
[**【量化缠论】系列文章(一)**](http://mp.weixin.qq.com/s?__biz=MzAxNTc0Mjg0Mg==&mid=2653283801&idx=1&sn=0a05bb0247535a118183be2b917c56b4&scene=21#wechat_redirect) | 9. 30 分图上,如果你用 MACD 背驰,它明显走出三次红柱,一次比一次低,这是明显的背驰信号,根本不需要等跌破再有反应。 |
| 10. 一般最有效的背离是这样发生的:黄白线回到 0 轴附近再上去,股价新高而两线及柱子都不新高,这时出现的背离最有效。 |
本期内容感谢**【中信建投金工团队】**与【**量化投资与机器学习】**公众号进行友好合作。 | 11. 缠中说禅的 MACD 定律:第一类买点都是在 0 轴之下背驰形成的,第二类买点都是第一次上 0 轴后回抽确认形成的,卖点情况反过来。 |
| 12. 缠中说禅定律:任何非盘整性的转折性上涨,都是在某一级别的 “下跌+盘整+下跌” 后形成的,下跌反之。 |
缠论 缠论是一种择时类的技术理论,借助数学中的形态分类方法和物理中的动力学理论来解释市场走势。以市场走势中的 K 线图为基础,通过包含关系处理后,分辨出走势图中的分型(顶分型和底分型),根据分型划分出笔,再由笔构造出线段,再根据线段确立走势中枢,继而判别走势类型,通过分析走势中枢的位次,结合动力学部分的背驰及区间套,综合确定第一、二和三类买卖点。**分型** 在由 K 线确立分型之前,必须先对 K 线进行包含关系处理。包含的定义:一根 K 线的高低点全部在其相邻 K 线的高低点范围之内,那么这根 K 线和其相邻 K 线就称包含关系。但分为向上处理和向下处理两种情况。![Image](data:image/png;base64,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