股票知识｜入门到精通
小生聊投资股票知识传播者
| Publishes | Daily | Episodes | 520 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Language |  ZH-CN | Number of Listeners | Categories | BusinessInvesting |
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Latest Episodes
【文稿：】乖离率算的是股价与某条均价线的分离程度，分离程度越大、乖离率就越大，但很多人表示不理解这段话，对此我用两张图片给大家说明一下。先看文稿中的第一张图；股价短期内出现大幅上涨，k线跑到了均价线的上方，这时候乖离率一定是正数，而且随着k线和均线向上分离的距离越大，乖离率的数值也会越大。
然后再看第二张图：股价短期内出现大跌，k线跑到了均价线的下方，所以乖离率一定是负数，因为股价大跌，所以k线和均线向下分离的距离变大，这时候乖离率的数值也会越来越小。
图中的均价线是6日均价线，这是我默认的... more
【文稿：】乖离率也叫做BIAS指标，中文名字更好记一些，那我们就用乖离率称呼它。指标的长相可以看文稿中的图片，简单的数据相信大家都会看，我就不浪费时间了。乖离率算的是一个“比率”，既然是比率、得出的结果肯定是一个数值，然后把这些数值用线条连接起来，就变成了图片中的那副模样。
乖离率指标有三条线，每条线的算法都一样，了解一个就能知道另一个。先来讲讲乖离率到底是什么？乖离率是指股价与某条均价线的分离程度，二者距离越远、乖离率就越大，距离越近、乖离率就越小。这句话很好理解，如果你听懂了这句话，接下来讲... more
【文稿：】我们先来讲讲EXPMA指标的算法，上期内容已经讲过算法的原理，而今天的内容会帮助大家加深对算法的理解。上期说过：EXPMA中的四条线其实就是股票的均价线，它和k线图的均价线具有类似的含义、那就是表达了股价的平均值，但在计算平均值的时候，EXPMA指标用到了加权平均算法，而k线图的均价线用的是算数平均算法。
加权平均的特点是考虑了某个因素，然后将这个因素作为权重进行了平均。对于EXPMA指标来说，这个权重就是“时间”。相比k线图中的均价线，EXPMA的均价线加入了“时间”这个因素。换句话... more
【文稿：】今天要学的指标名称比较长，叫做EXPMA指标，中文叫做“指数平均数”指标。是不是觉得很难理解呢？我们可以把名称简化一下就是“平均数”，这个指标跟多数指标一样也是用线条来表示，所以也可以叫做“平均线”，平均线我想所有人都认识，也就是股价的平均线、对！就是均价线...
EXPMA指标就是均价线，而我们在k线图中看到线条的也是均价线，既然都是均价线，为何还要单独以指标的形式存在呢？那是因为EXPMA表达的虽然是均价线，但背后的算法略有不同，而正是这一点不同让它变得异常巧妙。
文稿中的图片就是... more
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Reviews
- 简单明了
知识点讲的都很通俗易懂，很适合我这种萌新。
Apple Podcasts5听说可以永久免费Chinaa year ago - 通俗易懂 很好
挺好的 言简意赅。
还坚持更新感谢博主
Apple Podcasts5大乖的欧欧欧欧Chinaa year ago - 讚嘆
內容非常充實！
其實沒什麼好說的，因為太有良心了❤️
Apple Podcasts5Huang,zhihao
Taiwan3 years ago - 冬吴相对论后，又听听这个播客
很久没用过苹果播客了，自冬吴相对论停播后，有几年了。一直就知道苹果的播客不错，不过没有合适自己的节目就没听了。最近学炒股，抖音上找了找，也有很多不错的，而这个播客非常合适，比抖音上的还好，作音多多讲得非常清楚，一点也不故作深奥玄乎。股票入门播客，我推荐！pansen169
Apple Podcasts5盘SEN森China4 years ago - 对初学者非常友好
深入浅出，言简意赅，短小精悍。
Apple Podcasts5这车硬件挺好，软件一塌糊涂。China4 years ago
Chart Rankings
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Apple Podcasts | #231 |  Australia/Business/Investing |
Apple Podcasts | #10 | China/Business/Investing |
Apple Podcasts | #29 |  Hong Kong/Business/Investing |
Apple Podcasts | #40 | China/Business |
Apple Podcasts | #58 | Taiwan/Business/Investing |
Apple Podcasts | #84 | Hong Kong/Business |
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股票知识｜入门到精通 launched 6 years ago and published 520 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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