Python量化macd 的相关内容

文章 2024-01-25 来自：开发者社区

Python 量化投资（一）：滑动均值、布林带、MACD、RSI、KDJ、OBV

滑动均值和标准差为了更好利用向量化来加速，滑动窗口使用np.lib.stride_tricks.sliding_window_view(x, win)提取，它会返回所有x[i]开头并且长度为win的数组的数组。def rolling(x, win): r = np.lib.stride_tricks.sliding_window_view(x, win) pad = np.zer...

文章 2022-06-13 来自：开发者社区

Python 金融量化均线系统交易策略专题(简单移动平均，加权移动平均，指数加权移动平均，异同移动平均MACD等解读与绘图)

捕捉趋势最普遍的方法为移动平均线，根据求平均的方式不同，移动平均数又可分为简单移动平均数(Simple Moving Average, SMA)，加权移动平均数(Weighted Moving Average, WMA)，和指数移动平均数(Exponential Moving Average, EXPMA或EMA)。目录获取数据1.简单移动平均(SMA)1.1 简单移动平均数1.2 绘...

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更新时间 2024-04-30 14:27:20

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分布式计算框架 MaxCompute MaxFrame

MaxCompute MaxFrame 是阿里云自研分布式计算框架，支持 Python 编程接口并可直接使用 MaxCompute 计算资源及数据接口，与 MaxCompute Notebook、镜像管理等功能共同构成 MaxCompute 完整 Python 开发生态。

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Python 量化投资（一）：滑动均值、布林带、MACD、RSI、KDJ、OBV

Python 金融量化 均线系统交易策略专题(简单移动平均，加权移动平均，指数加权移动平均，异同移动平均MACD等解读与绘图)

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