ema python

在Python中，计算EMA指标有多种方法可以实现。其中，使用for-loop和numpy的迭代器nditer的方法如下：

def ewm_nditer(arr, span):
    n0 = arr * pows<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
-  *1* *2* [Python量化投资——时间序列数据指数平滑移动平均值EMA的高效计算](https://blog.csdn.net/Shepherdppz/article/details/104120689)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
-  *3* [Python量化分析之EMA指标](https://blog.csdn.net/qq_38281832/article/details/107326603)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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