backtrader multiprocessing

在所提到的引用中没有提到backtrader与multiprocessing模块的关系。然而，根据引用中提到的Python进程Multiprocessing模块原理解析，可以推测出使用multiprocessing模块可以在Python中实现进程间的并行计算，从而提高程序的性能。因此，如果你在使用backtrader进行量化回测时，可以考虑结合使用multiprocessing模块来加速计算过程。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [Python进程Multiprocessing模块原理解析](https://download.csdn.net/download/weixin_38677472/12854904)[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^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [82、backtrader部分回测功能替代品_ts和cs功能介绍及使用说明](https://blog.csdn.net/qq_26948675/article/details/130507409)[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^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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