November 2022
Intermediate to advanced
392 pages
10h 8m
Chinese
Content preview from Python算法交易
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328
｜
第
10
章
图 10-12：上传 Python 代码文件
10.6.5
运行代码
第五步是运行
Python
脚本进行自动交易，如图
10-13
所示。图
10-14
展示了
Python
脚本启动的交易。
10.6.6
实时监控
最后一步是在本地运行监控脚本（前提是你已在本地脚本中设置了正确的
IP
），如
图
10-15
所示。实际上，这意味着你可以在本地实时监控在云实例上发生的情况。
10.7
小结
本章介绍了一种以自动化方式部署算法交易策略的方法，该策略使用基于机器学习
的分类算法，来预测市场走势。它涉及诸如资本管理（基于凯利准则），回报表现
和风险的向量回测，离线和在线交易算法的转换，用来部署的合适的基础设施以及
部署期间的日志记录和监控等重要主题。
自动化交易操作
｜
329
图 10-13：运行 Python 脚本
图 10-14：由 Python 脚本发起的交易
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