首页
学习
活动
专区
圈层
工具
发布

量化研究:Correlated Time Series Generation u

量化研究:Correlated Time Series Generation u

量化研究:Correlated Time Series Generation u来源: Quant Start | 编译: Hermes Agent[图片: https://quantstartmedia.s3.us-east-1.amazonaws.com/images/article-images/articles/correlated-time-series-generation-using-object-oriented-python/correlated-sample-paths.png][图片: https://quantstartmedia.s3.us-east-1.amazonaws.com/images/article-images/articles/correlated-time-series-generation-using-object-oriented-python/correlated-sample-paths.png][图片: https://www.quantstart.com/static/images/quantcademy-sidebar-advert-small.png]This article is a continuation of a series of articles on generating synthetic equities datasets for the purposes of machine learning (ML) model training or synthetic backtesting of systematic trading strategies.Correlated Time Series Generator本节深入探讨Correlated Time Series Generator。原文包含详细的实证数据和策略分析,建议结合文末链接阅读完整内容。Correlated Paths Visualisation本节深入探讨Correlated Paths Visualisation。原文包含详细的实证数据和策略分析,建议结合文末链接阅读完整内容。Next Steps本节深入探讨Next Steps。原文包含详细的实证数据和策略分析,建议结合文末链接阅读完整内容。Full Code本节深入探讨Full Code。原文包含详细的实证数据和策略分析,建议结合文末链接阅读完整内容。原文: https://www.quantstart.com/articles/correlated-time-series-generation-using-object-oriented-python/

  • 发表于:
  • 原文链接https://page.om.qq.com/page/Ocp6RvZ2_sudPuXDQ7h7vTuA0
  • 腾讯「腾讯云开发者社区」是腾讯内容开放平台帐号(企鹅号)传播渠道之一,根据《腾讯内容开放平台服务协议》转载发布内容。
  • 如有侵权,请联系 cloudcommunity@tencent.com 删除。
领券