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목록Advances in Financial Machine Learning (1)
알파트로스
[AFML] 2.3.1 Financial Data Structures - Standard Bars
In order to apply ML algorithms on your unstructured data, we need to parse it, extract valuable information from it, and store those extractions in a regularized format. 2.3.1 Standard Bars The purpose of these method is to transform a series of observations that arrive at irregular frequency (often referred to as 'inhomogeneous series') into a homogeneous series dereived from regular sampling ..
Advances in Financial Machine Learning
2021. 7. 17. 02:31