saeed349/Advances-in-Financial-Machine-Learning

Using Dask, a Python framework, I handle 900 million rows of S&P E-mini futures trade tick data directly on a local machine. Through exploratory data analysis, continuous series creation, and bar sampling, inspired by Marcos Lopez de Prado's work, I demonstrate efficient alternatives to costly data processing methods.

语言：Jupyter Notebook · GitHub 星标：43 · Fork：7

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