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All (6)
Author: M. Isichenko (1)
Author: M. L. De Prado (3)
Chapter Notes (4)
Cheat Sheet (1)
Cookbook (1)
Data (1)
Machine Learning (3)
Python (5)
Quantitative Finance (5)

Notes to Self

Practical Implementations for Advances in Financial Machine Learning: Data

Python
Quantitative Finance
Data
Data is why data science and quantitative analytics exist! So what good is reading about financial…
Mar 30, 2023
Louis Becker

Python Cookbook

Python
Cheat Sheet
Cookbook
This post serves as a quick-view…
Mar 28, 2023
Louis Becker

Notes from Advances in Financial Machine Learning: Labelling Financial Data - Work in Progress

Machine Learning
Python
Quantitative Finance
Chapter Notes
Author: M. L. De Prado
This is the second of a series of blog posts summarising chapters from Advances in Financial Machine Learning by Marcos Lopez de Prado. These notes are concerned with ways to label financial data for machine learning applications.…
Mar 25, 2023
Louis Becker

Notes from Advances in Financial Machine Learning: Dealing With Multi-Product Series

Machine Learning
Python
Quantitative Finance
Chapter Notes
Author: M. L. De Prado
Content income. This post exists for planning purposes.
Mar 24, 2023
Louis Becker

Notes from Quantitative Portfolio Management: Market Data - Work in Progress

Quantitative Finance
Chapter Notes
Author: M. Isichenko
I summarise and try to implement, in code, the concepts that Michael Isichenko discusses in his book, Quant…
Mar 23, 2023
Louis Becker

Notes from Advances in Financial Machine Learning: Data Bars and Sampling

Machine Learning
Python
Quantitative Finance
Chapter Notes
Author: M. L. De Prado
This is my first of a series of blog posts summarising chapters from Advances in Financial Machine Learning by Marcos Lopez de Prado. In this learning expedition I try to summarise Lopez de Prado’s explanations of financial data structures. This post focuses on data bars and how to construct the various…
Mar 8, 2023
Louis Becker
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