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691 pages; Quantitative and Qualitative Treatments to Capital Markets; Notes on Abstract Linear Algebra (PART VI)
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691 pages; Quantitative and Qualitative Treatments to Capital Markets; Notes on Abstract Linear Algebra (PART VI)

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HangukQuant
Jul 10, 2023
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HangukQuant Research
HangukQuant Research
691 pages; Quantitative and Qualitative Treatments to Capital Markets; Notes on Abstract Linear Algebra (PART VI)
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We have already kicked off our programming series with a start on data structures for formulaic alpha encoding:

Alpha-Encoding Data Structures

Alpha-Encoding Data Structures

HangukQuant
·
July 1, 2023
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and implemented it in Python:

Programmatic Quant Alpha Encoding with Python

Programmatic Quant Alpha Encoding with Python

HangukQuant
·
July 8, 2023
Read full story

Last week, we conducted an investigation of complex and real vector spaces, and covered important topics such as Jordan forms, characteristic polynomials, eigendecomposition, right/left inverses, pseudo-inverse and so on.

In this post, we round up the abstract linear algebra series with our notes on matrix trace and determinants, which are very important properties of matrices and operators. Readers should be equipped with knowledge of a fair amount of linear algebra at this point, and we will add on more advanced concepts in the future, as well as use what we learnt extensively.

The next few posts will cover our classical alpha report, programming of the required traversal algorithms and recursion exercises for the alpha tree, as well as new topics in convex optimization.

Full notes, 691 pages (paid):

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