MLP BLOG

Formulas used in several other codes created by ML Perspective. Formulas and class definition in Python.

All ETFs in Europe: Above Zero Probabilities and Maximum Likelihood Returns Towards 10/04/2023

The two graphs above use a PolynomialFeatures() transformer while the two below use a SplineTransformer() instance, both followed by a Stand

Probability of positive return, maximum likelihood return, markov chain projections, accumulative and single probability univariate splines

New version 2.1 on Google Colab released. More concise and processing-time saving.

Top10 ETFs USA comprehensive report with expected returns, their probabilties, return with maximum likelihood, probability of positive...

As have always been discussed here, the traditional time-series approach does not correctly communicate the apparently stochastic behavior o

The Python code can be accessed in this post. Details on the instantiation process, class objects, functions and other techniques used can b