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31Multifractal Detrended Fluctuation Analysis in Python
python package for DFA (Detrended Fluctuation Analysis) and related algorithms
Application of the MultiFractal Detrended Fluctuation Analysis to Time Series
Tools (C/Matlab) for multifractal analysis of 1D (time-series) and 2D (images) signals
This is a plugin for ImageJ2 for multifractal analysis of 2D and 3D images. Cite: MULTIFRAC: An ImageJ plugin for multiscale characterization of 2D and 3D stack images . IG Torre, R. J. Heck and AM Tarquis. SoftwareX, 12, 100574.
a wavelet-based multifractal image analysis tool implementing the WTMM (Wavelet Transform Modulus Maxima) method.
Numerical methods (C/Matlab) for multifractal singularity analysis of 1D (time-series) signals
Time series analysis codes used in the company's data science projects.
Software appplication for multifractal analysis on complete genomes (DNA and protein) using the sand-box method
This is a project related to multifractality in random networks and spatial long-range analysis.
Toolbox for conducting multifractal analysis of time series data using Julia
The entropy module can be found here: https://github.com/nikdon/pyEntropy/blob/master/pyentrp/entropy.py
Statistical and multifractal analysis of early warning signals in financial time series with hourly data in Python 3 for bachelor's diploma
Models of Bak-Tang-Wiesenfeld, Manna, Feders and stochastic Feders sand piles on cellular automaton and random graphs in Python 3
To increase efficiency of a cotton mill. I set up an ANOVA 3 factor analysis model in R to determine best spindle & position that produces the longest roving. The only significant difference in roving length was observed when position was 3 and spindle was 1 or 2. (ANOVA Model in R)
End-to-End Python implementation of the computational toolkit for financial market complexity analysis from "Complexity of Financial Time Series: Multifractal and Multiscale Entropy Analyses" (2025). Implements cutting-edge entropy and fractal methods to quantify asset predictability, nonlinear correlations, and multifractal scaling properties.
A high-performance Python toolkit for the analysis of multifractal time series and complex systems
Analyze financial time series using multifractal and multiscale methods. Enhance your market insights with this comprehensive dashboard. 🌟
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