multifractal-analysis

Multifractal 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

A Python library for performing 1D and 2D multifractal analysis using the Detrended Moving Average (DMA) method. Supports multifractal spectrum estimation with customizable parameters for in-depth data analysis.

A high-performance Python toolkit for the analysis of multifractal time series and complex systems

Bayesian Multifractal Image Segmentation

Scripts for tumor microenvironment metabolic network analysis: random flux sampling of genome-scale models and multifractal geometric topology of metabolic graphs

Reproducible Python pipeline testing fractal, multifractal and Fibonacci/Elliott-wave claims in financial markets against stochastic benchmarks.

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

Statistical and multifractal analysis of early warning signals in financial time series with hourly data in Python 3 for bachelor's diploma

Python desktop tool (Tkinter GUI) and framework for multifractal analysis of spatial data, featuring global and local Chhabra-Jensen algorithms, multiscale zeta-weighting for reliability mapping, and GeoPackage GIS export.

The entropy module can be found here: https://github.com/nikdon/pyEntropy/blob/master/pyentrp/entropy.py

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.