Skip to content
#

econophysics

Here are 68 public repositories matching this topic...

An end-to-end Python implementation of Cao et al.'s (2025) HLPPL methodology for the identification of financial (asset price) bubbles. Implements 7-parameter Log-Periodic Power Law model fitting, confidence-weighted sentiment analysis, regime-dependent 'BubbleScore' fusion, and Transformer-based forecasting with a backtesting framework.

  • Updated Oct 16, 2025
  • Jupyter Notebook

Add this topic to your repo

To associate your repository with the econophysics topic, visit your repo's landing page and select "manage topics."

Learn more