Stability Differential Framework (SDF): A General Transform for Dimensionless Analysis of Arbitrary Time Series
Abstract
The Stability Differential Framework (SDF) is introduced as a lightweight, domain-agnostic method that provides a statistical approximation of stability by transforming any discrete time series into dimensionless measures of differential behaviour, short-term momentum, and a cumulative stability field.
Fields of Study & Subjects
Time Series Analysis and Forecasting
Complex Systems and Time Series Analysis
Stock Market Forecasting Methods
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 January 2026
- Language
- EN