Structural Depth Theory: Multi-Asset Empirical Validation and Reproducible Source Code
This publication provides the complete reproducible empirical validation and source code for Structural Depth Theory (SDT v14), evaluating its predictive performance across Bitcoin (BTC-USD), Ethereum (ETH-USD), EUR/USD, and IAU Gold ETF using high-frequency market data. For live tracking, framework documentation, and related quantitative decision intelligence tools, visit marketalchemy.io. Key features of this release: - Multi-asset empirical validation across crypto, forex, and commodities. - Complete Python implementation (Master Validation Suite) ensuring full computational reproducibility. - Detailed statistical diagnostics including OLS regression, Pearson/Spearman correlations, and permutation testing.
Authors
- Halil Ibrahim Guven (ORCID: https://orcid.org/0009-0008-4942-5495)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-27
- DOI
- https://doi.org/10.5281/zenodo.21627634
- Primary Topic
- Economic and Technological Innovation
- Type
- preprint