Work

Structural Depth Theory: Multi-Asset Empirical Validation and Reproducible Source Code

Year: 2026

Type: preprint

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21627633

Author: Guven, Halil Ibrahim

Language: English

Topic: Financial Markets and Investment Strategies

Subfield: Finance

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7171394648

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