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1 December 2025 Preprint Crypto Microstructure

Do Whitepaper Claims Predict Market Behavior? Evidence from Cryptocurrency Factor Analysis

Murad Farzulla

Abstract

Do the functional purposes articulated in cryptocurrency whitepapers correspond to how markets actually price these assets? We propose a three-stage framework combining NLP with market characterization to test narrative-market alignment. A pilot on 8 cryptocurrencies yields overall congruence of 0.719 (95% CI: [0.623, 0.953]).

Suggested Citation

Murad Farzulla (2025). Do Whitepaper Claims Predict Market Behavior? Evidence from Cryptocurrency Factor Analysis. Dissensus AI Working Paper DAI-2508. DOI: 10.2139/ssrn.5918302

Methodology

NLP zero-shot classification CP tensor decomposition Tucker congruence

Topics

Financial Markets Cryptocurrency Natural Language Processing