<![CDATA[Background. Cycle theory — the practice of reading prices as a nested hierarchy of cycles measured from one low to the next — is a cross-asset tradition applied to equity indices, gold and, most recently, cryptocurrency. Objective. This structured narrative review appraises the conceptual coherence and empirical support for cyclical, low-to-low market timing across three asset classes: the S&P 500 equity index, gold, and Bitcoin. Methods. We distinguish the specific, quantified practitioner rules (fixed day/week counts, tolerance bands and an asserted ~80% hit rate) from the general, peer-reviewed proposition that returns are conditionally predictable, and appraise the plausibility of the former through the evidence on the latter rather than testing the rules directly. Following SANRA guidance, we report an explicit search strategy, eligibility criteria and a DOI-authenticated corpus, and grade each core tenet with a pre-specified rubric rather than an ad-hoc numeric score. Results. The evidence is asymmetric and consistent across markets: an identifiable cyclical anchor, time-varying (adaptive) efficiency, and the amplifying association of behavioural forces are well supported, whereas a mechanically periodic multi-year cycle and high-accuracy timing of individual lows are of limited and very limited support and are vulnerable to survivorship and data-snooping biases. We contribute an integrative reflexive framework, falsifiable predictions, and a transparent evidence-grading scorecard. Conclusion. Cycle theory is best understood not as a deterministic clock but as a probabilistic, regime-conditioned scaffold. This work is educational; it is not investment advice.]]>
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