Abstract

This paper examines a crypto macro-fundamental framework that combines broader macroeconomic context with asset-specific fundamental signals. The goal is to create a practical, research-driven process for evaluating cryptocurrency opportunities with explicit signal rules. The strategy blends macro regime detection, on-chain or asset-specific fundamentals, and a timing layer so that crypto exposure is only taken when both environment and asset quality align.

Introduction

Cryptocurrency markets are heavily influenced by both macro liquidity conditions and asset-specific fundamentals. A token can have strong network activity but still underperform during tightening financial conditions, while a weak fundamental profile can rally aggressively during liquidity expansions. The practical issue is not whether these drivers matter, but how to combine them into a consistent decision rule.

This note defines a two-layer framework. The first layer measures macro regime. The second layer scores the asset itself. Only when both layers are favorable does the model produce a trade.

Motivation

Three conditions make a hybrid framework useful:

1. Macro dominates risk appetite: rates, dollar strength, liquidity, and risk sentiment can overwhelm asset-level signals.
2. Fundamentals still matter: network adoption, volume quality, developer activity, and concentration can separate stronger projects from weaker ones.
3. Timing needs structure: a composite score is easier to evaluate than a discretionary view on crypto cycles.

The objective is to avoid buying strong fundamentals in a hostile macro regime and to avoid overreacting to macro optimism when the asset itself is deteriorating.

Key Equations

Macro regime score:

Fundamental score:

Composite trade score:

Trade trigger:

Expected net return:

Kelly-style sizing with cap:

Algorithm Blueprint

Trade rules:

• Trade only when both macro and fundamental layers are aligned
• Use capped sizing to avoid oversizing in thin or expensive markets
• Exit on regime decay, funding stress, or deteriorating asset quality

Results

Framework comparison:

| Model | Macro filter | Fundamental filter | Expected behavior | |---|---|---|---| | Momentum only | No | No | Fast but noisy | | Macro only | Yes | No | Better regime control | | Fundamental only | No | Yes | Stronger selection, weaker timing | | Macro-fundamental | Yes | Yes | Best balance of timing and quality |

Risk controls:

| Metric | Rule | |---|---| | Macro threshold | | | Fundamental threshold | | | Composite threshold | | | Position cap | | | Funding filter | Avoid elevated cost regimes |

The framework is intentionally conservative: it prefers fewer high-conviction entries over constant exposure. That makes it easier to evaluate whether the macro layer truly improves crypto timing, rather than just adding complexity.

Contributions

• Defines a two-layer crypto decision framework combining macro regime detection and asset-level fundamentals
• Formalizes a composite score that can be used for entry, sizing, and exit decisions
• Adds explicit cost-aware filters for spreads, fees, and funding pressure
• Provides a clean benchmark against momentum-only and single-layer approaches

Paper

Author

Frankline Misango Oyolo Arithmax Research Frankline@arithmax.com — Published: May 4, 2026