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How to Interpret Crypto Market Scores

TL;DR

Interpretation matters more than the number itself. Define policy actions for each score band before trading.

Clear explanation

A common mistake is reading scores as direct buy or sell commands. Institutional use is policy-driven.

Assign each band to clear actions: normal participation, caution mode, or defense mode.

Track outcomes by score regime to improve rules without hindsight bias.

Technical example: policy map

A desk uses three bands with fixed risk budgets and avoids forcing trades in low-score periods.

  1. Define per-band limits pre-open.
  2. Map live score to active policy.
  3. Trigger alerts on band transitions.
  4. Review weekly PnL by score band.

ASCII model

Score feed -> Policy bands -> Position sizing -> Trade frequency -> Review
 0-49      defensive         low             sparse          protect capital
50-69      caution           medium          selective       preserve expectancy
70-100     favorable         normal          active          harvest edge

Weak vs strong interpretation

PracticeWeakInstitutional
Decision styleAd hocPolicy-driven
SizingInconsistentBand-based
ReviewPnL onlyPnL + process

Internal links

FAQ

Should rules differ by asset?

Yes. BTC and high-beta alts need different thresholds and sizing.

How often should policies be recalibrated?

On a regular schedule, unless clear regime change requires earlier adjustment.

Can interpretation be fully automated?

Partly. Governance still needs human oversight and exception handling.