Syntalium Wiki
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.
- Define per-band limits pre-open.
- Map live score to active policy.
- Trigger alerts on band transitions.
- 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 edgeWeak vs strong interpretation
| Practice | Weak | Institutional |
|---|---|---|
| Decision style | Ad hoc | Policy-driven |
| Sizing | Inconsistent | Band-based |
| Review | PnL only | PnL + process |
Internal links
- Market Status reference
Pair score interpretation with regime labels.
- Verify published context
Confirm historical context integrity before review.
- What is Market Score
Understand score construction before interpretation.
- Risk management in crypto
Convert interpretation into hard limits.
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.