Research Score

Definition

Alphora’s research score summarizes multiple research categories into a 0–100 style signal to help triage. It is a research aid — not a buy rating or financial advice — and it should be read alongside category breakdowns and concerns.

Use the score to decide what deserves deeper time, not to outsource judgment. A high score with unresolved unlock overhang still needs a Pass if liquidity cannot support your size. Triage is the feature; automation of belief is not.

Always open the category breakdown. Composite numbers hide tradeoffs — strong momentum beside weak tokenomics is a different animal from balanced mediocrity. Concerns and monitors matter more than the headline integer.

Scores age as markets and supply schedules change. Re-check around catalysts and unlocks. Pair score triage with Discover, Ask briefs, and baskets so the signal sits inside a full research loop.

Why researchers care

• Use it to prioritize which assets to study deeper.
• Always read the category breakdown and concerns.
• Verify primary sources before acting.
• It is triage, not a buy/sell rating.

How to use it in research

• Sort a sector shortlist by Research Score, then manually fail anything with near-term cliffs you will not underwrite.
• A mid score with excellent liquidity and clean capture — promote to Ask despite average momentum.
• A high score on a microcap — still run slippage and whale concentration checks before sizing.

Common mistakes

• Treating the score as financial advice or a rating agency stamp.
• Ignoring category concerns because the composite looks fine.
• Never revisiting scores after unlock or narrative regime changes.