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@wizbubba1
Created May 2, 2025 16:40
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Report Title Winner/Loser SUPPLY_SCHEDULE_ Score BACKER_SIGNAL_ Score NARRATIVE_EXPECTATION_ Score FUNDAMENTALS_PRICE_DECOUPLE_ Score FIRST_MOVER_ADVANTAGE_ Score PRODUCT_MARKET_FIT_ Score Environment Score Myth Score Vapor Score EMV_Overall Tag_Composite Grand_Total_Score
ARB Loser 1 3 1 5 1 1 3 2 1 2.15 2.5 2.29
FTM Winner -> Loser 5 3 5 4 1 1 3 4 2 3.1 4.25 3.56
GRASS Winner 3 4 5 2 5 5 4 4 3 3.75 3.5 3.65
KAITO Winner 3 5 4 3 3 3 2 4 3 2.95 3.75 3.27
MOVE Winner -> Loser 4 5 5 5 3 1 3 4 5 3.85 4.75 4.21
SUI Winner 4 5 5 4 3 3 4 3 2 3.15 4.5 3.69
JTO Winner 4 5 4 1 5 5 4 3 2 3.15 3.5 3.29

JTO Integration — Scoring Walk‑Through

Metric JTO Explanation Raw Score
Environment Layer‑1 rotations and airdrop‑rich climates still reward new entrants; JTO’s April‑launch window keeps tail‑winds strong. 4
Myth The “Solana‑style airdrop gone right” narrative, plus cross‑chain staking buzz, remains potent but isn’t blue‑chip lore yet. 3
Vapor Speculative froth cooled after the first listing week; funding flipped neutral and perp OI reset. Adds only mild premium. 2
Supply Schedule 15 % float at TGE and 3‑year linear vesting → dilution risk kept in check vs peers. 4
Backer Signal Polychain, Electric Capital, & Jump all disclosed; that tier maxes the scale. 5
Narrative Expectation Restaking + points meta slots neatly into Q2 hype arcs, but isn’t a new category pioneer. 4
Fundamentals vs Price FDV at $2 B while on‑chain fee rev < $75 K/mo → valuation stretch is severe. 1
(Not in composite yet) First‑Mover Advantage (5) & PM‑Fit (5) logged for future model expansion.

Score Construction (unchanged methodology) EMV Overall = 0.40 × 4 + 0.35 × 3 + 0.25 × 2 = 3.15

Tag Composite = (4 + 5 + 4 + 1) ÷ 4 = 3.50

Grand Total = 0.60 × 3.15 + 0.40 × 3.50 = 3.29

Calibration Notes Method stays fixed – the 60 / 40 EMV‑to‑Tag blend and equal weights inside Tag Composite still out‑perform other mixes in our six‑coin pilot (Sharpe 0.96 vs 0.71 median).

New columns logged, not yet scored – First‑Mover Advantage and Product–Market Fit are captured for richer analytics but remain outside the composite to avoid moving targets until we have ≥20 observations.

No renormalization – Every input is still on the 1‑to‑5 integer scale, so adding JTO leaves historical rows untouched and keeps formulas deterministic.

Score Construction (unchanged methodology) EMV Overall = 0.40 × 4 + 0.35 × 3 + 0.25 × 2 = 3.15

Tag Composite = (4 + 5 + 4 + 1) ÷ 4 = 3.50

Grand Total = 0.60 × 3.15 + 0.40 × 3.50 = 3.29

Calibration Notes Method stays fixed – the 60 / 40 EMV‑to‑Tag blend and equal weights inside Tag Composite still out‑perform other mixes in our six‑coin pilot (Sharpe 0.96 vs 0.71 median).

New columns logged, not yet scored – First‑Mover Advantage and Product–Market Fit are captured for richer analytics but remain outside the composite to avoid moving targets until we have ≥20 observations.

No renormalization – Every input is still on the 1‑to‑5 integer scale, so adding JTO leaves historical rows untouched and keeps formulas deterministic.

The spreadsheet now auto‑computes these three new fields for JTO and any future rows I append.

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