The 25-Variable Framework: How We Score 250 Altcoins

# The 25-Variable Framework: How We Score 250 Altcoins

## Introduction

Our scoring framework evaluates altcoins across 25 variables grouped into five pillars: **Fundamentals**, **Tokenomics**, **On-Chain Activity**, **Market Structure**, and **Risk Factors**. Each variable is scored on a 1-10 scale (10 = best, 1 = worst), and the composite score is a weighted average. Below, we explain each variable in detail.

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## 1. Protocol Revenue

**What it measures:** Actual fees or revenue generated by the protocol over the trailing 12 months (e.g., trading fees on DEXs, lending interest, NFT marketplace fees).

**Scoring (1-10):** - 1-3: <$1M annual revenue or no revenue model - 4-6: $1M–$50M - 7-8: $50M–$500M - 9-10: >$500M with sustainable revenue streams

**Why it matters:** Revenue is the purest measure of product-market fit. Protocols that generate real revenue have intrinsic value independent of speculation. High revenue signals that users are willing to pay for the service, creating a self-sustaining ecosystem.

**Top scorers:** Uniswap, Aave, MakerDAO, GMX, Lido

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## 2. Revenue Trend

**What it measures:** Quarter-over-quarter (QoQ) growth or decline in protocol revenue, adjusted for market cycles.

**Scoring (1-10):** - 1-3: Declining >20% QoQ - 4-6: Flat or <10% growth - 7-8: 10-50% growth - 9-10: >50% growth with accelerating trajectory

**Why it matters:** Revenue trend captures momentum. A protocol with growing revenue is gaining market share or expanding its user base. Declining revenue may indicate competitive pressure or fading demand, even if absolute numbers are high.

**Top scorers:** Pendle, Aerodrome, Ethena, Jupiter

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## 3. P/S Multiple

**What it measures:** Price-to-sales ratio (fully diluted market cap / annualized protocol revenue).

**Scoring (1-10):** - 1-3: P/S >100x (extremely expensive) - 4-6: P/S 20-100x - 7-8: P/S 5-20x - 9-10: P/S <5x (undervalued relative to revenue)

**Why it matters:** P/S is a traditional valuation metric adapted for crypto. Lower multiples suggest the market is underpricing the protocol's earning power. However, beware of low multiples due to unsustainable revenue (e.g., incentive farming). We cross-reference with revenue trend.

**Top scorers:** dYdX, Synthetix, PancakeSwap, THORChain

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## 4. Supply Inflation

**What it measures:** Annual token emission rate as a percentage of current circulating supply (including staking rewards, mining, and ecosystem grants).

**Scoring (1-10):** - 1-3: >20% inflation (high dilution) - 4-6: 5-20% - 7-8: 1-5% - 9-10: <1% or deflationary (net burn > issuance)

**Why it matters:** High inflation creates persistent sell pressure, diluting holders. Low or negative inflation preserves purchasing power. All else equal, lower inflation tokens tend to outperform in bear markets.

**Top scorers:** BNB, KCS, OKB, LEO (all have burn mechanisms)

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## 5. Unlock Schedule

**What it measures:** The proportion of tokens scheduled to unlock in the next 12 months relative to current circulating supply.

**Scoring (1-10):** - 1-3: >50% of supply unlocking in 12 months - 4-6: 20-50% - 7-8: 5-20% - 9-10: <5% or all tokens already circulating

**Why it matters:** Large unlocks create predictable selling pressure from VCs, team, and early investors. Tokens with imminent cliff unlocks often underperform as the market prices in future dilution. We track unlock calendars daily.

**Top scorers:** Bitcoin, Litecoin, Monero (fully circulating); Arbitrum, Optimism (after initial unlocks)

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## 6. Circ/FDV Ratio

**What it measures:** Current circulating supply divided by fully diluted supply (including all future unlocks).

**Scoring (1-10):** - 1-3: <20% circulating (most supply locked) - 4-6: 20-50% - 7-8: 50-80% - 9-10: >80% (near fully diluted)

**Why it matters:** A low Circ/FDV ratio means massive future dilution is coming. The market often misprices this, leading to underperformance as tokens unlock. High ratios indicate the market has already absorbed most supply.

**Top scorers:** Bitcoin, Ethereum, Chainlink, Uniswap

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## 7. Buyback/Burn

**What it measures:** Existence and magnitude of token buyback or burn mechanisms (e.g., using protocol revenue to repurchase tokens).

**Scoring (1-10):** - 1-3: No burn mechanism - 4-6: Occasional burns (e.g., quarterly) - 7-8: Automated buyback/burn from fees - 9-10: Aggressive buyback/burn consuming >50% of revenue

**Why it matters:** Buybacks and burns create direct demand for the token and reduce supply. They align protocol incentives with holders. Protocols that consistently burn tokens tend to have stronger price support.

**Top scorers:** BNB, GMX, Kujira, LooksRare

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## 8. Smart Money

**What it measures:** Net flows from institutional wallets, venture capital funds, and known whale addresses (tracked via on-chain analytics).

**Scoring (1-10):** - 1-3: Heavy net selling by smart money - 4-6: Neutral or mixed - 7-8: Moderate net accumulation - 9-10: Strong accumulation by multiple known entities

**Why it matters:** Smart money flows are a leading indicator. Institutions and experienced traders often accumulate before retail catches on. We track wallets labeled by Nansen, Arkham, and proprietary heuristics.

**Top scorers:** (varies weekly; currently: AAVE, LINK, MKR)

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## 9. Insider Selling

**What it measures:** Token sales by team wallets, early investors, and foundation addresses (excluding scheduled unlocks).

**Scoring (1-10):** - 1-3: Active insider selling >$1M/month - 4-6: Occasional small sales - 7-8: No insider selling detected - 9-10: Insiders are buying or staking long-term

**Why it matters:** Insider selling is a major red flag. If the team is dumping tokens, it signals lack of confidence or misaligned incentives. We flag any wallet that received tokens from team/VC contracts and subsequently moved to exchanges.

**Top scorers:** Bitcoin (no team), Ethereum (foundation sells transparently), Chainlink

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## 10. Holder Concentration

**What it measures:** Percentage of circulating supply held by top 10 addresses (excluding exchange wallets and protocols).

**Scoring (1-10):** - 1-3: >50% held by top 10 (extreme concentration) - 4-6: 20-50% - 7-8: 10-20% - 9-10: <10% (well distributed)

**Why it matters:** High concentration means a few whales can manipulate price. It also increases sell risk if a large holder decides to exit. Decentralized distribution is healthier for long-term price stability.

**Top scorers:** Bitcoin, Ethereum, Uniswap, Aave

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## 11. Staking Yield

**What it measures:** Real yield after accounting for token inflation (staking APR minus inflation rate).

**Scoring (1-10):** - 1-3: Negative real yield (inflation > staking rewards) - 4-6: 0-3% real yield - 7-8: 3-10% real yield - 9-10: >10% real yield from protocol revenue (not inflation)

**Why it matters:** Positive real yield means stakers are genuinely earning from protocol economics, not just being diluted. High real yields attract capital and reduce circulating supply.

**Top scorers:** Lido (stETH), Rocket Pool, GMX, Synthetix

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## 12. TVL Trend

**What it measures:** Direction and magnitude of total value locked over the past 90 days.

**Scoring (1-10):** - 1-3: TVL declining >30% - 4-6: Flat or <10% growth - 7-8: 10-50% growth - 9-10: >50% growth with new all-time highs

**Why it matters:** TVL trend indicates capital inflows or outflows. Growing TVL suggests the protocol is attracting liquidity, which often precedes price appreciation. However, we adjust for incentive-driven TVL (e.g., point farming).

**Top scorers:** EigenLayer, Ether.fi, Solana DeFi protocols

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## 13. Active Users

**What it measures:** Daily active users (DAU) or unique wallet interactions over 30 days.

**Scoring (1-10):** - 1-3: <1,000 DAU - 4-6: 1,000-10,000 - 7-8: 10,000-100,000 - 9-10: >100,000 DAU

**Why it matters:** User activity is the lifeblood of any protocol. High and growing DAU indicates genuine adoption. We use Dune Analytics and Artemis for cross-chain user counts.

**Top scorers:** Uniswap, PancakeSwap, dYdX, Aave

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## 14. Developer Activity

**What it measures:** GitHub commits, pull requests, and active developers over 90 days (excluding bots).

**Scoring (1-10):** - 1-3: <10 commits/month, <5 devs - 4-6: 10-100 commits, 5-20 devs - 7-8: 100-500 commits, 20-100 devs - 9-10: >500 commits, >100 active devs

**Why it matters:** Developer activity is a proxy for protocol health and innovation. Active development means bugs get fixed, features are added, and the project is alive. We use Santiment and CryptoMiso for data.

**Top scorers:** Ethereum, Polkadot, Cosmos, Solana, Chainlink

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## 15. Ecosystem Growth

**What it measures:** Number of dApps, integrations, and partnerships added in the last quarter.

**Scoring (1-10):** - 1-3: No new integrations - 4-6: 1-5 new dApps/partnerships - 7-8: 5-20 new integrations - 9-10: >20 new dApps, major partnerships (e.g., TradFi, L2s)

**Why it matters:** A growing ecosystem creates network effects. More dApps attract more users, which attracts more developers. This variable captures the flywheel effect.

**Top scorers:** Solana, Arbitrum, Base, Avalanche

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## 16. Market Share

**What it measures:** Protocol's share of its sector (e.g., DEX volume, lending TVL, NFT marketplace volume).

**Scoring (1-10):** - 1-3: <1% market share - 4-6: 1-10% - 7-8: 10-30% - 9-10: >30% (dominant player)

**Why it matters:** Market leaders tend to maintain their position due to liquidity and brand effects. High market share provides pricing power and resilience against competitors.

**Top scorers:** Uniswap (DEX), Aave (lending), OpenSea (NFTs), Lido (liquid staking)

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