Tokenomics

Tokenomics Analysis

When to Activate

• Evaluating a token's supply dynamics, emission schedule, and value accrual mechanisms
• Assessing vesting unlock schedules and their potential market impact
• Analyzing inflation/deflation mechanics and burn mechanisms
• Comparing governance token designs and fee distribution models
• Due diligence on new token launches, airdrops, or protocol incentive programs

Core Concepts

Supply Framework

Supply Definitions:

• Max supply — hard cap on total tokens that will ever exist (BTC: 21M, not all tokens have a cap)
• Total supply — tokens minted minus tokens burned (includes locked/unvested tokens)
• Circulating supply — tokens available for trading on the open market
• Fully diluted valuation (FDV) — price * max supply (or total supply if no max); represents worst-case dilution
• MC/FDV ratio — circulating market cap / FDV; low ratio means significant future dilution

Critical Insight: A token with $100M market cap and $2B FDV has 95% of supply yet to enter circulation. This overhang suppresses long-term price appreciation unless demand growth outpaces supply inflation.

Emission and Inflation

Emission Schedules:

• Fixed schedule — predetermined, immutable (BTC halving every 210,000 blocks)
• Governance-controlled — community votes on emission rates (many DeFi protocols)
• Demand-based — emissions adjust based on protocol metrics (Ethereum post-merge: issuance ~ staking participation)
• Tail emission — small perpetual inflation after initial distribution (Monero: 0.6 XMR/block forever)

Inflation Rate Calculation:

Annual inflation = (new tokens minted per year) / circulating supply
Real inflation = nominal inflation - burn rate
Effective inflation = real inflation adjusted for staking lockup

Inflation Impact Framework:

• 50% annual: unsustainable; typically farm-and-dump dynamics

Vesting Schedules

Standard Vesting Components:

• Cliff — period before any tokens unlock (typically 6-12 months)
• Linear vesting — tokens unlock proportionally over time after cliff
• Unlock events — discrete large unlocks (e.g., 25% at TGE, then monthly for 24 months)

Market Impact Assessment:

Unlock impact score = (tokens unlocking / daily trading volume) * recipient_sell_probability

Recipient sell probability by category:
- Team/founders: 30-50% (incentivized to hold, but need liquidity)
- VCs/investors: 50-80% (mandate to return capital, often hedge)
- Ecosystem/community: 10-30% (typically smaller holders, mixed behavior)
- Treasury: 5-15% (usually programmatic spending, not market selling)

Red Flags in Vesting:

• Multiple large unlocks clustered in same month
• Team allocation >25% of total supply
• Investor cost basis far below current price (high incentive to sell)
• No lockup for advisory tokens
• Vesting acceleration clauses tied to token price milestones

Value Accrual Mechanisms

Fee Distribution Models:

• Direct fee sharing — protocol fees distributed to token stakers (e.g., GMX: 30% of fees to GMX stakers)
• Buyback and distribute — protocol buys tokens on market, distributes to stakers
• Buyback and burn — protocol buys and burns tokens, reducing supply (deflationary)
• Fee switch — governance can activate fee sharing (Uniswap: fee switch exists but not activated)
• veToken model — lock tokens for voting power and fee share (Curve: veCRV)

Value Accrual Analysis:

Protocol P/E = FDV / annualized protocol revenue
Protocol P/S = FDV / annualized protocol fees
Token holder yield = fees distributed to stakers / staked token market cap
Real yield = yield from actual revenue (not token emissions)

Governance Token Economics

Governance Token Functions:

1. Voting on protocol parameters (interest rates, collateral factors)
2. Fee distribution rights
3. Treasury allocation decisions
4. Protocol upgrade approval
5. Gauge/emission directing (Curve model)

Governance Token Valuation Drivers:

• Revenue capture (current and potential via fee switch)
• Treasury value per token
• Voting power value (bribery markets like Votium price governance power directly)
• Growth optionality (new products, chains, partnerships)

Methodology

Token Evaluation Process

1. Map the supply schedule — chart tokens entering circulation over 5 years
2. Identify unlock events — mark major vesting cliffs on calendar, calculate volume-relative impact
3. Calculate real inflation — subtract burns and permanent lockups from gross emission
4. Assess value accrual — quantify fee revenue, distribution mechanism, and token holder capture rate
5. Compare valuations — benchmark P/E, P/S, and FDV/revenue against comparable protocols
6. Model scenarios — bull case (demand grows faster than supply), base case, bear case (emission dumping)

Supply Shock Analysis

1. Calculate daily emission rate in USD terms
2. Compare to average daily trading volume
3. Emission/volume ratio > 5%: significant sell pressure
4. Identify natural buyers (stakers, governance lockers, treasury)
5. Net selling pressure = emission - natural absorption
6. Project supply schedule against demand growth scenarios

Examples

Example 1: Deflationary Analysis (ETH Post-Merge)

Pre-merge ETH inflation: ~4.3% annually (PoW issuance)
Post-merge ETH:
- PoS issuance: ~0.5% annually (varies with staking ratio)
- EIP-1559 burn: ~0.5-2.0% annually (varies with network usage)
- Net inflation: -0.5% to +0.3% (often deflationary during high usage)

Assessment: ETH achieved "ultrasound money" narrative.
Supply is structurally declining during high-activity periods.
Positive feedback loop: more usage = more burn = less supply = higher price.
Key risk: if L2s capture most activity, L1 burn decreases.

Example 2: Vesting Unlock Impact

Token: PROJECT_X
Current price: $5.00
Circulating supply: 100M tokens ($500M MC)
FDV: $2.5B (500M max supply)
Daily volume: $20M

Upcoming unlock: 50M tokens (VC round at $0.50/token)
VC cost basis: $0.50 (10x profit at current price)
Expected sell pressure: 50M * $5 * 60% sell probability = $150M

Analysis:
- $150M selling into $20M daily volume = 7.5 days of volume
- Even with 20% market impact absorption, price pressure is severe
- Historical pattern: similar unlocks cause 20-40% drawdowns
- Strategy: reduce position 2 weeks before unlock, re-enter after
  selling pressure subsides (typically 2-4 weeks post-unlock)

Example 3: veToken Model Valuation

Protocol: Curve Finance
Annual trading fees: $150M
CRV staker share: 50% = $75M to veCRV holders
Total veCRV: 500M CRV locked (average 3 years)
veCRV market cap: $250M

Staking yield: $75M / $250M = 30% real yield
Additional value: bribe revenue ($100M+ annually on Votium)
Total yield: ($75M + $100M) / $250M = 70%

Assessment: High real yield suggests undervaluation OR
high risk premium. Risks include governance attacks,
competing AMMs, and regulatory uncertainty around
the bribery mechanism.

Quality Gate

Before making investment decisions based on tokenomics, verify:

• [ ] Supply schedule data sourced from verified smart contracts, not just whitepaper claims
• [ ] Vesting contracts are immutable or have transparent governance for changes
• [ ] FDV calculation includes all possible supply sources (treasury, ecosystem fund, future emissions)
• [ ] Burn mechanism is verifiable on-chain, not just claimed in documentation
• [ ] Fee distribution is live and auditable, not a future "fee switch" promise
• [ ] Inflation calculations account for all emission sources (staking rewards, liquidity mining, grants)
• [ ] Governance centralization assessed — can a small group of holders control key decisions?
• [ ] Comparable protocol valuations are on an apples-to-apples basis (same metrics, same chain, similar stage)
• [ ] Token utility is genuine and not easily replicated without the token
• [ ] Legal/regulatory status of fee distribution mechanism is considered (securities classification risk)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: brainbytes-dev
• Source: brainbytes-dev/everything-claude-trading
• License: MIT

Install and usage instructions live in the source repository linked above.