Fundamental & on-chain analysis
Tokenomics, dilution math, and the on-chain footprints that stocks could never show you.
Tokenomics: reading the supply side
Price needs buyers to rise — but it only needs unlocked supply to fall. Tokenomics is the study of the sell side: how many tokens exist, who holds them, at what cost basis, and on what schedule they unlock.
The red flags repeat across every cycle: a small float with a huge locked allocation (early investors waiting to exit), aggressive emissions paying unsustainable yields, and cliff unlocks where months of supply hit the market on one date. None of these need bad intent — just rational holders selling when they finally can.
| Check | Healthy | Red flag |
|---|---|---|
| Float vs total supply | Most supply circulating | <20% circulating, rest locked |
| Insider allocation | Modest, long vesting | 30%+ to insiders, short cliffs |
| Emissions | Low, tapering | High APY paid in the token itself |
| Unlock schedule | Gradual, linear | Cliff unlocks of months of volume |
Why is a large cliff unlock bearish even if the team has good intentions?
FDV vs market cap: dilution math
Market cap prices the circulating float. Fully diluted valuation (FDV) prices *all* tokens that will ever exist at today's price. The gap between them is future dilution — supply that will be sold into your position over time.
A token at $100M market cap with $2B FDV is not 'cheap': you are paying for a claim that will be diluted 20× as supply unlocks. Compare FDVs, not market caps, when comparing projects — and treat a high FDV/mcap ratio as a countdown timer.
A token has a $100M market cap and a $2B FDV. What does that ratio tell you?
On-chain signals
Crypto's unfair analytical advantage: the ledger is public. You can watch adoption, accumulation, and distribution directly instead of waiting for quarterly reports. Four footprints carry most of the signal.
Active addresses — network usage trend; divergence from price matters most. Exchange flows — coins moving *to* exchanges are potential sell supply; sustained outflows suggest accumulation into cold storage. Whale movements — large old wallets waking up precede volatility. Realized profit/loss — whether coins moving today are being sold at a gain or a loss (capitulation looks like heavy realized losses).
Sustained exchange outflows
Coins leaving to self-custody — holders positioning to hold, not sell.
Large inflow spike
Supply arriving at the point of sale. Often precedes selling pressure.
Price up, active addresses flat
Speculation without adoption — rallies without usage age badly.
Heavy realized losses at a low
Capitulation: weak hands selling to strong ones. Historically near bottoms.
Why is a spike in exchange inflows generally read as bearish?