Crypto analysis

Crypto is the one asset class whose entire ledger is public. Every transaction, every holder cohort's cost basis, every coin's age is on chain, which permits analysis equities cannot dream of. It is also a class where most assets have no cash flows and no claim on anything, which makes the FIRST analytical act deciding what kind of object you are even looking at.

The taxonomy fork: what kind of thing is this?

Type	Examples	The right analytical frame
Monetary asset	Bitcoin	Analyzed like gold: adoption, scarcity schedule, real rates, cost basis of holders
Fee-earning protocol	Ethereum, Solana	Analyzed like infrastructure: fee revenue, take rate, issuance vs burn, staking yield
Application token	DEX and app tokens	Analyzed like equity IF value accrues to the token; often it does not, and that is the analysis
Stablecoin	USDC, USDT	Analyzed like a money-market fund: reserves, redemption mechanics, banking rails

The category error is the biggest loss generator

Applying monetary-asset logic ("digital gold") to a token whose protocol earns no fees and shares none of them is how most crypto losses happen. The first question is never "will the tech win?" but "if it wins, does THIS TOKEN capture any of it?" Read the tokenomics: supply schedule, unlock calendar, and whether fees buy back, burn, or bypass the token entirely.

On-chain analysis: the transparent ledger

Because the ledger is public, analysts reconstruct what every coin last moved at, giving a live map of the market's cost basis. The workhorse metrics:

Realized price: the average acquisition price of all coins, weighting each at its last on-chain move. The market's aggregate cost basis; historically, spot falling to realized price has marked bear-market floors, because the average holder is at break-even and capitulation exhausts.
MVRV (market value / realized value): how far price sits above the aggregate cost basis. Extremes flag euphoria and despair better than price alone, because they measure unrealized profit begging to be taken.
SOPR (spent output profit ratio): whether coins moving today are being sold at a profit or a loss. Persistent loss-selling is capitulation in progress.
Cohorts by age and size: long-term holders (coins >155 days old) versus short-term; their supply shares show accumulation and distribution cycles that repeat with striking regularity.
Exchange balances: coins on exchanges are sellable inventory; multi-year drains suggest holders moving to cold storage, tightening float.

The derivatives complex: leverage on display

Crypto's dominant instrument is the perpetual future, a future that never expires, tethered to spot by the funding rate: when perps trade above spot, longs pay shorts a periodic fee, and vice versa. That makes positioning legible in real time:

Reading the leverage gauges

funding rate      persistent high positive = crowded leveraged longs
                  (paying to stay long); classic pre-flush condition

open interest     total leveraged exposure; spikes into a rally mean
                  the move is levered, not spot-driven, and can cascade

liquidations      forced closes; cascades are crypto's circuit-breaker
                  moments, and post-cascade prices are cleaner entries

Professionals read funding, open interest and liquidation maps the way commodity desks read positioning: not as direction signals but as measures of how crowded and fragile the current move is.

Fundamentals, where they exist

For fee-earning protocols, real fundamental analysis is possible and increasingly standard: fee revenue and its growth, the split between what the protocol keeps and what it pays for security, issuance versus burn (net supply growth is the dilution line), and staking yield as the class's bond-like benchmark. The discipline resembles analyzing a young exchange or payment network: value the activity, then check whether the token has a claim on it.

Cycles, halvings, and the flow regime

Bitcoin's supply issuance halves on a fixed four-year schedule, and the class has traded in rough four-year cycles around it, though each cycle's driver has differed and the sample size is four, which honest analysts say out loud. The structural change of recent years is institutional flow: spot ETFs made allocation a brokerage decision, so ETF flows, corporate treasuries and, at the margin, sovereign interest now sit alongside on-chain cohorts as the demand ledger. Macro correlation follows the regime: in liquidity-driven markets crypto trades like a high-beta risk asset off real rates; in stress it has not yet earned gold's haven behavior.

What honestly cannot be valued

There is no cash-flow anchor for monetary assets. Bitcoin's value is a monetary premium: what the world will pay for a neutral, scarce, portable settlement asset. Frameworks (gold parity, energy cost) bound the story; none of them price it. Position sizing, not precision, is the honest response.
Token prices can detach from protocol success indefinitely when the tokenomics route value elsewhere.
Tail risks are structural: regulation, exchange and bridge failures, and key custody. Diversification within crypto does not diversify these; they are class-level risks and belong in the class-level position size.

Glossary for this guide

Tokenomics: A token's economic constitution: supply schedule, unlock calendar, and whether protocol fees buy back, burn, or bypass the token. The first read, because a winning protocol with value routed elsewhere leaves the token worthless.
Realized price: The average acquisition cost of all coins, weighting each at its last on-chain move: the market's aggregate cost basis, computable only because the ledger is public. Spot meeting it has historically marked bear-market floors.
MVRV: Market value over realized value: how far price sits above the aggregate cost basis, i.e. how much unrealized profit is begging to be taken. Extremes flag euphoria and capitulation better than price alone.
SOPR: Spent output profit ratio: whether coins moving on-chain today are being sold at a profit or a loss. Persistent readings below one are capitulation in progress.
Long-term holders: The cohort holding coins older than ~155 days, statistically the strong hands. Their accumulation and distribution phases have repeated across every cycle and are readable directly from the chain.
Exchange balances: Coins sitting on exchanges: sellable inventory. Multi-year drains into self-custody tighten the tradable float; sudden inflows historically precede selling.
Perpetual future: Crypto's dominant instrument: a future that never expires, tethered to spot by periodic funding payments between longs and shorts.
Funding rate: The periodic payment keeping perpetual futures at spot: positive means longs pay shorts. Persistently high funding is a crowded, paying-to-stay-long market, the classic pre-flush condition.
Open interest: The count of derivative contracts outstanding: total leveraged exposure. Rising with price means a levered move; a cascade of forced closes is how levered moves end.
Liquidation cascade: Forced closes triggering further forced closes as price gaps through leverage levels. Crypto's version of a margin-call spiral, and why open interest spikes resolve violently.
Staking yield: The return for locking tokens to secure a proof-of-stake network: the asset class's native benchmark rate, against which other crypto yields get judged.
Issuance vs burn: New tokens created (dilution) against tokens destroyed by fee burning. The net is the protocol's supply growth, the crypto analogue of share issuance versus buybacks.
Halving: Bitcoin's scheduled 50% cut to new issuance every four years. The class has traded in rough cycles around it, on a sample size of four, which honest analysts say out loud.
Monetary premium: The part of an asset's price owed to its use as money rather than its utility: most of gold's value and nearly all of bitcoin's. It has no cash-flow anchor, which is a sizing instruction, not a dismissal.