Gadu desmitiem ilgi investori paļāvās uz pārbaudītiem metodēm aktīvu novērtēšanai: diskontēto naudas plūsmu (DCF) akcijām, nomas ienesīgumu nekustamajam īpašumam un ģeopolitiskos piegādes ierobežojumus precēm, piemēram, naftai. Šie modeļi darbojas, jo tie balstās uz paredzamiem ievaddatiem — naudas plūsmu, procentu likmēm vai fiziskajām krājumiem.
Tomēr Bitkoins rada unikālu izaicinājumu. Tam nav peļņas pārskata, tas negenerē cetkvarļa ieņēmumus un pastāv pilnībā digitālajā pasaulē. Tas darbojas vienlaikus kā jauns monetārais tīkls, rets digitāls prece un ārkārtīgi svārstīgs izaugsmes aktīvs. Mēģinājums piemērot tradicionālos modeļus, piemēram, cena/peļņa (P/E) attiecību, ir bezcerīgs.
Lai pārietu aiz spekulējošām cenu minēšanām un izstrādātu spēcīgu investīciju teoriju, moderniem kripto analītiķiem jāpieņem specializēti rīku komplekti. Šajā rakstā tiek izpētīti divi galvenie Bitkoina novērtēšanas pīlāri: Uz blokķēdes modeļi, kas analizē tīkla vietējo aktivitāti un psiholoģiju, un Makroekonomiskie modeļi, kas ierindo Bitkoina globālajā finanšu ainavā. Sintetizējot šīs pieejas, investori var identificēt skaidras pārvērtēšanas vai novērtēšanas periodus, ļaujot veikt gudrākus, datu balstītus lēmumus.
The Challenge of Valuing a Digital Asset
Before diving into the tools, we must first accept that Bitcoin valuation requires a fundamental shift in perspective. We are not valuing a company; we are valuing a decentralized, self-sustaining monetary system.
Bitcoin as a Unique Asset Class
Traditional finance defines assets based on their characteristics. Is it a security (representing ownership)? Is it a commodity (a fungible physical good)? Is it a currency (a medium of exchange)?
Bitcoin exists in an intersection of these categories. Its fixed supply cap of 21 million coins establishes it as digitally scarce—a commodity feature. Its network transfer capabilities make it a currency. But most importantly, its value is derived not from cash flows but from the consensus of its users, the security of its decentralized network, and its increasing credibility as a long-term store of value.
This "consensus valuation" means that price movements are heavily influenced by the psychological state of the market—fear, greed, capitulation, and euphoria. On-chain analysis is specifically designed to measure this collective psychology.
Why Traditional Methods Fall Short
If you attempted to use DCF modeling on Bitcoin, the variables would be almost meaningless. What is the expected "growth rate" of a monetary network? What is its expected "dividend"?
Instead, Bitcoin’s value proposition rests on two pillars:
- Scarcity and Security: Measured by network metrics (hash rate, supply issuance, difficulty adjustments).
- Adoption and Investor Behavior: Measured by economic activity on the blockchain (transaction volume, wallet accumulation, holding periods).
The goal of modern valuation models is to provide context for the current market price by comparing it to underlying, fundamental metrics derived from the blockchain itself.
Pillar 1: On-Chain Valuation Models (The Inner Economy)
On-chain analysis uses publicly verifiable data recorded on the blockchain ledger. Unlike market data, which only tracks price and volume on exchanges, on-chain data tracks the movement of every single coin, providing deep insight into investor holding patterns and cost bases.
The core innovation in this field is the concept of Realized Capitalization, which is the foundation for almost all advanced on-chain metrics.
Understanding Market Cap vs. Realized Cap
The primary valuation discrepancy in Bitcoin markets is often between what the market says the coins are worth right now, and what the collective market paid for those coins historically.
Market Capitalization (Market Cap)
This is the figure everyone watches: Market Cap reflects the aggregate, instantaneous value assigned by the current market.
Realized Capitalization (Realized Cap)
Realized Cap is a much more robust, foundational metric. It calculates the value of the total circulating supply based on the price when each coin last moved (i.e., when it was last involved in an on-chain transaction).
- Example: If Coin A was bought and moved in 2013 when BTC was $100, its contribution to the Realized Cap is $100, even if the current price is $70,000. If Coin B moved yesterday at $70,000, its contribution is $70,000.
The implication: Realized Cap represents the aggregate cost basis of the network. It assumes that whenever a coin moves, that movement reflects a transaction where the holder paid a specific price for it. It strips out the influence of "lost" or long-dormant coins that might distort the Market Cap.
The MVRV Z-Score Explained
The Market Value to Realized Value (MVRV) ratio is perhaps the most famous and effective on-chain metric for identifying macro market tops and bottoms.
The MVRV ratio compares the instantaneous value (Market Cap) to the fundamental cost basis (Realized Cap).
- MVRV = 1: The market price exactly matches the average cost basis of all investors. This is often a zone of deep consolidation or fair value.
- MVRV > 1: The network is trading above its average cost basis, indicating aggregate unrealized profits.
- MVRV < 1: The network is trading below its average cost basis, indicating aggregate unrealized losses (capitulation).
MVRV Z-Score Interpretation
The Z-Score refinement takes the MVRV ratio and standardizes it, measuring how many standard deviations the ratio is above or below its historical average. This makes it easier to compare current market conditions to past extremes.
| Z-Score Zone | Interpretation | Investment Strategy Signal |
|---|---|---|
| Green Zone (e.g., < -1) | Market Value significantly below Realized Value. Extreme undervaluation; high probability of deep capitulation or macro bottom formation. | Accumulation Phase: Historically strong buying opportunity. |
| Neutral Zone (e.g., -1 to 2) | Market trading near or slightly above the cost basis. Fair value or early bull run. | Hold/DCA: Neutral market conditions. |
| Red Zone (e.g., > 5) | Market Value multiple standard deviations above Realized Value. Extreme overvaluation; euphoria and high probability of macro top formation. | Distribution Phase: Historically strong selling opportunity. |
Practical Use Case: During the sharp market downturns of 2020 and 2022, the MVRV Z-Score fell deep into the green zone, signaling that the instantaneous market price was so far below the collective cost basis that the market was statistically oversold—a textbook buying signal.
Net Unrealized Profit/Loss (NUPL)
While the MVRV Z-Score is excellent for statistical extremes, the Net Unrealized Profit/Loss (NUPL) provides a clear visualization of collective investor sentiment and market phase psychology.
NUPL is calculated by taking the relative difference between Market Cap and Realized Cap and normalizing it:
The resulting indicator is a simple visualization that shows the net amount of profit or loss held by the entire Bitcoin network at any given time.
NUPL Zone Interpretation:
- Capitulation (Deep Red/Orange): High net unrealized loss. Panic selling and full investor despair. Often signals the final stage of a bear market before recovery.
- Hope/Optimism (Yellow/Light Green): The market begins trading above its cost basis, but profits are modest. Investors begin to feel relief.
- Euphoria/Greed (Dark Green/Blue): High net unrealized profit. The vast majority of investors are sitting on huge gains. Historically, this precedes major distribution and macro tops as long-term holders realize profits.
NUPL is particularly useful for identifying behavioral shifts. When the NUPL line dips rapidly from "Optimism" back toward "Capitulation," it signals a significant shakeout where weak hands are forced to sell at a loss.
Supply Dynamics: The Puell Multiple and Hash Ribbon
While MVRV and NUPL focus on the demand side and investor psychology, other metrics focus on the supply side, particularly the behavior of miners, who are constant suppliers of new Bitcoin.
The Puell Multiple
The Puell Multiple measures the supply pressure coming from miners. It compares the daily issuance value of new coins (in USD) to the one-year moving average of that value.
- High Puell Multiple: Indicates that daily miner revenue is significantly higher than its annual average. This suggests that the current price is very profitable for miners, potentially incentivizing increased selling pressure (distribution). Historically seen near market tops.
- Low Puell Multiple: Indicates that daily miner revenue is depressed relative to its annual average. This suggests miners are struggling, leading to potential capitulation among inefficient miners. This forced shutdown reduces immediate selling pressure and often occurs near market bottoms.
The Hash Ribbon
The Hash Ribbon focuses on the operational health of the mining network (hash rate). When hash rate drops significantly, it means miners are turning off their machines, often due to low profitability. This typically signals a miner capitulation event.
Analysis: When the faster moving average of the hash rate crosses below the slower moving average, miner capitulation is occurring. Historically, the best buying opportunities (macro bottoms) occur shortly after the slower moving average begins to trend upward again, confirming that the weak hands have been shaken out and the worst of the bear market is over.
Pillar 2: Macroeconomic and External Valuation Models (The Global Context)
While on-chain metrics gauge the internal health and psychology of the Bitcoin network, they do not exist in a vacuum. Bitcoin is increasingly intertwined with global finance, requiring investors to integrate macroeconomic factors into their valuation thesis.
Stock-to-Flow (S2F) and its Limitations
The Stock-to-Flow model is one of the most famous attempts to assign a scarcity-driven valuation to Bitcoin, drawing inspiration from commodities like gold and silver.
Model Concept: S2F measures scarcity by comparing the existing supply ("Stock") to the rate at which new supply is created ("Flow").
- The Thesis: Because Bitcoin's "Flow" (new issuance) is cut in half every four years (the Halving), its S2F ratio increases dramatically over time. This increasing scarcity should, according to commodity theory, correlate with massive increases in price.
Critique and Usefulness: S2F accurately models the exponential growth of Bitcoin's scarcity, confirming its hard-money characteristics. However, the model has been criticized for being overly simplistic because it assumes:
- Constant and exponential demand growth forever.
- That scarcity alone drives value, ignoring systemic shocks or regulatory changes.
While S2F provides a useful baseline for the long-term potential valuation driven by scarcity, it is not a practical tool for market timing or predicting short-term cyclical peaks.
Modeling Institutional Capital Flows
Perhaps the most significant external valuation factor today is the influx of institutional capital. When large financial entities (asset managers, corporations, sovereign wealth funds) allocate capital to BTC, it represents massive, concentrated demand that quickly absorbs available market supply.
Institutional adoption fundamentally changes the valuation equation from "retail speculation" to "asset management."
Absorbing Available Float
When large, regulated investment vehicles (like Spot Bitcoin ETFs) launch, they require massive amounts of physical BTC to back their shares. This creates a "demand shock" on the available supply that retail investors typically buy on exchanges (the "float").
Valuation Impact: Valuation can be modeled based on supply absorption. If institutions consistently purchase more BTC daily than miners are producing, the floating supply shrinks. A smaller float means any new inflow of capital—even from retail—has a much greater impact on the price.
- Analyst Tool: Tracking Net Asset Value (NAV) flows into and out of regulated investment products (ETFs, ETPs, trusts). Consistent, high-volume inflows are a strong bullish signal for short-to-medium-term valuation, regardless of what on-chain metrics might say about short-term sentiment.
The "Corporate Treasury" Valuation
Another macroeconomic valuation approach involves assessing how much global corporate treasury reserves and sovereign wealth funds could potentially allocate to Bitcoin (often cited as 1% to 5% allocations).
This model doesn't predict price; rather, it sets a potential addressable market size. If Bitcoin captures even a fraction of the market cap of gold, global bond markets, or high-net-worth individual portfolios, the valuation implies orders of magnitude higher than today’s price. This approach frames BTC as a risk-hedging tool rather than a purely speculative asset.
Interpreting the Macro Environment
Bitcoin's valuation is highly sensitive to the global cost of capital and inflation expectations.
Interest Rates (The Cost of Capital)
When central banks raise interest rates, the cost of borrowing increases. This often hurts high-beta growth assets and assets without immediate cash flow (like Bitcoin).
- Low Rates: Encourage speculation and debt-fueled investment, favoring high-risk, high-reward assets like BTC.
- High Rates: Encourage risk-off behavior, favoring cash or short-term treasury bonds, acting as a gravitational drag on BTC valuation.
Valuation Tool: Monitoring the Federal Reserve’s policy statements and the trajectory of the Dollar Index (DXY). When the DXY is weak (signaling global liquidity is high), risk assets generally perform better.
Inflation and Devaluation
Bitcoin’s core valuation thesis is that its hard cap and verifiable scarcity make it a superior hedge against the devaluation of fiat currencies (inflation).
When macroeconomic indicators show persistent, elevated inflation, Bitcoin’s utility as a censorship-resistant store of value increases. This thesis is often measured by analyzing correlations. When the price of gold and Bitcoin move in tandem during periods of high monetary expansion, the market is temporarily valuing both as inflation hedges.
Datu sintēze: Kohēzīvas novērtēšanas teorijas veidošana
Izsmalcinātas novērtēšanas pieejas patiesais spēks nāk no datu trianguācijas — izmantojot vairākus modeļus, lai apstiprinātu kopīgu secinājumu. Paļaušanās uz vienu indikatoru, vai tas būtu S2F vai MVRV, pakļauj investoru augstam riskam, kad šis indikators neņem vērā nepiedalītus tirgus pārmaiņas (piem., pandēmijas stimulēšana, globāla institucionāla pieņemšana).
Trianguācijas nozīme
Spēcīgai investīciju teorijai nepieciešama krusteniska apstiprināšana starp uz blokķēdes un makroekonomiskajiem pīlāriem.
Piemērs 1: Makro dubļa apstiprināšana
Iedomājieties situāciju, kur:
- Uz blokķēdes metrikas: MVRV Z-Score ir dziļi zaļajā zonā, un NUPL norāda "Kapitulāciju." (Signalizē statistisku novērtēšanu un ekstrēmas bailes.)
- Piegādes dinamika: Puell Multiple ir zems, un Hash Ribbon rāda raktuvju atveseļošanās sākumu. (Signalizē, ka piegādes spiediens mazinās.)
- Makro/ārējie faktori: Inflācijas cerības ir augstas, un centrālā banka signalizē pauzi procentu likmju paaugstināšanā. (Signalizē labvēlīgus makro vēja spēkus un palielinātu lietderību kā hedžu.)
Kad visi trīs datu punkti sakrīt, arguments par nozīmīgu uzkrāšanas periodu (makro dubulis) ir ārkārtīgi spēcīgs.
Piemērs 2: Pārvērtēšanas apstiprināšana
Apsveriet citu scenāriju:
- Uz blokķēdes metrikas: MVRV Z-Score pieskaras sarkanajai zonai, un NUPL ir "Euforijā." (Signalizē pārdotas apstākļus.)
- Piegādes dinamika: Ilgtermiņa turētāju (LTH) metrikas rāda augstu izplatīšanu (ilgtermiņa turētāji pārdod lēti iegūtas monētas). (Signalizē, ka piegādes absorbēšana neizdodas.)
- Makro/ārējie faktori: Centrālā banka paziņo jaunu kvantitatīvā savilkšanās programmu, un regulēti ETF rāda konsekventas neto aizplūdes. (Signalizē galvenā kapitāla aizplūdi no aktīva.)
Šī sakritība liecina, ka riska-atlīdzības attiecība ir sliktāka, un izplatīšanas fāze (pārdošana) ir pamatota, neatkarīgi no galveno mediju uzpūstās baumām.
Novērtēšanas zonu identificēšana, nevis cenu punktus
Izsmalcināti investori izmanto šos modeļus, lai identificētu plašas vērtības zonas— uzkrāšanas zonas, taisnīgās vērtības zonas un izplatīšanas zonas —, nevis prognozējot specifisku cenu mērķi konkrētam datumam.
- Uzkrāšanas zona: Definēta ar MVRV Z-Score zaļajā/zilajā apgabalā, NUPL kapitulācijā un zemām institucionālām aizplūdēm. Tas ir periods, lai pakāpeniski uzbūvētu pozīciju.
- Izplatīšanas zona: Definēta ar MVRV Z-Score sarkanajā/dzeltenajā apgabalā, NUPL euforijā un pieaugošu ilgtermiņa turētāju pārdošanu. Tas ir periods, lai pakāpeniski realizētu peļņu.
Emocionālo lēmumu pieņemšanas izvairīšanās
Šo novērtēšanas modeļu galvenā funkcija ir sniegt objektīvu enkuru, kad svārstīgums un emocionālās naratīvi ir savā virsotnē.
Ekstrēmu tirgus baiļu periodos (kad cena sabrūk), uz blokķēdes metrikas bieži apstiprina, ka cena ir statistiski lēta, sniedzot pārliecību, lai pirktu pret pūli. Pretēji, mediju vadītās euforijas periodos MVRV Z-Score brīdina, ka tirgus vēsturiski ir sasniedzis virsotni šajos līmeņos, sniedzot pamatojumu peļņas realizēšanai, kad tas psiholoģiski ir visgrūtāk.
Secinājums: Datu balstīta pieeja digitāliem aktīviem
Bitkoina novērtēšanai nepieciešams atteikties no tradicionālo finanšu rīkiem un pieņemt jaunu hibrīdu analītisko ietvaru. Apgūstot pamatuz blokķēdes metrikas— piemēram, MVRV Z-Score, kas salīdzina momentāno vērtību ar izmaksu bāzi, un NUPL, kas seko investora psiholoģijai —, investori iegūst unikālu ieskatu tīkla iekšējā darbībā.
Apvienojot šo iekšējo skatu ar makroekonomisko modeļu izpratni — sekojot institucionālajām pieplūdēm, inflācijas cerībām un procentu likmju politikām —, iegūst pilnīgu ainu.
Mērķis nav atrast vienīgo, burvju skaitli, par kuru Bitkoins "vajadzētu" būt vērts, bet gan izmantot objektīvus datus, lai definētu, kur mēs esam tirgus ciklā. Trianguējot šos atšķirīgos novērtēšanas rīkus, investori var konstruēt spēcīgu, pašsuverēnu teoriju, pārliecināti navigējot sarežģīto, svārstīgo digitālās ekonomikas ainavu.