The framework
One question, asked with discipline.
Bitcoin Field Theory exists to identify, classify, measure, and validate the economic forces that determine Bitcoin’s market value. The goal is not more indicators. The goal is the smallest set of independent, economically meaningful evidence capable of explaining Bitcoin’s price - with every step reproducible by anyone.
Why “field theory”
In physics, what you observe at any point is the sum of independent fields acting at once - gravity doesn’t argue with electromagnetism; they superpose. We treat Bitcoin’s market value the same way: a small number of independent economic forces, acting simultaneously, produce the price you see.
- A field is a real economic force - the time-trend of network growth, the aggregate cost basis of holders, capital flows, adoption, treasury accumulation.
- An instrument is a way to measure a field. Instruments compete; most famous indicators are competing instruments pointed at the same field.
- A reading is a validated index built from admitted instruments.
- Unification - the long-term goal - is the smallest set of independent fields that explains observed value.
The central claim
The market publishes dozens of “valuation indicators,” but there are only about three distinct valuation phenomena to measure. Everything else explains, contextualizes - or echoes.
That asymmetry is the whole project. When indicators are echoes of each other, stacking them adds confidence without adding evidence. The framework’s job is to tell the difference, formally.
The admission pipeline
Every instrument that wants into the framework faces the same gauntlet, in public, with the verdict published either way:
- Locate the field. The instrument must name the real phenomenon it estimates. No phenomenon, no test.
- Pre-register. Exact formula, every parameter, and a falsifiable failure condition - dated before any testing. This kills the oldest trick in the field: tuning an indicator until it fits history, then presenting the fit as discovery.
- Reproducibility. Public or documented data sources; the full pipeline disclosed; independently rebuildable. Instruments that peek at the future (full-history statistics) are evaluated in point-in-time form or not at all.
- Independence. The instrument must add out-of-sample information the admitted set doesn’t already carry. Correlated re-measurements are rejected as echoes, however famous.
- Validation. The instrument must behave as its field requires - a valuation instrument must mean-revert - and survive parameter perturbation.
Verdicts are permanent records: ADMIT-PRIMARY, ADMIT-CHALLENGER, CLASSIFY, REJECT, or DOWNGRADE. Admitted instruments are re-tested on a cadence and can lose their seat. Nothing is grandfathered.
The fields under study
| Field | Observes | Candidate instruments | Status |
|---|---|---|---|
| Time-trend | Price vs the long-run growth trajectory | Power Law (admitted primary) | ADMITTED |
| Cost basis | Price vs aggregate holder cost | MVRV Z-Score, NUPL | REJECTED (AR-001/002) |
| Holder age | Conviction in coin dormancy | RHODL, Reserve Risk | QUEUED |
| Liquidity | Net capital flow, supply tightness | ETF flows, stablecoin supply, exchange balances | QUEUED |
| Adoption | Real economic usage growth | Active addresses, settlement volume | QUEUED |
| Treasury | Institutional balance-sheet demand | Corporate holdings, flows, mNAV | QUEUED |
| Production | Miner economics and security spend | Puell Multiple, Hash Ribbons | QUEUED |
Only valuation-class fields may contribute to the headline answer of “cheap or expensive.” Driver and context fields inform and explain - they never blend into the verdict. And famous constructs with no economic field behind them (chart patterns, sentiment composites) are named and excluded, so their absence is a decision, not an oversight.
The commitments
The framework operates under ten standing commitments - reality before models, phenomena before measurements, evidence before conclusions, transparency before complexity, reproducibility before authority, uncertainty before certainty, revision before dogma, intellectual humility, open critique, and long-term stewardship. Two consequences worth making explicit:
- Rejections are published with the same care as admissions. A documented rejection of a famous indicator is among the most valuable artifacts we produce - and the first one is already on the record.
- The methodology is never paywalled. Anything we may someday charge for is convenience - alerts, delivery, tooling. The formulas, the weights, and the ability to reproduce any published number remain public, permanently.
Honesty about limits
Bitcoin offers one history and roughly four full cycles. Every statistical result here is drawn from a small effective sample, and we say so in every publication. The standards reduce self-deception; they do not manufacture certainty. When the data says no - as it already has - we publish the no.