TBL Guide to On-Chain Bitcoin Signals

What On-Chain Data Actually Is

Bitcoin is a public ledger. Every transaction, every address, every coin movement is recorded on chain and accessible to anyone running a node or querying the right data set. The result is a rare combination in financial markets, a fully transparent asset whose holder behavior can be measured directly rather than inferred from surveys.

On-chain analysis is the discipline of reading that ledger to understand what holders are doing in real time. The questions it can answer include who is buying, who is selling, at what prices, with what conviction, whether long-term holders are distributing or accumulating, where the broad cost basis of the holder set lies, and which cohorts are underwater. These are not opinion questions, and the data exists.

Why On-Chain Matters for Cycle Positioning

Bitcoin's cycles are not random. They have historically been anchored to the pre-programmed block subsidy, which halves every 210,000 blocks, or roughly every four years. Each halving lowers the inflation rate of the circulating supply, which in turn shapes supply and demand. In the early years that effect was mechanical and large, because newly issued coins were a meaningful share of the total supply. Today new issuance is small relative to the coins already circulating, so the Halving no longer moves the circulating supply the way it once did. Yet the cyclical pattern persists, and it now plays out through holder cohorts rather than through issuance. Early in a cycle, supply is concentrated in long-term holders who accumulated through the prior bear market. As price rises, those holders gradually distribute into strength, and supply migrates to the short-term holders chasing the move. Late in the cycle the short-term cohort is large and its cost basis is high, which leaves the market structurally fragile: even a small drawdown puts a wide swath of recent buyers underwater at once.

This pattern repeats across cycles with enough consistency that it can be measured. On-chain valuation models read where in the cycle Bitcoin currently sits by mapping price against the cost-basis distribution of holders, against historical realized-price relationships, and against statistical bands fit to the long-run trend.

The TBL framework combines several of these models into a single composite score, because no individual on-chain model is reliable in isolation. Each captures a particular slice of holder behavior, and their disagreements are themselves informative.

The Seven Quantile Valuation Models

TBL's Master Valuation combines seven quantile-based on-chain valuation models into a single 0-to-100 score. Each model independently maps Bitcoin's current price to a percentile of its historical distribution against a different benchmark, and the composite averages across the seven to produce a single reading of where the asset sits.

MVRV (Market Value to Realized Value). The ratio of Bitcoin's market capitalization to its realized capitalization, where realized cap is the sum of every coin valued at the price it last moved. MVRV measures how far above or below the aggregate cost basis Bitcoin is currently trading. High MVRV historically corresponds to cycle tops, low MVRV to cycle bottoms.

Power Law. The long-run trend fit through Bitcoin's price history, with the asset's price treated as a power-law function of time since inception. The Power Law model gives a structural reference level that filters out cycle noise.

Simple Moving Average bands. Price relative to long-run moving averages, with statistical bands above and below the mean that historically have contained cycle ranges. Used to identify regime extremes.

CVDD (Cumulative Value Days Destroyed). A bottom-finding model that tracks the cumulative dollar-value of coin-days destroyed in transactions. CVDD has historically marked cycle floors with notable accuracy.

Difficulty Regression. Bitcoin's price relative to a regression on mining difficulty, which captures the production-cost floor that has historically supported cycle lows.

True Market Mean. The average cost basis of Bitcoin's actively circulating supply, derived from the Cointime Economics framework, which discounts long-dormant and lost coins so the mean reflects the holders actually setting price rather than the full coin base. Price relative to the True Market Mean works like a more responsive MVRV: trading well above it has aligned with cycle tops, and trading below it with cycle bottoms.

Puell Multiple. The ratio of daily miner revenue in dollar terms to its 365-day moving average. The Puell Multiple identifies periods of unusual miner profitability (cycle tops) and unusual miner stress (cycle bottoms).

The Master Valuation score normalizes each of the seven onto a 0-to-100 scale, then combines them into a composite that smooths out the individual models' false signals and produces a single read of cycle position.

URPD and the Invested-Capital Version

URPD (UTXO Realized Price Distribution) is a histogram of Bitcoin supply organized by the price at which each coin last moved. URPD shows you where the supply is sitting in cost-basis terms, which clusters of holders are concentrated at which price levels, and where the natural support and resistance zones lie based on conviction.

The standard URPD chart weighs every Bitcoin equally. The TBL framework uses an invested-capital weighted version (URPD IC) that scales each cluster by the dollar value invested at that price level, not just the BTC count. The invested-capital version reveals a different picture of holder concentration, because large coin counts at low prices represent less actual capital at risk than smaller counts at higher prices. For reading whether a price level is structurally meaningful, the invested-capital version is the more useful read.

Cohort Behavior

Beyond the valuation composite, on-chain data lets you read the behavior of specific holder cohorts.

Short-term holder MVRV. The MVRV ratio restricted to coins held less than 155 days. STH MVRV captures the profit-or-loss state of the most recently active cohort, which is the cohort that drives most of Bitcoin's marginal price action.

SOPR (Spent Output Profit Ratio). A read of whether coins moving on a given day are being spent at a profit or a loss. SOPR variants exist for the aggregate market, for short-term holders specifically, and for long-term holders.

Long-term holder cost-basis spread. The spread between long-term holder cost basis and short-term holder cost basis describes the gap between conviction money and recent money. A wide spread suggests recent entrants are paying meaningfully more than the durable holder set. A narrow spread suggests the cohorts are converging.

Long-term holder capitulation. A measurable shift in long-term holder behavior from distribution to accumulation, which historically has marked cycle bottoms more reliably than price action alone.

Rookies versus Veterans. A relabeling of the holder base by experience rather than by coin age. The standard 155-day short-term and long-term holder split is purely a function of time, so the labels flip during bear markets: rookies who bought the top age into long-term holder supply just by sitting still, while veterans buying the dip have their fresh coins labeled short-term. TBL's framework instead defines Rookie Supply as coins held roughly six months to three years and Veteran Supply as coins held longer than three years, which separates holders who have weathered a full cycle from those who have not. The signal comes from each cohort's spending: a spike in rookie spending after a drawdown is a Rookie Flush, while the more reliable bottom marker is Veteran Capitulation, when even three-year-plus holders are forced to sell.

These cohort reads are the closest available approximation to understanding what each part of the market is doing, and they integrate with the macro liquidity layer in the broader TBL framework.