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Money or Debt Newsletter · Jun 24, 2026

Realized Capital Log-Periodicity

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Stephen Perrenod · Money or Debt Newsletter

Executive Summary

Bitcoin’s power-law growth has been extensively studied, but less attention has been paid to the structure of the residuals around that trend. Previous work identified a log-periodic component in Bitcoin price, suggesting the presence of discrete scale invariance (DSI) with a preferred scaling ratio near a log periodic spacing parameter λ ≈ 2.

And in this article last week

I identified clear power law behavior for both Realized Cap and Realized Cap per Bitcoin, with the latter having a power law exponent of 5.81 and R2 = 0.965.

The new result presented here is that the same log-periodic structure seen in Bitcoin price residuals, after removing the power law, appears in Realized Capitalization per Bitcoin (RC/BTC), a fundamentally different measure representing accumulated capital commitment rather than market valuation.

Using daily Coin Metrics Community Data (Creative Commons Attribution License) data through 2026, RC/BTC residuals exhibit a dominant log-periodic frequency near ω ≈ 8.8, corresponding to λ ≈ 2.04, virtually identical to values previously measured in Bitcoin price. A simple log-periodic model explains roughly 44% of the residual variance around the RC/BTC power law.

Wavelet analysis further reveals that the dominant frequency evolves smoothly through time rather than remaining perfectly constant. Most importantly, cross-wavelet analysis shows that price residuals and RC/BTC residuals share the same DSI structure and remain strongly phase-locked. Short-term movements are led by price, while longer-horizon causality runs in both directions, consistent with a delayed feedback system linking market valuation and trust-capital accumulation.

The implication is that Bitcoin’s famous boom-bust cycles may not originate solely in price. They appear to be embedded within the capital formation process itself.

Introduction

Previous work established that Bitcoin price follows a power law and exhibits residual log-periodic structure consistent with discrete scale invariance (DSI). More recently, Realized Capitalization and Realized Capitalization per Bitcoin were shown to follow their own power laws, suggesting that Bitcoin’s accumulated trust capital grows according to a similar scaling process. The question addressed here is whether the oscillatory component is unique to market valuation or whether it is also embedded in the underlying capital formation process itself.

Table 1. Log-Periodic Parameters

Series ω λ R²

Price 8.80 2.04 0.44

RC Total 8.79 2.04 0.431

RC/BTC 8.80 2.04 0.439

Table 1. Compares the Lomb-Scargle ω, λ values for Bitcoin price, total realized cap and realized cap per Bitcoin. In each case the suggest the fundamental model explains nearly half of the residuals.

Key Findings

Wavelet Scalogram RC/BTC Power Law Residuals shows clear λ ~ 9
Figure 1. Wavelet Scalogram of realized cap per BTC residuals shows a strong band near ω ≈ 8.8 (corresponds to λ ≈ 2.04) and that persists but weakens through Bitcoin history.

1. The Same DSI Frequency Appears in RC/BTC

Lomb-Scargle and nonlinear log-periodic fits both converge near:

ω ≈ 8.8

corresponding to:

λ ≈ 2.04

This is essentially identical to the Lomb-Scargle frequency previously observed in Bitcoin price. The cycle geometry appears to be shared across price and realized cap per coin.

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2. Nearly Half of RC/BTC Residual Variance Is Log-Periodic

For RC/BTC, the log periodic fundamental mode R² ≈ 0.44. A single oscillatory component explains roughly 44% of departures from the long-run trend. That is unusually large for a financial time series.

Realized Cap per BTC log periodic fit to residuals
Figure 2. RC/BTC Residuals with Log-Periodic Fit. A simple log-periodic model explains approximately 44% of residual variance around the RC/BTC power law trend.

3. The Signal Appears In Capital Formation, Not Just Price

If log-periodicity existed only in price, it might be dismissed as a speculative market artifact.

However it also appears in:

• Total Realized Capitalization

• Realized Capitalization per Bitcoin

Both are measures of accumulated capital commitment. The oscillation therefore appears to be embedded within Bitcoin’s economic structure.

Wavelet Ridge of Residual Log Periodicity
Figure 3. Wavelet Ridge Evolution of RC/BTC. The dominant DSI frequency evolves smoothly through time, indicating slowly varying rather than perfectly stationary scale invariance.

4. Wavelet Analysis Reveals Slowly Evolving DSI

The dominant frequency is not perfectly stationary. The wavelet ridge implies a slowly evolving local frequency. Interpreted as an instantaneous DSI scale ratio, λ drifts from approximately 2.0–2.1 toward values near 2.2 in later years. The global Lomb-Scargle estimate nevertheless remains remarkably stable near λ ≈ 2.04.

The ridge:

• begins near ω ≈ 8.0

• rises toward ω ≈ 8.8

• gradually declines back toward ω ≈ 8.0

The corresponding scale ratio broadens from roughly:

λ ≈ 2.04 to λ ≈ 2.23 as Bitcoin ages.

Bitcoin’s cycle spacing appears to lengthen slowly through time during the past decade.

5. Price And RC/BTC Share A Common Oscillatory Structure

Cross-wavelet analysis reveals strong coherence throughout the DSI band:

8 < ω < 9.5

Wavelet phase-locking yields a mean phase ≈ 26° (0.45 radians). The PLV ≈ 0.997 indicating extremely stable synchronization with a modest price lead.

Cross Wavelet Coherence and Phase
Figure 4. Cross-Wavelet Coherence and Wavelet Phase Relationship. Bitcoin price and RC/BTC residuals share strong coherence throughout the DSI frequency band range. Phase arrows reflect high frequency turbulence early on but the two residual series are strongly phase-locked from 2015 on, with price leading realized capital by a small but systematic phase offset that is centered on 0.45 radians. There is some harmonic structure as well at ω ~ 5.5 and ω ~ 12. The latter looks similar to the 4/3 harmonic of the 8.8 fundamental seen in price residuals and the early structure near ~ 15 is reminiscent of the 5/3 harmonic. It awaits further investigation, as does the subharmonic behavior near 5.5.

The dominant structures observed in price and realized capital are statistically distinguishable from noise yet remain strongly synchronized. This suggests that both variables are responding to a common underlying scaling process rather than exhibiting independent oscillations that happen to share a similar frequency.

6. The Coherence Survives Surrogate Testing

Phase-randomized surrogate tests preserve spectral structure while destroying timing relationships. Observed DSI-band coherence exceeds surrogate results of 100 randomized histories with:

p ≈ 0.01

for mean coherence. The synchronization therefore appears unlikely to arise from chance alignment of similar spectra.

7. Price Leads Short-Term, RC/BTC Matters Long-Term

Cross-correlation finds maximum alignment when price leads RC/BTC by a few days to a few weeks.

Granger causality Price to RC/BTC and reverse
Figure 5. Lead/lag testing. Granger causality is very strong for Price leading RC/BTC (orange curve) especially in the first 10 days but extending out to 60 days. The plotted quantity is logarithmically larger, more significant, as the p-value is smaller. Interestingly RC/BTC also is Granger causal extending out to many weeks and even several months (not shown on this graph). This is evidence of a positive feedback loop.

However, RC/BTC also exhibits statistically significant predictive content for future price residuals over horizons extending from weeks to many months.

8. The Evidence Supports A Feedback Loop

The results are inconsistent with a simple one-way causal story. Instead they support:

Price Shock

Realized Cap Adjustment

Trust Capital Accumulation

Future Price

Price appears to dominate short-term discovery, while realized capital accumulates more slowly and retains predictive information over longer horizons. The interaction is therefore consistent with a delayed positive feedback process rather than a purely unidirectional causal mechanism.

9. Implications For The Trust Capital Framework

In the Trust Capital framework, realized capitalization represents the cumulative economic commitment that network participants have made to Bitcoin through time. The discovery that RC/BTC exhibits the same λ≈2 log-periodic structure as price suggests that discrete scale invariance is not merely a property of speculative valuation. Instead it appears to be embedded within the process by which trust capital itself accumulates.

Under this interpretation, Bitcoin’s familiar boom-bust cycles may reflect episodic phases of trust formation and consolidation occurring at preferred scaling intervals. Market price responds immediately, while realized capitalization adjusts more slowly as coins change hands and capital is permanently committed to the network. The observed phase-locking between the two series is therefore consistent with trust capital acting as a slow state variable that both responds to and influences market valuation.

Summary

That Realized Cap per BTC follows a power law of index 5.8 was already established.

The discovery of the same λ≈2 log-periodic structure in Bitcoin Price, and now Total Realized Capitalization, and Realized Capitalization per Bitcoin, substantially strengthens the evidence for discrete scale invariance in Bitcoin. The phenomenon is no longer confined to market valuation alone. It appears within the accumulated capital base of the network itself.

If this interpretation is correct, Bitcoin’s recurring cycles are not simply speculative episodes superimposed upon a long-term trend. They are manifestations of a deeper scaling process governing the accumulation of trust capital throughout the Bitcoin economy. Price and realized capital then become two observable expressions of the same underlying dynamical system, linked through a delayed feedback loop that operates across timescales ranging from days to years.

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Stephen Perrenod is engaged in econophysics research of the Bitcoin network as Founder and Associate Director of the Scientific Bitcoin Institute.

Read the original on stephenperrenod.substack.com

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