Liquidity Drought

https://insights.glassnode.com/the-week-onchain-week-37-2023/

Executive Summary

  • Liquidity, volatility, and volumes continue to compress across the digital asset market, with many metrics falling back to 2020 pre-bull levels.
  • Stablecoins are experiencing a persistent decline in supply as redemptions are made across all major stablecoin assets with the exception of Tether (USDT).
  • The Long-Term Holder cohort are steadfast in their holdings, spending remarkably little of it.
  • Short-Term holders on the other hand are teetering on the edge of profitability, with a large majority of their supply acquired above the current price range.

The digital asset market has returned to a remarkably narrow trading range, experiencing a regime of compressed volatility, and exceptionally light volumes. All in all, it can be argued that extreme apathy and boredom best describe the prevailing sentiment. In recent weeks, we have explored how this is being expressed in both derivatives markets (WoC 32) and on-chain data (WoC 33). In last week’s video report, we detailed some of the driving factors, primarily related to a regime of net capital outflows.

In this edition, we will further explore this drying up of liquidity, and how we can use on-chain data to better characterize this market structure.

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View all charts covered in this report in The Week On-chain Dashboard.

Stable Supply Declines

We will begin our study with a macro view of capital flows into the industry. Here, we consider the aggregate invested capital held within the three major assets, Bitcoin, Ethereum, and stablecoins.

  • 🟢 Stablecoins have experienced a persistent decline in supply since April 2022, as redemption commenced following the collapse of LUNA-UST.
  • Both 🟠 BTC and 🔵 ETH experienced a net inflow of capital since the start of the year, seeing their Realized Cap’s climb by up to $6.8B/mth (BTC) and $4.8B/mth, respectively.
  • Since late August however, all three assets have seen a return to neutral or negtative inflows, suggesting a degree of stagnation and uncertainty has taken over.
Liquidity Drought
Live Advanced Workbench

If we isolate stablecoins, we can see that a total of $43B in capital has been redeemed, representing a total decline of 26% since the high set in March 2022. This can be argued to be a result of both capital leaving due to bear market conditions, but also a reflection of the opportunity cost of higher interest rates, which are not passed onto non-yielding stablecoins.

Liquidity Drought
Live Advanced Workbench

Breaking down the three largest stablecoins, we can that these dynamics are not evenly distributed:

  • 🟢 USDT supplies have actually expanded by +$13.3B since the current cycle lows set in Nov 2022.
  • 🔵 USDC has seen an almost equal and opposite decline of -$16.7B, likely in part a reflection of US based institutions moving capital towards higher interest rate markets.
  • 🟡 BUSD has seen a dramatic decline of $20.4B (-89%), largely due to issuer Paxos moving into a redemption only mode following SEC enforcement.
Liquidity Drought
Live Advanced Workbench

If we look at it through the lends of relative dominance, we can see just how significant the expansion of Tether’s market share is. USDT now represents 69% of the stablecoin market, a stark reversal from the 44% low in dominance hit in June 2022.

BUSD dominance has fallen to 2.1%, and USDC to just 21.7%, a significant fall from the peak of 38% reached a little over a year ago.

Liquidity Drought
Live Advanced Workbench

On a shorter term horizon, we can look at the relative buy-side vs sell-side for the three major assets flowing into exchanges. Here we make a set of simple assumptions:

  1. We assume the USD value of BTC and ETH flowing into exchanges is a proxy for ‘sell-side’ pressure.
  2. We assume the USD value of stablecoins flowing into exchanges is a proxy for ‘buy-side’ pressure.

The chart below calculates the net USD difference between Stablecoin inflows (+ve) and BTC + ETH inflows. What we are looking for is less the absolute magnitude (as there will be error bars around these assumptions), but more-so any significant regime shifts.

  • 🟢 Positive values suggest a net buy-side regime, where buy-side of stablecoins exceed BTC+ETH sell-side.
  • 🔴 Negative values suggest a net sell-side regime, where buy-side of stablecoins are less than BTC+ETH sell-side.

The 2021 bull cycle was clearly dominated by net sell-side pressure as investors took profits during the mania of the uptrends. The collapse of LUNA-UST and 3AC in mid 2022 signified a shift back towards net accumulation, as investors worked to establish a market floor.

Since April this year however, the market has returned to a relatively neutral level, aligned with the slow-down in BTC and ETH capital inflows, and the market becoming increasingly apathetic and uncertain.

Liquidity Drought
Live Advanced Workbench

It is Quiet On-chain…

Despite the volatility spike experienced during the recent sell-off to $26k, and then again during following Grayscale’s successful challenge of the SEC in the courts, Realized Volatility has remained remarkably low. The market is still in a historically low volatility environment, which is usually a precursor to heightened volatility down the road.

Liquidity Drought
Live Advanced Chart

This low liquidity and low volatility environment is also reflected across Bitcoin network settlement volumes. The total USD volume of coins changing hands (using our entity-adjustment clustering) is languishing around cycle lows of $2.44B/day, and has returned to October 2020 levels.

Liquidity Drought
Live Professional Chart

If we look at the realized value settled on-chain (being the delta between coin acquisition and disposal prices) we see that this remains extremely quiet. There is minimal profit or loss being locked in by the market overall, suggesting a majority of the coins which are transacting are within close proximity to their original acquisition price.

Realized Profit and Loss are similarly at levels equivalent to the 2020 market, highlighting what is arguably a complete and total wash-out of the exuberance from the 2021 bull market.

Liquidity Drought
Live Advanced Workbench

We can also track this on-chain illiquidity and apathetic sentiment by observing the proportion of wealth held in the most active and liquid subsection of the market, the ‘Hot Supply’ cohort (coins moved within the last week).

The realized value held in this ‘Hot Supply’ cohort old resides at historical lows, suggesting that very few coins which are older than 1-week are transacting at present.

Liquidity Drought
Live Advanced Chart

It Is Quiet Off-chain Too…

Moving across to off-chain derivatives markets, we can see that futures trading volumes have succumbed to a similar fate, hitting historical lows of $12B/day. The only period with lighter trade volume was the lull at the end of 2022, where the Bitcoin price traded within a $557 range for over two weeks (WoC 2).

Liquidity Drought
Live Advanced Chart

We have noticed an interesting divergence in Options markets however, where trade volumes have increased meaningfully in 2023, currently at $437M/day. This could be a reflection of the market preferring to use the leverage and capital efficiency of options to express their view during a period of tighter overall liquidity conditions.

It is important to note that whilst options markets now have a comparable magnitude of open interest relative to futures markets, options trade volumes remain an order of magnitude smaller.

Liquidity Drought
Live Advanced Chart

Again, despite a few days of sharp volatility over the last month, options markets continue to price in relatively low implied volatility. The initial uptick in volatility premium was short-lived, with 1-month implied volatility trading back at historical lows of 33.9% once again.

Liquidity Drought
Live Professional Chart

The Market HODLs On

With both the on- and off-chain domains being exceptionally quiet, it is of no surprise that the supply held by the Long-Term Holder cohort has reached a new ATH of 14.74M BTC. Conversely, the supply held within the Short-Term cohort, representing the more active portion of the market, has fallen to the lowest supply held since 2011.

HODLing certainly remains the primary market dynamic, which both signals a steady conviction amongst existing holders, but highlights that these investors are likely the only ones who remain.

Liquidity Drought
Live Advanced Workbench

We can find confluence within the Liveliness metric, which elegantly compares the balance of all time Coinday Destruction to Coinday Creation. In other words, Liveliness represents the relative balance of ‘investor holding time’ across the market.

Aligned with the net sell-side regime we covered above, 2021 saw a significant uptick in Liveliness, as older coins were spent and took profits. As the 2022 bear market set in between May and Dec 2021, a strong downtrend was established. This marked an inflection point from a traders market, towards a HODLer market.

Liveliness has now reset to late 2020 conditions, and is seeing a progressively steeper downtrend. This indicates that aggregate ‘investor holding time’ is increasing, and investors are increasingly unwilling to spend and part with their held coins.

Liquidity Drought
Live Advanced Chart
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Liveliness is a powerful metric which forms the bedrock of our recent Cointime Economics (download the PDF report here) framework, developed alongside Ark-Invest.

A key insight from this work was the development of the True Market Mean price, which we argue is the most accurate ‘cost basis’ model for active Bitcoin investors. This model is currently located at $29.6k, and has formed a psychological resistance level since April of this year. The traditional Realized Price is trading at $20.3k, with both models bounding much of the years price action.

Liquidity Drought
Live Advanced Workbench

Market Sensitivity

If we apply these two pricing models as psychological boundaries to the URPD chart, we can better characterize the supply acquired between these two models. At present, over 4.81M BTC have a cost basis between $20.3k and $29.6k.

We can also see that with prices trading just under $26k at the time of writing, Short-Term Holders 🔴 are almost entirely underwater on their position. It could be argued that this puts this more price sensitive cohort a little bit on edge.

Liquidity Drought
Live in Engine Room

The chart below shows the percent of Short-Term Holder supply in Profit. We can see that the vast majority of their supply has been plunged into an unrealized loss, with only 16.3% of their supply still held ‘in profit’.

Liquidity Drought
Live Professional Workbench

For the Long-Term Holder cohort, their profitability is gradually increasing, although is still historically low, and has only left the minus one standard deviation band a few months ago. Whilst this is a constructive trend, over 26.7% of LTH supply is underwater relative to their acquisition price, and well below the all-time-mean.

Whilst 2023 has been a fairly reasonable recovery for Bitcoin and digital assets, these findings would suggest there are still several psychological cost basis barriers that must still be overcome.

Liquidity Drought
Live Professional Workbench

Summary and Conclusions

Volatility, liquidity, trade volumes and on-chain settlement volumes are at historical lows. This reinforces the probability that the market has entered a period of extreme apathy, exhaustion, and arguably boredom.

The Long-Term HODLer cohort remain steadfast, relinquishing very little of their held supply. The Short-Term Holder cohort on the other hand are teetering on the edge of profitability, with many coins holding a cost basis above the current $26k trading range. This suggests that this cohort are increasingly price sensitive, and that many psychological price levels are yet to be overcome.


Disclaimer: This report does not provide any investment advice. All data is provided for information and educational purposes only. No investment decision shall be based on the information provided here and you are solely responsible for your own investment decisions.


Liquidity Drought

Exhaustion and Apathy

https://insights.glassnode.com/the-week-onchain-week-33-2023/

Executive Summary

  • The digital asset market continues trading within a historically low volatility regime, with several metrics indicating extreme apathy and exhaustion has been reached in the $29k to $30k range.
  • There are some indicators that the market is slightly ‘top-heavy’ as indicated by the concentration of Short-Term Holder supply and cost basis around the current spot price.
  • We explore several new iterations of SOPR by age band as a tool to monitor profit taking behavior by various cross sections of the market.
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The Week On-chain Dashboard contains all charts covered in this edition.

Modest Capital Inflows

The Realized Cap is one of the most important metrics in the on-chain analysis toolbox, representing the cumulative capital inflow since inception. Both the magnitude and gradient of the Realized Cap are informative, suggesting over $16B in value (+4.1%) has flowed into Bitcoin YTD.

However, we can also see the climb is quite shallow, a far cry from the steep rise seen during the 2021-22 uptrend. This indicates that whilst capital is flowing in, it is doing so at a very modest pace.

Exhaustion and Apathy
Live Advanced Chart

We can decompose the Realized Cap into the Long-Term and Short-Term Holder components. The wealth held by the STH cohort has experienced an increase of +$22B this year, whilst the LTH cohort has seen an approximately equal reduction of -$21B.

This reflects two mechanics:

  • Short-Term Holders chasing the market higher, creating an elevated average cost basis.
  • Supply acquired at prices below $24k in Q1 maturing into LTH status, resulting in a declining average cost basis.
Exhaustion and Apathy
Live Advanced Workbench

We can see this within the cost basis estimates for each cohort. The STH cost basis is up +59% YTD, currently trading at $28.6k. The LTH cost basis is trading much lower at around $20.3k.

The separation between these two cost basis is an indicator that many recent buyers have a relatively elevated acquisition price.

Exhaustion and Apathy
Live Advanced Workbench

We can confirm this using the URPD distribution split into these two cohorts. Note how a large cluster of STH coins 🔴 are located between $25k and $31k. On a macro scale, this supply distribution does resembles similar periods during bear market recoveries in the past. However, on a shorter timeframe, it could be argued to be a slightly top heavy market, with many price sensitive investors at risk of falling into an unrealized loss.

Exhaustion and Apathy
Live in the Glassnode Engine Room

We note that the the supply held by Long-Term Holders continues to increase, hitting an ATH of 14.6M BTC. In direct contrast, Short-Term Holder supply has declined to multi-year low of 2.56M BTC.

Overall, this suggests that conviction of Bitcoin investors does remain impressively high, and very few are willing to liquidate their holdings.

Exhaustion and Apathy
Live Advanced Workbench

Apathy, Exhaustion and a Lack of Volatility

As we covered in last weeks edition (WoC 32), price volatility for BTC has collapsed to historical lows. The upper and lower Bollinger Bands are currently separated by just 2.9%, with a tighter spread only seen on two occassions in history:

  • Sept 2016 – Price was $604 and was early in the 2016-17 run-up.
  • Jan 2023 – Price was $16.8k and traded within a $52 range to start the year (WoC 2).
Exhaustion and Apathy
Live Advanced Workbench

Another lens to observe this volatility compression (investor exhaustion) is via the spending behavior of investors. Here we use Realized Value as a measure under the following framework:

  • High volatility motivates investors to spend coins that were acquired at a cost basis much higher (in loss) or lower (in profit) than the spot exchange rate.
  • Low volatility (and investor exhaustion) results in most coins moved on-chain having a cost basis very close to the spot rate (and thus realized very small profit/loss).

An ideal tool to monitor this is the Sell-Side Risk Ratio, which compares the absolute value of realized profit  loss (the change in asset valuation) to the realized cap (asset valuation). For STHs, we can see this metric is effectively at all-time lows, with fewer than 27 trading days (0.57%) recording a lower value.

This indicates that all investors who sought to take profit or loss at this price range have now done so, and the market must make a move to motivate new spending (i.e. an indicator for impending volatility).

Exhaustion and Apathy
Live Professional Workbench

The Short-Term Holder Profit / Loss ratio shows that profit taking remains dominant for this cohort, however it has cooled off back towards neutral in recent weeks. If sufficient new demand flows in, this ratio should remain above 1. However if losses start to accellerate (P/L Ratio falls below 1), it may indicate that stress within the ‘top heavy market’ is starting to play out.

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Related Dashboard: The on-chain behaviour of Short-Term Holders can be further explored in this dashboard, providing a view into the sentiment and positioning of this cohort.
Exhaustion and Apathy
Live Professional Workbench

If we turn to the LTH cohort, we can also see they’re also within a profit driven regime, having only just recovered from the severe losses throughout the 2022 bear market. The LTH Profit/Loss Ratio remains small in magnitude, and a far cry from prior bull market conditions.

Only 472 / 4963 (9.5%) of all profitable trading days have recorded a lower value, highlighting the infancy of this uptrend.

Exhaustion and Apathy
Live Professional Workbench

The Long-Term Sell-Side Risk Ratio is also pushing towards all-time-lows, with only 44 trading days (1.1%) recording a lower value. Overall, this suggests that volatility and price expansion (in either direction) is likely required to break this spell of investor apathy and exhaustion.

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Related Dashboard: The on-chain behaviour of Long-Term Holders can be further explored in this dashboard, providing a view into the sentiment and positioning of this cohort.
Exhaustion and Apathy
Live Professional Workbench

The Temperature of Supply

Analysis of the Bitcoin supply and demand balance often utilises the dimension of ‘investor holding time’, accounting for the time since a coin last moved on-chain. Often we can relate these age bands to investor conviction as is the case with the Long/Short-Term heuristic at 155-days (research here).

We can also consider the supply under a slightly different framework to identify market shifts:

  • 🔴 Hot Supply (< 1w) is the most active and liquid portion which has transacted within the last 7-days.
  • 🟠 Warm Supply (1w-6m) comprises the less active component of Short-Term Holder supply, right through to the start of the Long-Term Holder cohort.
  • 🔵 Single-Cycle Long-Term Holders (6m-3y) being the supply which transacted within the last three years, and is therefore reasonably likely to respond to macro market trends (see our report detailing this cohort here).

Hot Supply (< 1-week)

Starting with the most active and liquid of coins, we can see that Hot Supply currently accounts for just 2.8% of all invested value held in BTC. This is in line with the extremely ‘illiquid’ hangover periods seen after all late stage bear markets. It describes a market where only the HODLer cohort remain, and trade volumes tend to be extremely low.

Exhaustion and Apathy
Live Advanced Chart

We recently rolled out Workbench support for the Realized Cap HODL Waves (and similar multi-line style charts). We can use this tool to calculate the cost basis for hot supply and compare it to that of the parent Short-Term Holder cohort. From this we can identify two interesting pieces of market structure:

  • The STH cost basis tends to provide support in uptrends as investors acquire near their break-even point during corrections.
  • Large deviations between the Hot Supply cost basis and the STH cost basis often align with local market peaks.

This latter point is a result of speculators chasing the price into local peaks, driving up the Hot Supply cost basis, but increasing the volume of supply at risk of a drawdown. This can create a near-term pause in the rally until sufficient demand returns during the correction.

Exhaustion and Apathy
Live Advanced Workbench

If we look to the SOPR family for Hot Supply, we can see this playing out in their profit taking behavior:

  • 🔴 < 24h coins tend to be spent close to their break-even price.
  • 🔵 1d-1w coins take profits (SOPR > 1) during rallies and local market highs.
  • 🟢 1w-1m coins see a similar profitable peak, although at a larger amplitude due to the longer holding time (and thus larger price delta since acquisition).

This early work on SOPR variants by age bands provides an interesting insight into the supply and demand structure playing out day-to-day.

Exhaustion and Apathy

Warm Supply

Moving onto the Warm Supply group (1w-6m), we can see a slight uptick YTD, accounting for around 30% of the wealth stored in Bitcoin.

Whilst this value is meaningful in magnitude, it is extremely low in a comparitive context. By proxy, the extremely small proportion of wealth held within both Hot and Warm supply indicates that the most significant holdings are within the more mature Long-Term Holder supply.

Exhaustion and Apathy
Live Advanced Chart

Given Warm Supply accounts for the majority of the age range (and coin volume) within the Short-Term Holder cohort, the average cost basis is very similar to STHs. If we look at it through the lens of the Warm Supply MVRV ratio, we can see it is approaching a retest of its break-even level at $27.6K.

This further supports the Sell-side Risk Ratio observations from the prior section, where volatility is likely brewing.

Exhaustion and Apathy
Live Advanced Workbench

Extended breaks above, or below the Warm Supply cost basis have historically aligned with a macro shift in the market trend, with the average uptrend lasting 227 days, and an average downtrend lasting 132 days.

The 2023 rally has now traded above this model for 212-days so far, hovering slightly above it today.

Exhaustion and Apathy
Live Advanced Workbench

The 2023 market strength was successfully capitalized upon, with profit taking visible across all SOPR constituents within the Warm Supply cohort. The average spent coin is locking in between 4% and 9% profit over the last few months.

Exhaustion and Apathy

Single Cycle Long-Term Holders

The final cohort are the Single Cycle Long-Term Holders. This cohort covers investors that weathered the full spectrum of excitement, chaos, and volatility of the 2020-23 cycle.

HODLing remains the preferred market dynamic for this group, accounting for over 63% of the invested capital. This has reached similar heights as past transitional phases between late stage bear markets, and new macro uptrends.

Exhaustion and Apathy
Live Advanced Chart

The cost basis of these single cycle holders is currently at $33.8k, suggesting that this group is still holding an average unrealized loss of -13.3%. This compares to the average LTH with a cost basis of $20.4k and an unrealized profit of +43.6%.

Since the classic LTH cohort includes long-dormant, lost, and deep HODLed supply, much of which carries tremendous unrealized profit, it is likely that it underestimates the true acquisition price of the average high conviction investor. As such, it suggests that much of the Bitcoin market still remains underwater on their holdings, and that the damage of the 2022 bear market still plays a meaningful role in guiding investor decisions.

Exhaustion and Apathy
Live Advanced Workbench

Finally, we see a very interesting divergence between SOPR variants within this cohort:

  • 🟡 6m-12m SOPR describes investors acquiring coins between Aug 2022 (post LUNA and 3AC collapsing) and Feb of 2023. This group is currently locking in an average profit of +27% (cycle low buyers).
  • 🟤 1-2y SOPR describes investors from Aug 2021 to Aug 2022, whom are still locking in losses over -21% on average (largely cycle top buyers).
  • 🟣 2y-3y SOPR is oscillating around break-even, and captures investors from Aug 2020 to Aug 2021 with prices ranging from $10k through to $64k (the bull market buyers).

This demonstrates that a great majority of LTHs are actually transacting at a loss, and only those from the 6m-1y age group are in a meaningful degree of profit.

Exhaustion and Apathy

Summary and Conclusions

Volatility in the digital asset space remains historically low, with investors reaching an all-time-low in willingness to spend coins on-chain. The conditions of the Bitcoin market continue to resemble the bear market hangover seen in prior cycles, with an outsized wealth held by long-term high conviction holders.

However, with this low volatility comes apathy and exhaustion, which often entails a relatively weak influx of demand. The Realized Cap is climbing, but only very slightly, suggesting a very boring, choppy, sideways market may remain on the road ahead. This is likely compounded by the fact a large majority of the Bitcoin market is still underwater on their holdings, and likely to create resistance throughout the recovery.


Disclaimer: This report does not provide any investment advice. All data is provided for information and educational purposes only. No investment decision shall be based on the information provided here and you are solely responsible for your own investment decisions.


Exhaustion and Apathy

Choppy and Sideways

https://insights.glassnode.com/the-week-onchain-week-29-2023/

Executive Summary

  • Despite BTC setting a temporary yearly price high of $31.7k, the market remains extremely quiet, with the Bollinger Bands now separated by a price range of just 4.2%.
  • The realized cap is hovering just below $400B, experiencing a steady but slow inflow of capital into digital assets, led primarily by the major two assets BTC and ETH.
  • The market is firmly within a regime of profit dominance, however the magnitude of USD value locked in remains near cycle lows, and investors remain unwilling to part with their held supply.
  • Several metrics now resemble the choppy market conditions seen in the 2016 and 2019-20 periods.

Slow and Steady Inflows

The digital asset market continues to see remarkably little volatility, with the classic 20-day Bollinger Bands experiencing an extreme squeeze. Despite setting a temporary yearly high of $31.7k this week, the rally failed to sustain momentum, bringing BTC prices back into the sideways trading range above $30.0k.

A price range of just 4.2% separates the upper and lower Bollinger bands, making this is the quietest BTC market since the lull in early January.

📈
Related Dashboard: Several classic technical analysis models are available in the Technical Analysis Toolbox dashboard.
Choppy and Sideways
Live Advanced Workbench

Beneath the surface, capital is still flowing into digital assets at a steady and modest rate. The Realized Cap is one of the oldest and most widely observed on-chain metrics, and provides a powerful tool for assessing the true capital flows into Bitcoin. It is best thought of as the ‘on-chain Market Cap’, and reflects the cumulative sum of all realized profit and loss events through history.

The Realized Cap currently sits just shy of $400B and has indicates that a steady stream of capital is entering the asset throughout 2023. As the realized cap climbs, it signals that coins are changing hands at higher prices on net, suggesting a modest uptick in new demand inflow this year.

Choppy and Sideways
Live Advanced Chart

During bear markets, Bitcoin usually experiences significant capital outflows, as investors lock in losses. The realized cap drawdown in 2022 reached the second deepest value of -18.8%, demonstrating the magnitude of the bear market. Recovery of the realized cap ATH in prior cycles have taken between 95 and 239-days, with the recovery so far occurring at a similar rate.

Choppy and Sideways
Live Advanced Workbench

Shifts in demand liquidity can also be assessed via the Net Realized Profit / Loss (NRPL) metric, which is the first derivative of the Realized Cap.

NRPL has traded within a profit dominated regime through much of 2023, seeing around $270M/day in net inflows (profits minus losses). This reflects the first sustained profit regime since April 2022. This is similar in scale to both the first half of 2019, and also late 2020, which is a comparison which this report will show from several angles.

Of note is how significantly smaller this regime is compared the 2021 bull market which reached extraordinary peaks of over $3.68B/day.

Choppy and Sideways
Live Advanced Chart

If we take a ratio between total realized profit and loss, we can see that 2023 has been an explosive and positive year thus far, breaking firmly above the breakeven level of 1.0 in early January.

However, we can also note that a lower high in this ratio was set this week. If sustained, it may allude to similar choppy market conditions seen in both 2019-20, and again in the second half of 2021. Lower peaks in this metric generally suggest a marginal softening of capital inflows, which in the past has preceded a longer period of time to digest the recovery.

Choppy and Sideways
Live Advanced Chart

We can also gauge shifts across the wider digital asset market by comparing the Bitcoin and Etheruem Realized Caps, with the supply of the top stablecoins. By this measure we can see that most capital flows have come in via the two majors BTC and ETH, both seeing inflows of +$21.9B and $18.0B YTD, respectively.

Stablecoins however have seen a net reduction of -$10.4B in aggregate supply, led largely by USDC and BUSD redemptions. This trend is now firmly in place, suggesting a notable market preference for the big two digital assets over stablecoin capital.

Choppy and Sideways
Live Professional Workbench

The Incentive to Spend

SOPR is another powerful tool, useful for for tracking the magnitude of profit and loss taking events across the market. Here, we define a framework consisting of two binary regimes to characterise market behaviour:

  • Loss Dominant Regime: Successive prints below 1.0 are indicative of investors locking in losses, and returns to the breakeven level are often utilized as exit point (forming resistance).
  • Profit Dominant Regime: Successive SOPR prints above 1.0 indicates a return of profit taking, and returns to the breakeven level are often considered a near term point of value (forming support).

SOPR currently resides within a profit dominant regime, recording a value of 1.06, indicating the average coin changing hands is locking in a 6% profit. This again has similar characteristics to the 2016 and 2019 periods.

Choppy and Sideways
Live Professional Chart

With this in mind, the breakdown of exchange inflow volumes suggest that Short-Term Holders (STH) are the primary entities that are active in the market. Out of the total 39.6k BTC in daily exchange inflows, 78% of this is associated with the STH cohort, being those investors that have been active since early February.

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Related Dashboard: Several metrics related to breaking down Exchange inflows by cohort are available in the Exchanges and Cohorts dashboard.
Choppy and Sideways
Live Professional Workbench

This makes sense when we contextualize the proportion of STH supply that is held in profit, which is now just over 88% of their total balance. This is above the mean plus one standard deviation level, and is historically associated with macro uptrends where the incentive to take profits is high.

As prices rise, the STH cohort are becoming increasingly likely to spend and take profits.

Choppy and Sideways
Live Professional Workbench

If we compare this to the Long-Term Holder cohort (LTHs), we can see their position is comparatively less extreme, with just over 73% of their balance held in profit. This indicates that around a quarter of all LTH supply was acquired at prices above than $30k and within the 2021-22 cycle (as covered in last weeks edition WoC 28).

Choppy and Sideways
Live Professional Workbench

If we breakdown the realized value locked in by the market, we can see the strength of the 2023 recovery thus far. Both LTHs and STHs are now seeing the super-majority (73%) of their spending locking in a profit.

This is a significant improvement over the extreme pain experienced after FTX failed, where 90% of all spent coins were locking in losses (the deepest capitulation in history by this measure).

Choppy and Sideways
Live Professional Chart

However, if we view this from the lens of total USD denominated realized value (profit plus loss), it remains near cycle lows of just $290M/day. Whilst this is a significant sum on a nominal basis, it is again comparable to the 2019 peak, and to October 2020 where BTC prices were 50% lower than they currently are.

As such, it suggests that even though the Bitcoin market cap is ~2x larger today, investors who are holding large profits or losses are extremely unwilling to spend their coins on-chain.

Choppy and Sideways
Live Professional Workbench

Overall, this suggests that the vast majority of Bitcoin holders are sitting tight, and are opting not to revalue their holdings. This speaks to our prior report (WoC 26) where the proportion of liquid, mobile and active BTC available on the market remains remarkably small.

Seeing the Light

To close this edition, we will call back to our report from just over a year ago titled The Darkest Phase of the Bear (WoC 24-2022, June 2022). In this report, we introduced a metric which helps identify large scale shifts in LTH and STH behavior.

It is uncommon for the LTH cohort to spend coins that have a higher average cost basis (lower profit multiple) than the STH cohort. However, such events do occur, and are historically associated with deep bear market capitulation events. These are periods where even the strongest hands are purged from the market, in particular those that acquired coins near the cycle top and then weathered the full duration of the downtrend.

With the strong price performance YTD, and the dominance of STH spending this week, this SOPR ratio has commenced its second leg down. This provides a macro scale view on a reversal in investor behavior. There has only been one instance in March 2020 where an ‘echo bounce’ occurred in this metric, pushing back above 1.0 before spending a multi-year period below it.

Choppy and Sideways
Live Professional Workbench

Summary and Conclusions

Despite setting a temporarily new yearly high of $31.7k this week, BTC prices continue to trade within a very tight trading range. This has resulted in an extreme tightening of the Bollinger Bands, separated by just 4.2%. This compression in volatility is matched by cyclical lows in realized profit and loss being locked in by the market.

The Short-Term Holder cohort dominates the inflows into exchanges at present, incentivised by over 88% of supply now being in profit. However on the broader scale, investors appear remarkably unwilling to let go of their supply. In many ways, this resembles periods like 2016 and 2019-20, characterised by choppy market conditions.


A Volatile Road to Nowhere

https://insights.glassnode.com/the-week-onchain-week-25-2023/

Executive Summary

  • Volatility, volume, and realized value are at multi-year lows, suggesting liquidity is increasingly thin, and investor apathy is now firmly in play.
  • The undercurrent of BTC supply continues to flow out of exchanges, miners and and whale wallets, and towards HODLer entities of all sizes at a healthy rate.
  • Comparisons to past cycles suggests that the market is likely within a transitional period, characterized by investor apathy, and boredom. However, the halving event creeps ever closer, now just 305-days away.

🪟 View all charts covered in this report in The Week On-chain Dashboard.


The Road to Nowhere

This week, the Bitcoin market experienced price swings in both directions, however made little progress overall. The market traded down to $24.8k early in the week, rallied to $26.7k on news of the ETF application by Blackrock, before returning almost back to the opening at $26.3k. Whilst prices were volatile intra-week, on the broader scale, the market remains on a road to nowhere.

If we compare the the 30-day price range, we can see that quiet periods like this are few and far in between. The majority tend to occur during the apathetic hangover period that follows a bear market, aligning with our observations of market apathy last week (WoC 25)

💡
Related Dashboard: This chart is available within the Technical Analysis Toolbox dashboard, alongside the RSI, MACD, Stochastic, and Bollinger Band indicators.
A Volatile Road to Nowhere
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Naturally, this is also reflected across 1-month Realized Volatility, which has reset to 39.6%, one of the lowest recordings since the 2021 bull market. We can see such events are typically experienced during the long, sideways grind as the market finds its feet after a prolonged bearish trend.

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Implied volatility across option contracts from 1-week, to 6-months out have also reached a cycle lows. Near-term 1-week implied volatility is at the second lowest value (36%) on record, whilst 3-month and 6-month contracts are at all-time-lows of 42% and 46%, respectively.

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Trading volumes in futures markets have also declined to $20.9B/day as liquidity across digital asset markets continues to drain.

A Volatile Road to Nowhere
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This phenomena is also observed across the Ethereum futures markets, suggesting that this decline in liquidity is an industry wide contraction. The only period in the last 30-months experiencing lower aggregate trade volume was during the 2022 end of year lull.

A Volatile Road to Nowhere
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A similar story is true on-chain, we can see the absolute value of profit and loss taking events has declined to cycle lows of $268M. This returns to October 2020 levels (BTC prices were ~$10k), highlighting just how quiet capital flows have been both in and out of the asset class year to date.

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HODLers Are HODLing

We have established that digital asset liquidity is very thin across both the on-chain and off-chain domains. In the next section, we shall investigate how this translates across to the behavior of existing market participants.

Liveliness provides a big picture view into the propensity of Bitcoin holders to spend or hold their coins. Currently, Liveliness is in a multi-year macro downtrend, having peaked in May 2021 when bear market first set in. We can see a similar structure has formed to the 2018-20 cycle, as coins slowly but surely migrate into cold storage and are removed from the market by the HODLer cohort.

A Volatile Road to Nowhere
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These HODLers are currently accumulating coins at a rate of around 42.2K BTC/month, suggesting that the price insensitive class are absorbing a non-trivial portion of the currently available supply.

If we compare this behavior to prior cycles, we can see that this regime of steady and gradual accumulation commenced just over 2-years ago, and suggests that another 6 to 12-months may be ahead of us.

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This observation is further supported by the divergence between exchange balances, and the volume of coins held in illiquid wallets, being those with little to no history of spending. Illiquid supply reached a new ATH of 15.2M BTC this week, whilst exchange balances have fallen to the lowest levels since Jan 2018 at 2.3M BTC.

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Around 146K BTC/month are currently flowing into these illiquid wallets, supporting the case for a gradual and steady accumulation taking place.

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To get a sense of scale, we can compare the balance change of various wallet size cohorts to the volume of new coins issued to miners.

By this relative measure, we can see that entities with a balance under 100 BTC are increasing their holdings meaningfully, absorbing an equivalent to 254% of mined supply over the last month (2.54 x ~900 BTC/day = 2,286 BTC/day).

💡
Related Report: Absorption Rate metrics were introduced in The Shrimp Supply Sink, and can be viewed by Professional members in the Entity Balance Change dashboard.
A Volatile Road to Nowhere
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Shark entities (100 to 1k BTC) are also seeing positive balance change, absorbing volumes equivalent to 36% of mined supply. Whale entities on the other hand (> 1k BTC) join Miners as net distributors, releasing a volume equivalent to 70% of the mined supply from their holdings.

Overall, the market appears to be in a period of quiet accumulation, which suggests an undercurrent of demand, despite the regulatory headwinds of late.

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An Arduous Road Ahead

In an attempt to find a yardstick for what may lie on the road ahead, we can gauge previous market phases on the basis of duration. The chart below shows number of days spent in the following phases:

  • 🔵 Bull Market measured from cycle low until cycle peak.
  • 🔴 Bear Market measured from cycle peak to cycle low.
  • Transition measured from cycle ATL until setting a new ATH.

If we assume the lows established in Nov 2022 hold, we can argue that the market has been within a transitional period for 221 days. Past transitional periods lasted between 459 days, and 770 days, suggesting that the patience of investors may be tested, on the order of 8 to 18-months, until a new market ATH, if history is any guide.

A Volatile Road to Nowhere
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These transitional periods tend to see prices bounded between the Realized Price 🟠, and the Realized Price + 0.5 standard deviation band 🔵. Since setting each cycle low, the following proportion of trading days have been between these boundaries:

  • 2012-13 Cycle = 79%
  • 2015-17 Cycle = 64%
  • 2019-21 Cycle = 78%

This framework would suggest a price range between $20.1k (-23%) to the downside, and $45.0k (+71%) to the upside over this period.

A Volatile Road to Nowhere
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With the Bitcoin halving just 305-days away, we can also see the relationship between these transitional periods and halving events, which tend to occur around two-thirds of the way through the journey.

A Volatile Road to Nowhere
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From this, we can index the price performance of prior epochs, starting at 305-days from the halving. The range of prior market performance on the date of the halving are as follows:

  • 🟠 Epoch 1 = +126% with a max drawdown of -44.8%
  • 🔴 Epoch 2 = +179% with a max drawdown of -23.3%
  • 🔵 Epoch 3 = -6.4%  with a max drawdown of -53% in March 2020

The first two Epochs both saw very positive price appreciation, whilst the third Epoch was far more challenging for investors to navigate, not least with the exogenous shock of March 2020.

A Volatile Road to Nowhere
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Finally, we conclude our analysis with an assessment of price performance over the year that follows each halving event.

  • 🔴 Epoch 2 Price Performance: +7358% with a max drawdown of -69.4%
  • 🔵 Epoch 3 Price Performance: +393% with a max drawdown of -29.6%
  • 🟢 Epoch 4 Price Performance: +366% with a max drawdown of -45.6%

A diminishing returns effect is clearly noted across Epochs, a natural expectation as the market size, and capital flows grow in size over time.

A Volatile Road to Nowhere
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Summary and Conclusions

Across most measures of market energy, digital asset markets are displaying excitement in few of them. Volatility, volumes, and realized value are all at multi-year lows, as liquidity and excitement give way to investor apathy.

However beneath the surface, the classic pattern of wealth transfer towards the price insensitive HODLer cohort remains uninterrupted. If past cycles are any guide, it it suggests that a period of apathetic sideways boredom may well define the road ahead, potentially lasting between 8 to 18-months in duration.

Buying High and Selling Low: The Long-Term Holder Learning Curve

https://insights.glassnode.com/buying-high-and-selling-low-the-long-term-holder-learning-curve/

🪟 View all charts covered in this report in the Buying High and Selling Low: The Long-Term Holder Learning Curve Dashboard.

Introduction

Like the weather, markets tend to experience cycles, and nowhere is this more true than for Bitcoin. One of the characteristics of Bitcoin market cycles is that they reach extreme-extremes, often defined by irrational exuberance at tops, and deep despair at the lows. Within the wealth of on-chain data available to us, we can study these periods, and identify when investor behaviors aligns with market extremes.

In a previous study, we defined the Long-term Holder (LTH) heuristic, which segments the coin supply into holders that are least likely to spend on any given day. We expanded on this research in Following the Smart Money, where we demonstrated how LTHs generally accumulate BTC at cheap prices in bear markets, and then distribute heavily, particularly in late stage bulls.

In other words, LTHs tend to buy low and sell high, thus earning them the generalized title of ‘the smart money’.

Buying High and Selling Low: The Long-Term Holder Learning Curve
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However, anyone with experience in markets knows that few investors start their journey as the ‘smart money’. Instead it is learned through experience, which more often than not comes as a result of being wrong, losing money, and making the exact wrong trade decision at the exact wrong time.

In this piece, we will explore the behavior of a very particular subset of LTHs; those experiencing their first Bitcoin market cycle. What we will demonstrate is that this cohort of budding HODLers tend to acquire and hold onto expensive coins through the entire bear market…only to capitulate precisely at the cycle low, with remarkable accuracy.

Surviving Your First Bear Market

The first Bitcoin bear market investors experience is usually the hardest. Few investors are prepared for the extreme volatility, nor the 75%+ drawdowns that BTC prices historically reach.

Buying High and Selling Low: The Long-Term Holder Learning Curve
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We can see this by the incredible total volume of coins which transact at a loss during bear markets. The chart below shows the cumulative volume of BTC moved at a price lower than its acquisition price during each bear market cycle to date (with horizontal levels at 21M BTC increments for scale).

By the time FTX collapsed in Nov 2022, over 123M BTC had transacted at a loss since the April 2021 peak (where we believe bear market sentiment had truly set in).

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The Long-Term Holder heuristic uses a 155-day threshold, which is around 5-months. Historical Bitcoin bear markets have spanned between 500 to 800 days from top to bottom (around 2-years).

Thus, we can define a coin age range between 5-months and 2-years which we will consider as representative of these single cycle LTHs.

Buying High

We have several tools at our disposal to identify periods of LTH stress, which we will break into two sub-categories:

  • Unrealized Stress: being the paper losses held by the LTH cohort, which can be though of as the incentive to sell. This can be monitored using LTH-MVRV, LTH-NUPL, and Supply in held Loss for example.
  • Realized Stress: being the actualized losses taken by coins spent by the LTH cohort, reflecting true capitulation events. This can be monitored using LTH-SOPR, Realized Loss, and Spent Volume in Loss.
💡
Related Dashboard: Many LTH Realized Stress metrics are available for Professional members in the Long-Term Holder Realized Profit/Loss dashboard.

All of these tools revolve around the Realized Price, representing the on-chain acquisition price for the cohort considered.

In aggregate, we can compare the deviation between spot price and the LTH average acquisition price via the LTH-MVRV metric. This provides insight into the magnitude unrealized profit or loss they collectively hold. From this we develop a simple tool to check whether LTHs are under unrealized stress:

🔴 When LTH-MVRV trades below 1.0, it indicates that this cohort are holding large scale unrealized losses. These investors are under a significant degree of unrealized stress, and are therefore increasingly likely to capitulate their held supply.

Buying High and Selling Low: The Long-Term Holder Learning Curve
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The chart below shows the total spent volume in loss attributed to LTHs. Periods where the above unrealized stress condition is hit (LTH-MVRV < 1.0) are marked in red. Whilst individual investors can, and do capitulate throughout the entire bear market, it is immediately clear that this flush-out reaches a crescendo right at the bitter end.

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Selling Low

Now that we have a measure for LTH unrealized stress, we can supplement it with an equivalent measure of realized stress. For this, the LTH-SOPR metric is ideal, capturing the the aggregate profit / loss multiple locked by the Long-Term Holder class each day.

The chart below shows a similar profile of LTH Volume In Loss, however we highlight two key conditions:

  • 🔴 When LTH-SOPR trades below 1.0, it indicates that this cohort are locking in realized losses on average, where the majority are spending coins below their acquisition price.
  • 🟣 When LTH-SOPR trades below 0.5, it indicates that the average LTH is locking in 50%+ losses, exiting as their investment is cut in half.

This second condition is most interesting, since it represents a cohort of investors that have both held coins to LTH maturity, but also held from a price altitude that is close to the cycle top (within the context of a 75% drawdown).

Given the duration of a Bitcoin bear (~2ys), and typical 75% drawdown, these LTHs in particular have actually weathered the worst of it by the time they exit.

Buying High and Selling Low: The Long-Term Holder Learning Curve
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Capitulation, All At Once

In the prior section, we identified the periods of peak financial stress for LTHs. Next we will isolate periods where these single cycle LTHs (6m-2y) are the predominant source of transfer volume in loss.

The chart below displays the percentage of LTH Transfer Volume which is sourced from the 6m-2y age-band. In particular, we can compare it to its lifetime average, and +0.5 sigma standard deviation band. From this, we can identify two particular characteristics:

  • 🔴 Periods where single cycle LTHs (6m-2yr) are most active tends to be during later stages of bear markets (exiting in capitulation), as well as during early bull markets (exiting in disbelief). This group are observably buying high, and selling low.
  • 🔵 Periods where multi-cycle LTHs (> 2yrs) are most active tends to be during the most opportune periods of bull markets, observably buying low, and selling high.
Buying High and Selling Low: The Long-Term Holder Learning Curve
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Thus, we have our final conditionality statement; when the percent of LTH spending attributed to single cycle holders exceeds 0.5 standard deviations above the mean, it often signifies capitulation of this group has taken place.

Long-Term Learning Curve

We set out to observe and characterize the painful learning curve of Bitcoin Long-Term Holders who are experiencing their first bear market cycle. What we identified is that the probability of a bear market floor being established, tends to align with their expulsion from the market.

Those who rode significant unrealized losses from the cycle peak, often capitulate at the ultimate lows.

We have identified three measurable behavior patterns, which we can then compile into an actionable signal:

  1. 🟡 LTH-MVRV trades below 1 indicating unrealized stress is beginning to peak (signifying many LTHs bought high).
  2. 🔴 LTH-SOPR trades below 0.5 indicating that LTHs are not only locking in losses, they are of a magnitude exceeding -50% on average (signifying many LTHs sold low).
  3. 🔵 Single cycle LTH volume dominance exceeds 0.5 standard deviations from the mean. This indicates that the majority of LTH volume (which is contributing to LTH-SOPR) is indeed sourced from the least experienced of the cohort (signifying the least experienced).

When all three conditions align 🟢, this tool will indicate that the cohort of single cycle LTHs are experiencing a painful wash-out event, with some progressing along the Bitcoin market cycle learning curve.

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Conclusion

Bitcoin investors are rarely born resilient HODLers. Many enter the market during peak bull market euphoria, only to see their average cost basis get set at painfully expensive prices. We can observe this particular subset weather much of the bear market storm, holding coins which lose more than half their value, only to capitulate in unison at the exact wrong time.

Interestingly, this tale of the new investor is as old as markets themselves. With on-chain data, we are now able to observe it in full color.

Quiet But Confident

https://insights.glassnode.com/the-week-onchain-week-21-2023/

The Bitcoin market has consolidated this week, trading within a relatively narrow 3.4% price range, with a low of $26.6k and high of $27.5k. In fact, this has been one of the tightest trading ranges over the last few years, with the last examples being the 2023 yearly open, and July 2020 after the recovery from the COVID sell-off.

This comes alongside extremely light on-chain volume, with aggregate, entity-adjusted, and exchange related flows remaining at cyclical lows. Meanwhile, large swathes of the coin supply remain dormant in investor wallets, with several key age bands hitting all-time-highs.

In this edition, we will explore this interesting state of play, and what it tells us about investor confidence, incentives, and perspective on the 2023 market.

💡
Workbench Tip: This chart is constructed utilizing the cummax(m1,7) function to establish rolling 7-day upper and lower price range bands.

🪟 View all charts covered in this report in The Week On-chain Dashboard.

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Volume Down

In last weeks edition, we shows how on-chain activity for Bitcoin has reached historical highs for metrics such as Transaction counts, largely related to ordinals, inscriptions, and BRC-20 tokens. These types of transactions tend to represent relatively small BTC volumes however, with ordinals often transferred alongside a small volume of BTC (usually around 10k sats = 0.0001 BTC).

Assessing the Transfer Volume settled by the Bitcoin network across the last three years, we note a large decline in overall economical throughput since early 2021, falling from a cycle high of $13.1B to a cycle low of $1.9B, a 85.5% decline. Transfer volumes have experienced a marginal uplift in 2023, however remain near cycle lows between $1.9B and $4.4B.

Quiet But Confident
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Exchanges remain a centerpiece for BTC trade, and studying the flows in and out provides a robust proxy for trade volume, awareness, speculation demand, and investor confidence. We see a similar structural decline in exchange deposit volume, declining from a peak of $4.2B in May 2021 to a low of $343.4M today (-91.8%).

⚠️
Alert Idea: Exchange Inflow Volume (7D-SMA) rising above $750M/day may suggest a significant uptick in trade activity is underway, suggesting elevated volatility on the horizon.
Quiet But Confident
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Another useful proxy for assessing network utilization is the absolute value of Realized Profit and Loss events. This provides insight into the capital flows in or out of the asset, as coins are revalued higher, or lower. The combined Realized Profit and Loss is trading around the lowest levels seen over the last 3 years.

This suggests that the majority of holders with large profits, or losses, are unwilling to spend.

Quiet But Confident
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Unrealized Potential

We have established that both the nominal and realized network throughput remains cyclically low. This may be due to many market participants having a cost basis which is quite close to the current price, thus indicating there is minimal incentive to spend just yet. Participants may require greater volatility, in in either direction, to entice spending behavior.

The Adjusted Realized Price provides an improved model for estimating this market wide cost-basis. It works by removing the tremendous unrealized profits held by long-dormant (and likely lost) coins (> 7y), isolating the economically active and more price sensitive cohort of holders.

Spot prices are currently trading just above the Adjusted Realized Price ($25.2k), which is likely a psychological area of interest in the event of a pullback. This also firms up the thesis that there is simply not a great deal of profit (or loss) available to be taken by the active participants in the market.

⚠️
Alert Idea: Price breaking below $25.2k would indicate a retest of the cost basis for the economically active supply is underway, being a key psychological price level to watch.
Quiet But Confident
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The recent rally above $30k saw the Adjusted MVRV Ratio rise to a value of 1.21, suggesting a fairly modest 21% unrealized profit level was reached.

Currently, the aMVRV is recording a value of 1.09, suggesting just 9% unrealized profit remains within in the market. This is coincident with what were historically oversold levels in both the 2018, 2019 and March 2020 cycle lows.

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Supply Stays Still

Despite the blistering start to the year across the digital asset landscape, the BTC supply held for longer than 1yr+ continues to push to new highs. The chart below shows four subsets of this dormant supply as a proportion of the total circulating supply:

  • 🔴 Supply Last Active 1+ Yrs Ago: 68.1%
  • 🟡 Supply Last Active 2+ Yrs Ago: 55.2%
  • 🟢 Supply Last Active 3+ Yrs Ago: 40.0%
  • 🔵 Supply Last Active 5+ Yrs Ago: 28.9%

The remarkable level of HODLing across the supply continues, with such high coin inactivity supporting the extreme lows of on-chain volume throughput.

Quiet But Confident
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This phenomena is also reflected across Long-Term Holder Supply (coins held > 155-days), which is at a new ATH of 14.46M BTC. This reflects coins acquired immediately after the FTX failure maturing into LTH status.

Quiet But Confident
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Confluence can be found in the Liveliness metric, which compares the relative balance between HODLing and spending behavior. Currently, network Liveliness is descending to the lowest value recorded since the Dec 2020 breakout above $20K. Persistent downtrends in Liveliness reaffirm that HODLing is certainly the current primary market dynamic across the majority of supply.

Quiet But Confident
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If we look to the Short-Term Holder (STH) cohort, we can assess the amount of ‘holding time’ being spent by this group (measured as coinday destruction over the last 90-days). By this metric, STH coinday destruction is extremely low, and significantly below the two large panic capitulation events occurring in June, and November 2022.

This infers that STHs are generally reluctant to spend within the current price range, and require greater volatility, and likely higher prices (realizing profits) as an incentive.

Overall, these metrics paint a relatively constructive view of Bitcoin holder conviction, where most are simply not interested in spending their coins just yet.

Quiet But Confident
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Holders From Last Cycle Are Forged

Following the November low, the USD denominated wealth held within coins aged 2y-3y has expanded from 3.1% to 27.7%, as large swathes of supply mature across the 2yr boundary. This reflects supply that was acquired after the May 2021 sell-off from $56k to $29k.

The chart below shows the changing proportion of USD wealth held in these age bands:

  • 🟢 Wealth Held by 2y-3y: 3.1% to 27.7% (up +24.6%)
  • 🟡 Wealth Held by 1y-2y: 43.5% to 28.3 (down -15.2%)
  • 🟠 Wealth Held by 6m-1y: 25.5% to 10.6% (down -14.9%)
Quiet But Confident

We can also utilize a new variant of the RHODL Ratio, comparing the wealth held in 2y+, to those in the 6m-2y age band. This helps us evaluate the balance between experienced (2yr+) and single cycle Long-Term Holders (6m-2y).

Currently, this RHODL variant is climbing exponentially, suggesting a significant portion of holders from the 2021-22 cycle are maturing into the experienced HODLers. Given the extraordinary, and mostly downside volatility experienced over this period, it demonstrates that the Bitcoin holder base remains incredibly resolute, which is a noteworthy, and likely constructive observation.

Quiet But Confident

Summary and Conclusions

One of the great assets of on-chain analysis is our ability to observe both sides of holder behavior; their willingness to hold, and their willingness to spend. What we continue to observe is that the conviction of existing Bitcoin holders remains remarkably high, despite the extreme the volatility and immense deleveraging over the last 2yrs.

It is important to highlight that volume throughput is very low right now, indicating an arguably lackluster inflow of new demand, as well as growing dominance by low volume ordinal/inscription transactions. However, this is matched by an existing holder base who can be argued are increasingly price insensitive.

Given 2022 provided no shortage of reasons to panic, capitulate, and otherwise exit the market, the ageing of coins into multi-year age bands is noteworthy. It suggests a case where those who survived 2022, may require higher prices before opening up their cold storage wallets.


Disclaimer: This report does not provide any investment advice. All data is provided for information and educational purposes only. No investment decision shall be based on the information provided here and you are solely responsible for your own investment decisions.


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Quiet But Confident

The Allure of Profit

https://insights.glassnode.com/the-week-onchain-week-17-2023/

Introduction

The Bitcoin market found resistance this week, reverting from the weekly high above $30,456k, back down to a low of $27,169k. The opening to 2023 has been historically strong from a price performance perspective, with remarkably few significant corrections along the way, with the largest being -18.6%.

If we allow ourselves the assumption that the November low is indeed a longer-term low, we can see that the scale of drawdowns during this upswing so far, are small relative to past cycles.

With this as context, in this edition, we will focus on both the supply foundation formed over recent months, and then follow up with the profit taking behavior seen this week. We will consult several SOPR variants which offer a lens into the typical behavior patterns seen during corrections in a upswing, as compared to more structural bearish trends.


🪟 View all charts covered in this report in The Week On-chain Dashboard.

The Allure of Profit
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A Supply Foundation Below

With the strong opening to 2023, the aggregate market has confidently transitioned out of a regime of unrealized loss, towards one of unrealized profit, shown by the sharp divergence between supply held in profit vs loss. As this takes place, the incentive to take profits grows.

The Allure of Profit
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We can also see this by taking the ratio between Supply in Profit and Supply in Loss. This oscillator has achieved escape velocity this year, confirming the transition out of a regime of loss dominance near cycle lows, observed on only 415-of-4638 trading days (9%).

The Allure of Profit
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Mechanically, these large rebounds in unrealized profit occurs as price rallies above the dense concentration of supply which was accumulated during the bottoming formation process. We can quantify this mechanic by inspecting the 100 day change in profitable supply coming off major cycle lows in both BTC, and Percent of Circulating terms:

  • 2011 Cycle Low: +1.99M BTC (19.8%)
  • 2015 Cycle Low: +4.94M BTC (32.2%)
  • 2019 Cycle Low: +6.86M BTC (38.4%)
  • 2022 Cycle Low: +4.87M BTC (25.5%)

The current cycle has seen a comparable volume of the supply re-enter a profitable position, suggesting an equally robust floor.

The Allure of Profit
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Exploring Profit Taking Behavior

The Bitcoin spot price is currently trading between two popular On-chain pricing models; the Realized Price at $19.9k representing the average acquisition price of the supply, and the Realized-to-Liveliness Ratio at $33.0k.

This second model is akin to a HODLer Implied Fair Value 🟠, and will trade higher when more of the coin supply is dormant in investor wallets. Spot markets fell short of reaching this level this week, topping out around $30.5k.

This suggests that the market has transitioned out of the ‘deep-value’ zone as signaled by trading below the Realized Price, and has reverted back towards a holder implied ‘fair value’ level. With this, we can also expect an increase in the probability of profit taking behavior from coins acquired at cheaper prices.

The Allure of Profit
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We can evaluate changes in the accumulation and distribution behavior of various cohorts over the last six months using the chart below:

  • Phase 1: Heavy accumulation post-FTX across all cohorts, effectively starting the cycle low formation.
  • Phase 2: Distribution during the Jan-Feb impulse higher as the first significant rally after the brutal bear of 2022 rolled around.
  • Phase 3: Light accumulation on the rally back to $28k as market momentum increased, and prices finally broke above $30k.

Over recent weeks, we can see a mix of behavior, suggesting indecision across all cohorts bar the largest of entities with 10k+ BTC. This aligns with aggregate consolidation, the brief break above $30k, and the subsequent sell-off back to $27k this week.

The Allure of Profit
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Following on, the SOPR metric can also be used track the magnitude of profit and loss taking events across the wider market. Here, we define a framework consisting of two binary regimes, which we shall utilize to define market behavior patterns:

  • 🟥 Loss Dominant Regime: Successive prints below 1.0 indicate investors are locking in losses, whilst any returns to breakeven profitability is often utilized as exit point (forming resistance).
  • 🟩 Profit Dominant Regime: Successive SOPR prints above 1.0 indicates a return of profit taking. This is often accompanied by SOPR returning to breakeven being considered a near term value point.

A clear shift between these two regimes was noted in January, as market behavior started to exhibit patterns aligned with a profit dominated regime. With aSOPR currently retesting the break-even level of 1.0, this puts the market close to a decision point.

The Allure of Profit
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We can see a similar structure within the Short-Term Holder SOPR variant, as newly acquired coins have returned to an unrealized profit. The correction in March traded below the psychological $20k level, before experiencing a powerful reversion higher.

This is SOPR pattern is typically observed during constructive pullbacks, and provides a guide for interpreting moving forwards. A sustained period below 1.0 however, could signify a more onerous scenario, where underwater holders start to panic, adding further sell-side.


🎓 SOPR Guide: We have a detailed metric guide for SOPR, and different variants available within Glassnode Academy for further reference.

The Allure of Profit
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Long-Term Holder SOPR variant tends to better reflect macro market shifts. Following an extended period of realized losses (LTH-SOPR < 1.0), the LTH cohort are finally transitioning back into a regime of profitable spending, a structure similar once again to past cycle transition points.

This thesis was further explored last week (WoC 16), where the LTH cohort at the moment consist of many 2021-22 cycle holders, many of whom remain underwater, and are likely to create resistance throughout the market recovery.

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A Return of Capital Inflows

In this final section, we shall inspect the changes in USD denominated profit and loss events, to put the above observations into context, relative to total market size.

The chart below shows, the magnitude of USD denominated profit taken this year, remains well below 2021 cycle highs. It is however of a similar scale to that observed in 2019. It is important to note that market prices rallied from $4k to $14k in 2019, which has a peak 50% lower than our current price of just below $28k.

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This sentiment is also echoed across the realized loss domain, which continues to decline. Total losses remain quite low relative to all major sell-off events throughout 2021-22. This does suggest that a degree of sell-exhaustion has been reached at a macro scale, at least from the lens of wide-scale holders locking in significant losses (i.e. cycle top buyers).

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Finally, we can evaluate the cumulative sum of all realized profit and loss events, more commonly referred to as the Realized Cap. After experiencing significant growth during both legs of the bull market in 2020-21, the Bitcoin network experienced a significant net capital outflow in 2022, contracting back to July 2021 levels.

The Realized Cap has finally stabilized in 2023, and is beginning to see growth, and positive capital inflows once more.

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Summary and Conclusions

After a remarkably strong start to 2023, the BTC market has run up against its first appreciable resistance, reverting the rally up to $30k. This comes alongside a very large cross section of the market seeing their holdings recover above acquisition price, creating a more favorable, and profitable environment.

The aggregate value of profits realized remain relatively small compared to the size of the asset, however are of a USD magnitude equivalent to the 2019 rally to $14k. With accumulation and distribution behavior across several wallet cohorts mixed at the moment, the market appears less decisive than it has been in the first quarter of the year.


Disclaimer: This report does not provide any investment advice. All data is provided for information and educational purposes only. No investment decision shall be based on the information provided here and you are solely responsible for your own investment decisions.



The Allure of Profit

The Price of Time

https://insights.glassnode.com/the-week-onchain-week-13-2023/

The Price of Time

The market has taken a pause this week, with BTC prices consolidating in a tight range between $26.7k and $28.7k. After the historically significant out-performance we covered in last weeks edition, the market is taking a breather.

As this consolidation takes place, we will focus in on better classifying investor profit taking behavior utilizing a variety of on-chain tools:

  • Exchange inflows, including a breakdown into Long and Short-Term holders.
  • Realized profits locked in by investors accumulating coins near the recent lows.
  • Lifespan metrics describing the amount of holding time destruction, to better gauge the confidence investors have in the prevailing uptrend.

🪟 View all charts covered in this report in The Week On-chain Dashboard.
🔔 Alert Ideas presented in this edition can be set within Glassnode Studio.

The Price of Time

Taking Chips Off the Table

In response to the strong price appreciation over recent weeks, investors have increased the volume of coins deposited to exchanges. Net exchange flows ticked higher by approximately 4.18k BTC this week, the largest net increase since LUNA collapsed in May 2022.

This suggests a degree of profit taking is underway, as investors take chips off the table. Prior instances with similar or larger net inflows over the last cycle, have all aligned with major market volatility events, usually to the downside.

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We can also assess the breakdown of coins sent exchanges by either Long-Term or Short-Term holders, allowing us to explore which cohorts are taking profits. Both groups have seen an uptick in coins sent to exchanges, peaking at a total of 31k BTC this week.

  • Short-Term Holders in dominate 92.5% of total inflow volumes, with 65% of the total being STH coins in profit.
  • Long-Term Holders account for just 7.5% of the total deposit volume, however 80% of their volume is in profit, the largest uptick since mid-2021.
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In aggregate, a total of $320M/day in net profits have been locked in by the market on spent coins. This is the largest net profit taking since May 2022, right before the LUNA-UST project collapsed. We note that the magnitude of realized profits still remains well below typical bull market levels.

It is also apparent that the severity of net losses has also been decaying since July 2022. This reinforces our observations from last week (WoC 12) that the market appears to have returned to a more neutral gear, and resembles a more transitional market structure.

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Measuring realized profit/loss is a powerful technique in on-chain analysis, enabled by Pricestamping coins when they move on-chain. From this, we can compare the magnitude of profit locked in over the last month, to the yearly average. Here, we can see that we have the first positive momentum cross-over since the Oct-Nov 2021 ATH.

This tool intuitively indicates periods of heavy, or light profit taking in bullish, or bearish markets, respectively. In particular, note the overall shape of the yearly moving average for Realized Profits, which trends up in bulls, and down in bears.

We will take this observation into our next related and similarly powerful topic of Lifespan.

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Tracking Time

In the prior section, we observed how exchange flows can be related to the degree of profit realized by various on-chain cohorts. We can also supplement this with another suite of tools under the category of Lifespan. Rather than measuring the change in value change of a coin to obtain profit/loss, we instead measure how much holding time is spent between coin acquisition, and disposal.

When we observe heavy Lifespan destruction, it usually means a large volume of older coins are on the move, helping us identify periods where longer-term, and more experienced investors are exiting.

Our first port of call is to assess the macro landscape via the Liveliness metric. This metric elegantly defines the ratio between all-time Lifespan Destruction, and Creation.

  • Liveliness will trend down when the market prefers to accumulate and HODL coins, building a reservoir of Lifespan, and suggesting confidence in the asset.
  • Liveliness will trend higher when the market prefers to distribute old coins, and expend the reservoir of Lifespan, suggesting the asset is considered expensive.
The Price of Time
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Recalling the shape of the Yearly average of Realized Profits, we can see a very similar shape and relationship exists with Liveliness, largely since they describe similar market behaviors:

  • During bull markets, longer-term investors spend long dormant coins and realized large profits. This eventually leads to an oversupply and setting a macro market top.
  • During bear markets, longer-term investors return to a slow accumulation strategy, and there are fewer profits taken day to day. This eventually establishes a cycle floor.

At present, we can see both metrics remain in macro downtrends, suggesting the majority of coins remains inactive on-chain.

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The principle metric for measuring Lifespan is Coindays Destroyed (CDD), which reflects the volume of ‘investor holding time’ that is spent each day. Over the last cycle, we can generally describe upticks in CDD in two categories:

  • Sustained uptrends during bull markets reflecting a consistent distribution pressure as long-term holders take profits.
  • Sharp peaks during high volatility events, typically observed in bear market sell-offs. These reflect periods of widespread panic, as investors spend coins in the face of high volatility.

In recent weeks, a modest uptick in CDD can be observed, however, the magnitude of destruction remains well below typical bull market levels. This indicates that the average spent coin is still relatively young, aligning with our observation that Short-Term Holders dominate profit taking at present.

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A useful tool to compare this across cycles is Binary CDD, which converts the CDD metric into a result of one if the magnitude exceeds a long-term average (returns zero if not). Here we have also smoothed the trace with a 7-day average to create an oscillator.

From this perspective, profit taking by long-term holders in bull markets becomes extremely apparent, highlighted as sustained periods of red and orange. In our current market however, we remain firmly within a quiet patch, typical of bearish markets, early bulls, and the transitional period in between.

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The recent uptick in CDD is quite visible when broken down across the LTH and STH cohorts. Despite Long-Term Holders contributing the least to spent coin volume, their holding time is much longer, and thus they tend to have an outsized influence on Lifespan metrics.

By this measure, the recent profit taking is also fairly modest, and has not yet established a sustained uptrend in CDD.

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Zooming into Short-Term Holders, the average age of a spent STH coin has also increased, effectively doubling from ~10-days in the months leading up to the FTX failure, up to 21-days today. This adds further evidence to the argument that the Short-Term Holder cohort, who accumulated BTC near the cycle lows, are the primary participants behind recent profit taking.

It also suggests that STHs are increasingly willing to wait for longer periods, suggesting a degree of confidence in the prevailing market trend.

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The Value of Time

Finally, we can bring Lifespan into the price domain, drawing on our prior research developing the Value Days Destroyed Multiple (VDDM). This metric compares the monthly dollar value of CDD to its yearly average.

Currently, we can see that the VDDM value is accelerating out of a long period trading around cycle lows. This indicates that the CDD value destruction in response to recent price action is leaving typical bear market territory, and suggests sufficient demand is flowing into the market to absorb the profits taken.

This again bares many similarities to the late 2015, 2019, and 2020 eras, which turned out to be market cycle transition points.

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Summary and Conclusions

As the Bitcoin market takes a break, profit taking by investors is starting to warm up. Short-Term Holders who accumulated near the cycle lows dominate the majority of spending behavior, although their willingness to hold coins for longer periods is evident.

Overall, the majority of BTC appears to be quite inactive on-chain, suggesting investors continue to have confidence in the prevailing uptrend. Similar to our article last week, through the lens of coin Lifespan, Bitcoin again appears to be entering a transitional market period.


Disclaimer: This report does not provide any investment advice. All data is provided for information and educational purposes only. No investment decision shall be based on the information provided here and you are solely responsible for your own investment decisions.


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The Price of Time

Investigating the Cost of Bitcoin Production

https://insights.glassnode.com/investigating-the-production-cost-of-bitcoin/

Investigating the Cost of Bitcoin Production

Miners are an essential entity within the Bitcoin network, responsible for the building and ordering of blocks, and the defence against reorganisation of the chain. As a reward, miners receive newly issued coins, and transaction fees. As such, the Mining cohort represents the production side of Bitcoin, and operates within a hyper-competitive industry of bidding for Bitcoin (BTC denominated revenue) with power, CAPEX, and OPEX (fiat currency denominated costs).

In this report, we will explore the dynamic relationship between Miner profitability, and issuance production, in an attempt to obtain a deeper understanding of the complex interplay between between these essential, yet opposing economic factors. We will start with the basic metrics of hashrate and difficulty, and then convert these into tools for modelling the cost of BTC production.

🪟 View all charts covered in this report in This Dashboard.

Hashrate Generation

The network Hashrate can be considered as the number of attempts miners make in aggregate, per second, to find a valid block hash. The observed hashrate is generated by millions of ASIC machines computing many trillions of SHA-256 hashes each second. The chart below shows the estimated number of modern rigs (assuming a single device fleet) would be required to generate the observed hashrate, with counts in the millions of ASIC devices.

Investigating the Cost of Bitcoin Production
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Therefore, Hashrate can be considered as a composite expression of both mining participation, and the generational efficiency of operational ASIC rigs in the fleet. As miners operate in a diverse market for power and hardware, the aggregate hashrate is a reflection of many unique and geographically dispersed mining strategies.

The growth of hashrate is both cyclical in nature, but also decays exponentially as ASIC hardware efficiency plateaus. Through the 2022-23 era, hashrate growth has hovered at around 30% to 50% per year.

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Difficulty Adjustment

Mining Difficulty is a parameter set by the Bitcoin protocol to regulate the average time between blocks. At a technical level, it is a measure of how difficult it is to find a hash below a given target.

The difficulty re-targeting algorithm creates a dynamic relationship between the behavior of miners, and the issuance of new coins, where a higher protocol Difficulty implies an increasing cost of production per unit of BTC. As more hashpower competition enters or leaves the network, the difficulty adjustment resets the equilibrium position such that a pre-determined schedule of BTC is produced, irrespective of how much hashpower is competing for it.

The net result is that mining is a hyper-competitive industry, where the cost of production for BTC is constantly approaching the break-even price for the average miner over the long-term.

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Modelling the Cost of Production

The Difficulty Regression Model is one approach for estimating the all-in-sustaining-cost of production for a unit of BTC. It considers Difficulty as the ultimate distillation of mining ‘price’, which accounting for all the mining variables in one number. A log-log regression between Market Cap and Difficulty yields a R2 value above 0.95, indicative of the strong relationship between asset value and mining competition.

The derived price therefore reflects an estimated average production cost for BTC across the mining industry, without requiring bespoke breakdown of mining equipment, power costs, and other logistical considerations.

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We can utilize the result of this Difficulty Regression Model, and multiply this price by the BTC supply issued, providing an approximation of the Total Production Cost.

Investigating the Cost of Bitcoin Production

This model leverages the notion that both Operational, and Capital Expenditure are fully reflected within protocol Difficulty in aggregate. Therefore, the total estimated expenditure across the mining industry can be obtained. The chart below presents two traces:

  • 🔵 Total Production Cost as an estimate for the expended value to produce the coins mined each day.
  • 🟠 Total Miner Revenue as an aggregate measure of the spot value of each coin at the time it was mined.
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From this, we can define a new metric describing the average operational efficiency of the mining sector, by comparing the revenue generated, to the estimated total cost of production. This metric assesses a form of Revenue-to-Cost Ratio, a methodology commonly used to measure the aggregated efficiency of a target entity, in this case, the Bitcoin Mining Industry.

  • 🟢 Values > 100% indicate a profitable mining industry, with revenue-to-cost ratios above 350% typically observed near bull market peaks.
  • 🔴 Values < 100% indicate an unprofitable mining industry, with revenues falling to just 30% to 50% of the estimated production cost near bear market lows.

Note that mining requires long-term capital management, and Revenue-to-Cost Ratios will reflect the dynamic competition of the market such as ASIC rigs which have paid themselves off, evolving power input costs and sources, and difficulty adjusting to varying amounts of hashpower applied.

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Tracking Mining Cycle Momentum

In order to normalize across halving cycles, we can produce a ratio between the Revenue-to-Cost Ratio and its yearly moving average, providing an indicator reflecting the cyclical momentum of industry profitability.

This ratio assesses the current aggregate Miner profitability against its long standing baseline and can be considered under the following framework:

  • 🔵 When Miner Revenue Momentum is greater than 0, indicates the mining industry is seeing improving revenue multiples relative to the yearly average.
  • 🟠 When Miner Revenue Momentum is less than 0, indicates the mining industry is seeing deteriorating revenue multiples relative to the yearly average.
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Cumulative Revenue vs All Time Production Cost

We can evaluate the difference between the total all-time revenue generated by miners and the estimated production cost for all coins minted and in circulation. This analysis examines the lifetime performance of two interdependent components of the mining industry.

  • 🟢 Thermocap and Transaction Fees taking the cumulative sum of Issuance multiplied by spot price in addition to all-time generated fee revenue.
  • 🔴 Difficulty Production Cost taking the cumulative sum of the Difficulty Regression Price multiplied by Issuance.

In this model, the Thermocap and Transaction Fees can be considered the realized revenue by miners, whilst the Difficulty Production Cost is considered the aggregate mining input expense.

Currently, miner have generated $48.8B in revenue since Bitcoin began openly trading in 2010, whilst miners have expended an estimated $35.8B in production. This culminates in a net surplus of +$13.0B across the mining industry, and an all-time profit margin of 37% (noting that profit margins have been extremely tight since 2015).

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Upon assessing the number of trading days where Miner Revenue exceeded the daily Production Cost, we find that this was the case on 47% of trading days, and thus 53% of trading days have been unprofitable for the average miner.

According to economic theory, a perfect market is one where supply and demand reach equilibrium, and the price of the asset approaches the point of cost (production price). Given how close these numbers are to a 50:50 condition, one could argue that the difficulty adjustment has done a remarkable job of targeting just such an equilibrium.

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Summary and Conclusions

The Bitcoin difficulty adjustment is one of the most remarkable of Satoshi’s innovations, creating a system that autonomously seeks equilibrium in the mining sector. From this research, we developed a model which estimates the cost of production for the average miner. From this, we can derive several metrics which describe the cyclical nature of the mining market, as well as suggest that the difficulty adjustment algorithm indeed seeks a near perfect balance between supply of hashpower, and the demand for BTC coins.


Disclaimer: This report does not provide any investment advice. All data is provided for information and educational purposes only. No investment decision shall be based on the information provided here and you are solely responsible for your own investment decisions.



Investigating the Cost of Bitcoin Production

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply

https://insights.glassnode.com/bitcoin-supply-distribution-revisited/

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply

The supply distribution of Bitcoin continues to be a topic of great interest, both for the analysis of the flow of capital, but also for observing cohort behaviors of the holder base. The distribution of coins is also the subject line for many Bitcoin critics, often mis-quoting large wallets as evidence for a heavy supply concentration held by a small handful of whales.

In our original article, we analyzed the distribution of Bitcoin to show that BTC ownership can be demonstrated to disperse over time, and is much less concentrated than often reported. To achieve this, we implemented our entity-adjustment clustering algorithms, which collate and group multiple addresses deemed to have a single entity owner. These tools improve both our accuracy and precision for measuring economic activity on-chain, and isolates large entities such as exchanges or ETF products which represent large collective user-bases. Both of these in combination enhances our signal-to-noise ratio for using on-chain data to make decisions.

The aim of this article is to provide a follow-up update on the growth and contraction of supply held by these defined entity cohorts, and to provide remarks on the distribution of the circulating supply as it stands today.

Note on analysis nuance: For simplicity, this report, and the figures shown reflect aggregate values, and limits discussion of some of the underlying nuances. More detailed points relating to this nuance are presented at the end of the piece for further reference.


TL;DR Key Takeaways

  • This refreshed analysis of supply changes between wallet size cohorts further supports the case that the BTC supply has indeed continued to distribute over time, with relentless distribution by miners being an indicative example.
  • An increasingly large proportion of supply is held by smaller entities representative of retail holders, with Shrimps (< 1BTC) and Crabs (< 10 BTC) absorbing a remarkable 2.25x more coins than were mined in 2022.
  • Institutional adoption post March 2020 is visible on-chain across several wallet cohorts, with balances showing signs of being increasingly market driven (i.e. swelling/contracting with price). Entities with a balance between 10 and 1k BTC are absorbing coin volumes equivalent to 100% of issued coins in 2022.
  • Exchange reserves continue to deplete in aggregate, especially following the collapse of FTX. This is a combination of both renewed demand for self-custody, but also the expansion of institutional and collaborative custody solutions, and exchange traded products like GBTC.

Bitcoin Supply Distribution

To start, we will reintroduce our sea-creature cohorts, which divide network entities according to their Bitcoin holdings:

  • Shrimps (<1 BTC)
  • Crab (1-10 BTC)
  • Octopus (10-50 BTC)
  • Fish (50-100 BTC)
  • Dolphin (100-500 BTC)
  • Shark (500-1,000 BTC)
  • Whale (1,000-5,000 BTC)
  • Humpback (>5,000 BTC)
  • Exchanges and Miners
The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply

In our original article, we calculated both the percentage of the circulating supply held, as well as the raw volume of coins held per Entity cohort. The chart below provides a summary of the state of the relative ownership of the Bitcoin supply approximately 2-years later.

Assessing the change experienced by each cohort since Feb 2021, we can see that the smallest entities (Shrimps to Octopus) saw relative growth, whilst Whales, Miners and Exchanges experienced the largest contractions in supply share.

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply

We can also explore changes in the relative distribution of supply by way of a new metric, the Yearly Absorption Rate. This tool provides a relative measure of balance change relative to the volume of newly minted coins over the last year. This provides insight into the level of expansion / contraction a cohort has experienced relative to new supply entering the market.

  • Absorption Rate of 120% means a cohort balance grew by 1.2x new issuance.
  • Absorption Rate of 0% means a cohort balance was flat over the past year.
  • Absorption Rate of -80% means a cohort balance declined by 0.8x new issuance.
The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply
The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply
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⛏️ Miners

We will start with the Miner cohort, who are the production side of BTC, and the original custodian of every coin in circulation. A common mainstream critique of Bitcoin is that large and well capitalized industrial scale miners have an outsized ability to obtain and hoard coins, becoming a point of supply concentration (of course this ignores the tremendous input costs, and hyper-competitive market for BTC production).

Of all the critical claims levelled at Bitcoin, this one is likely the easiest to disprove. Considering the total balance held by Miners, we can see an aggregate decline from 100% ownership at genesis to just 9.5% at present date. This is actually an overestimation of the share of the circulating supply held by miners as it includes the Patoshi coins (which are increasingly likely to be lost as time passes). Removing these, we can see that non-Patoshi miners collectively own just 3.77% of the circulating supply today.

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply
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This net distributive force can also be seen in the Yearly Absorption Rates for miners, where in general, this cohort balance declines by 1.05 to 1.1 BTC for every 1.0 BTC that is mined. This represents a gradual expenditure of the accumulated balance across all miners throughout history.

Of note are periods in the 2020-22 cycle, where miners actually absorbed slightly more BTC than was mined. This coincides with the emergence of publicly traded mining companies, with greater access to capital markets to fund operations outside direct sales of produced coins.

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply
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🦐 Shrimps [< 1 BTC] to 🦀 Crabs [1-10 BTC]

For assessing retail participation, the Shrimp to Crab cohort is our first port of call, encompassing all entities holding less than 10 units of BTC. Despite the profile of this cohort mainly consisting of retail participants. Tenured HODLers with multi-year accumulation strategies will also appear within this distribution, especially if they use privacy best practices (such as avoiding address re-use or consolidating UTXOs).

Analyzing the total supply held by Shrimp entities and the subsequent monthly change to the supply held, we note 2 major observations:

  • The monthly position change has remained positive near indefinitely, with only 37 trading days recording a lower aggregate Shrimp balance than the prior month.
  • Both the LUNA and FTX implosions inspired the largest monthly increase in supply on record, at +56k and +92k BTC per month, respectively.

The current monthly position change remains historically elevated at +24k BTC per month, and only 224 trading days have seen a larger monthly change.

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply
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The Crab cohort has experienced month-on-month balance growth for 94% of all trading days, with only 305 days of decline. Following the LUNA and FTX implosions, the Crab class also experienced its largest monthly inflow of +78.4k and +130k BTC, respectively.

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply
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At present, Shrimp entities command a non-trivial 6.6% of the circulating supply (up from 4.86% 1yr ago), equivalent to 1.26M BTC, whilst Crabs hold 10.5% of supply (up from 8.7% 1yr ago), equivalent to 2.03M BTC.

The Yearly Absorption Rates for both cohorts have also been almost always positive since inception, with the only notable exception for Crabs being a lower to flat participation throughout H2-2022. These cohorts are currently experiencing an all-time-high in relative balance growth, recording an absorption rate equivalent to 105% of the yearly issuance for Shrimps, and an even larger 119% for Crabs.

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply
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🐟 Fish [10-100 BTC] to 🦈 Sharks [100-1k BTC]

This cohort accounts for higher-net worth individuals, trading desks, and institutional sized entities holding between 10 and 1k BTC. This particular cohort has a notably large balance range, a result of several nuances related to how these entities came to possess, and also manage their holdings. This cohort accounts for:

  • Early Bitcoin adopters who acquired many coins at significantly cheaper prices.
  • Wealthy individuals who allocated large positions to Bitcoin, including those who spread acquisitions over several tranches (and thus may hold unclustered UTXOs).
  • Trading desks, high net worth individuals, and institutions that utilize a blend of self-custody, and institutional grade custody solutions.
  • Given the Bitcoin ledger is transparent, many larger holders, and custodians will break down larger holdings into sets of smaller UTXOs to avoid ‘whale watching’ detectors (e.g. 1k BTC could be reflected in 100x smaller 10 BTC UTXOs).

An example of this last point can be seen in the chart below, where large volumes of UTXOs were broken down from the ‘Whale cohort’, and transferred into the ‘Shark cohort’ in early 2021.

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply

This aggregate cohort saw general balance growth from genesis until late 2017, at which point growth stagnated following the Dec-2017 parabolic top. After this, wallet behaviors appear to take on more market responsive, shorter-term trading pattern. The cohort balance has remained flat over the long term, but tends to oscillate in response to market price signals.

Notably, during and after the industry wide deleveraging event that took place in mid-2022 onwards, this cohort has seen a relatively organic resurgence of supply growth. This perhaps suggest a change in investor behavior by entities within this wealth class, responding both to heavily depressed prices, but also to renewed awareness of counterparty risk with custodians.

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply
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Through the lens of Yearly Absorption Rates, the Fish to Shark Cohort display three principal behavior phases:

  • Genesis to Dec-2017: saw this cohort as a primary participant in net supply absorption, due in part to all block rewards being within this cohort range (50 to 25 BTC), but also due to relatively low prices, making such a position size relatively cheap to acquire in USD terms.
  • Dec-2017 to Feb-2021: a change in the structure of the Yearly Issuance Absorption rate can be seen, transitioning from a regime of constant growth, to one of localized periods of expansion and contraction. Over this period, this cohort saw net balance change being in net equilibrium, and thus experiencing a relative loss of dominance of circulating supply held.
  • Feb 2021 onwards: alongside a wave of institutional adoption, greater market liquidity, and general awareness, balance changes in cohort became increasingly volatile, and biased towards balance expansion. This cohort is currently experiencing a significant balance growth of +104% of issuance, with an approximate 75:25 split contribution from Fish and Sharks respectively.
The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply
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🐳 Whales [1k+ BTC]

Finally, we examine the supply held by Entities with more than 1k+ BTC across their clustered addresses, whilst excluding coins held on exchanges. The Whale cohort saw the largest supply expansion take place up until the second halving event in mid 2016, at which point they held ~7.8M BTC (approx 50% of the supply). This was similarly possible due to the initial block reward issuing 25 to 50 BTC per block, alongside historically cheap prices, where 1k BTC was typically less than $1M in value.

Over time, the dominance of Whale entities in the total supply held has consistently declined, from 62.7% at the first halving in 2012, down to 34.4% today, a 45% dilution over seven years.

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply

The 2017 bull market was a notable turning point for Whale behavior, as exchanges and mature markets developed, and Whale balances started to declined significantly. By the end of the 2018 bear market, Whale entities held between 6.4M and 6.6M BTC, a 16% decline since their peak holdings in H1-2016. Whale entities currently hold around 6.64M BTC,l equivalent to 34.4% of circulating supply.

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply

Through the lens of Yearly Absorption Rate, there are two primary periods that stand out for this cohort:

  • The 2017 bull run which represented a net decline in Whale balances, likely in response to historically large inflows of new demand, high volatility as well as increasingly developed markets which were liquid enough to distribute into.
  • The 2020-21 bull run which saw the first real wave of institutional and corporate capital enter the space, alongside an expansion of ETP products such as GBTC and other ETFs. This period reflected the first major expansion of balance held by Whale entities since 2016.
The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply
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🏦 Exchanges

Within an on-chain analysis framework of supply and balances, Bitcoin exchanges can be reasonably considered to be the ‘middle-man’ through which a majority of coins that change hands pass. The expansion of one or another wallet cohort is usually balanced by either an opposing change in another wallet cohort, or via changes across the aggregate exchange reserves.

When analyzing the history of Exchange Balances, the March 2020 sell-off event remains a pivotal inflection point, as investor behavior and market structure changed dramatically.

  • Since the collapse of Mt Gox in 2013, the dominant trend was for coins to continually flow towards exchanges, a trend that persisted until March 2020.
  • Post March 2020, a structural change occurred, and coins started to flow out of exchanges at increasing rates. These outflows are directed towards both self-custody investor wallets, but also into institutional and collaborative custody services, and exchange traded products such as GBTC (which trade outside on-chain spot markets).
  • This effect was supercharged after the collapse of FTX, as the market was once again, brutally reminded of the nature of counterparty risk. The Nov-Dec 2022 period remains the largest monthly outflow of -200k BTC/month.
The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply
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From a Yearly Absorption Rate perspective, these phase shifts are apparent. The 2017 bull run can be seen to be the historical peak of relative exchange balance growth, growing by an equivalent of 177% of issued coins over that year. This growth trend reversed after the Feb 2018 mania peaked, and turned negative shortly after the 2020 COVID sell-off. It can be seen that Exchange balances are through many periods of history tend to trend in opposite directions to key investor cohorts detailed above.

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply
Live Professional Workbench

Overall Distribution by Number of Entities

In the sections above, we have explored the relative balance and balance change of various wallet cohorts. In this final section, we will explore the relative number of entities, and compare that to the aggregate balance held. The chart below shows the estimated number of entities (x-axis in log scale), whilst the right shows the relative proportion of supply held (x-axis in linear scale).

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply

From this, we can see that entity counts follow a Pareto distribution, with over 32M Shrimp accounting for 6.5% of the circulating supply. This compares to around 1640 Whales holding approximately 28.3% of the supply. For each cohort, we can gauge an average balance per entity for a sense of scale (valued at a price of $22.4k):

  • Shrimp = ~0.039 BTC ($873.6) with population of 32M
  • Crab = ~2.73 BTC ($61.15k) with population of 740k
  • Octopus = ~21.75 BTC ($487.2k) with population of 80k
  • Fish = ~74.17 BTC ($1.66M) with population of 12k
  • Dolphin = ~214 BTC ($4.79M) with population of 10k
  • Shark = ~763.63 BTC ($17.1M) with population of 2.2k
  • Whale = ~1855.17 BTC ($41.6M) with population of 1.45k
  • Humpback = ~14,473 BTC ($324M) with population of 190

Viewed as a distribution over time, we can see that the smallest cohorts by balance (Shrimp and Crabs)  have consistently grown in both population size (bottom chart), but also in terms of relative supply share held (top chart). Overall, this speaks to a structural dispersion of supply over any medium to long term timeframe as Bitcoin adoption and awareness grows.

The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply

Summary and Conclusions

In this review of the supply distribution for Bitcoin, we find that the observations made within the original piece are reinforced, and the BTC supply is continuing to distribute to more wallets, of a smaller average size over time. Of most interest is the extraordinary growth in dominance of the smallest cohorts by balance size (Shrimp and Crabs), especially through 2022. This reflects a degree of retail participation that is effectively at all-time-highs, and encouraging to see.

In recent history, there are two events which stand out as behavioral turning points across several cohorts:

  • March 2020 sell-off, after which the entrance of institutional size capital becomes apparent, and reverses a trend of stagnant or even declining dominance by larger entities.
  • Mid-2022 Deleveraging and FTX, which created the largest impulse of self-custody, and exchange withdrawals in history. This effect is visible across several wallet cohorts, cementing it as a widespread inflection point.

Overall, the Bitcoin supply can be shown to continually to disperse, driven both from the production side (miners), but also across market cycles (investors/holders). This is a healthy observation, and is no doubt an unbelievable reality to chew on for the cohort of professional Bitcoin critics.


Discussion of Nuances

On Bitcoin Entities: Bitcoin addresses are the basic public addresses recorded on the blockchain that send and receive BTC. Through the application of a variety of heuristics, and advanced clustering algorithms, one can identify clusters of addresses which we have a high confidence are controlled by the same participant, i.e. network entity. This creates an closer approximation for the number of network participants, allowing subsequent analyses to more closely model the underlying network realities. Please refer to our previous work for more information.

On Entity Balance change metrics: As discussed in this article, the figures presented are a best estimate of the true distribution of Bitcoin ownership. At an aggregate level, the trends and magnitude is instructive. For a more granular analysis, additional nuances, and even more refined data is required to properly account for a more individual market structure. Here are several points to take into consideration on this front:

  • Supply on exchanges: Quantifying exchange users will have an impact on the above distributions. The estimated number of users on exchanges is in the ballpark of 130 million. It is reasonable to assume that a majority of those by count are retail sized investors, located in the smaller entity buckets. It would require more granular analysis of the distribution of holders on exchanges to distribute the 2.3M BTC held at these custodians. For simplicity, this analysis isolates these coins, but it could be argued that the on-exchange distribution could very well be similar to that of on-chain wallets (i.e. a subset of the total).
  • Custodians: Grayscale and other institutional custody services are not explicitly accounted for in this aggregate analysis. However, the BTC held is disproportinately located within the whale+ cohorts. For GBTC in particular (holding ~650k BTC at the time of writing), these coins are held within Coinbase Custody (no longer within our Coinbase exchange entity cluster), and are owned by multiple participants on secondary markets. One could thus argue that the GBTC ‘Whale Balance’ is in fact representative of a supply distributed amongst its own holder base.
  • Wrapped BTC: Similarly, there are around 180,000 BTC wrapped in the WBTC ERC20 token, however this aggregate analysis will consider them as a single Whale sized entity. Again, given that these wrapped coins belong to many investors, the ownership of BTC would in reality disperse further across entities.
  • Lost coins: Many coins are from the early days are most likely, and are generally considered to be lost. In addition, given the low price of Bitcoin early on, large amounts of BTC were often held within single addresses/wallets, especially prior to BIP32 introducing HD wallets to generate a new address each transaction. Common heuristics to determine which coins are lost may be those that have never transacted since markets started trading (~1.457M BTC), or long dormant 7yr+ old coins (4.45M BTC). Factoring in lost coins which are disproportionately skewed towards higher balance cohort groups would act to indicate an even more widespread supply distribution.
  • The estimated number of small network entities: The total number of network entities is most likely much lower than indicated. Our methodology is very conservative, meaning that we optimize to avoid false-positives. However, many addresses owned by the same real-world entity are unlikely to be clustered into a single entity. Consider that a monthly DCA strategy HODLer who never combines UTXOs, and never re-uses addresses will see each monthly acquisition appear as a discrete entity. This effect is most pronounced for small entities due to their relative population size, however the effects will also be prevalent amongst larger entities. This means that the actual number of network entities is likely to be lower than the ranges shown.

Disclaimer: This report does not provide any investment advice. All data is provided for information and educational purposes only. No investment decision shall be based on the information provided here and you are solely responsible for your own investment decisions.



The Shrimp Supply Sink: Revisiting the Distribution of Bitcoin Supply

Ordinal Theory and the Rise of Inscriptions

https://insights.glassnode.com/ordinal-theory-and-the-rise-of-inscriptions/

Ordinal Theory and the Rise of Inscriptions

Recent weeks have seen an very unexpected trend emerge on the Bitcoin network, being the permanent and immutable inscription of data, directly into the Bitcoin blockchain. Data files that have been inscribed range from images, to audio clips, and even a version of the video game Doom.

This event has inspired a great deal of discussion and debate around the ramifications of this non-monetary application of Bitcoin blockspace. Given the significant surge in interest regarding NFTs on other blockchains over the past 24-months, it can be expected that the emergence of NFT-like collectables on Bitcoin will experience a similar growth trajectory.

In this report, we will explore the fundamental properties of both Ordinal Theory, and Inscriptions, and then analyze how this trend is being expressed within the footprint of Bitcoin on-chain data.

Emergence of Ordinal Theory

The satoshi is the smallest unit of account within the Bitcoin blockchain, equal to 0.00000001 BTC, or one-one-hundred-millionth of a bitcoin. Ordinal theory is a proposed methodology for individually identifying (via a serial number), and tracking each individual satoshi throughout the Bitcoin coin supply. The methodology tracks satoshis as they travel from first minting, through the full lifespan of transactions.

It is important to note that Ordinal Theory is a theoretical concept and methodology overlaid into Bitcoin UTXO set at the social layer. It has no on-chain footprint, and satoshis are not actually serialized at a protocol level.

SegWit and Taproot

The crescendo of the Bitcoin blocksize debate was the successful implementation of the SegWit upgrade in Aug 2017. Amongst other things, SegWit introduced a split data structure for Bitcoin transactions which acted to both improve transaction data efficiency, and increased the design space for Bitcoin scripts (enabling lightning network for example).

SegWit also established a blocksize measured in terms of Weight Units (wu), where a maximum cap of 4-million weight units (4M wu) per block replaced the prior 1MB max blocksize definition.

The post SegWit Bitcoin transaction data structure has two parts:

  • Transaction data containing details of the sender, receiver, inputs, and output. Each vByte of Transaction data counts for 4 wu (four times the weight per vbyte compared to Witness data).
  • Witness data containing the cryptographic signatures and scripts. Each vByte of Witness data counts for 1 wu (25% the weight per vbyte compared to Transaction data).

The chart below shows how the average data size of a Bitcoin block surpassed the 1MB ceiling following the SegWit soft fork.

Ordinal Theory and the Rise of Inscriptions
Live Advanced Workbench

In Nov 2021, the Taproot soft fork was activated, which removed several SegWit era guardrails that had imposed a constraint on the maximum per-transaction witness data footprint. It was this change that was the final piece of the puzzle enabling what we now know to be Inscriptions.

Introducing Inscriptions

Inscriptions are a new technology which leverages both the discounted Witness data footprint, and the newly unconstrained per-transaction Witness data size. In effect, it is a method to insert arbitrary data such as images, audio files, and even software into the Witness data portion of a transaction. The chart below shows how the average Bitcoin transaction size has increased by 138% in recent weeks, as Inscription transactions with a larger data footprint increase in number.

Ordinal Theory and the Rise of Inscriptions
Live Chart

These Inscriptions are best described as digital artefacts, which differ from NFTs found on other chains. Typically, NFTs found on Ethereum or Solana are a unique token which contains a reference pointer to the target file (such as an image file) hosted elsewhere. Hosting services range from cloud servers, to IPFS, to file-storage blockhains, each with unique counterparty risk trade-offs, and unique to each NFT token. Inscriptions on the other hand actually contain the raw file data, written directly into the Bitcoin blockchain, making them somewhat unique in character.

The effect of this new innovation has seen Taproot adoption and utilization spike to all-time-highs of 9.4% and 4.2% respectively (please refer to our research piece for more information on adoption vs utilization).

Ordinal Theory and the Rise of Inscriptions
Live Advanced Chart

Social Fungibility vs Protocol Fungibility

Since Ordinals have no on-chain footprint, the protocol level fungibility remains unchanged. However, fungibility at the social layer is altered, with individual sats now having a form of rarity, and a history of inscribed information. Should Ordinal Theory and Inscriptions catch, this effectively alters the perceived value of each satoshi, such that a collector may be willing to pay more than the notional value due to the carried Inscription.

An appropriate analogy here is rare collectable coins. These coins may have a face value of $1.0 (and can be spent as such), but the unique design, minting year, and perhaps previous owner impart a value of more than $1.0, at least for a sub-set of discerning buyers.

The creator of Ordinal Theory and Inscriptions also suggested a notation system to describe the rarity of each Inscription. This is achieved by identifying the position of the sat across four parameters:

  • A° – Index of Sat in the Block.
  • B’ – Index of the Block in the Difficulty Adjustment Period X/2016
  • C’’ – Index of Block in Halving Epoch X/210,000
  • D’’’ – Cycle Number

Inscription Excitement

The hype following the mainstream discovery of Inscriptions has been remarkable. The excitement of inscribing digital artefacts into the oldest and most decentralized blockchain has resulted in an explosive increase in transaction counts, congestion in mempools, and climbing average block-sizes.

The total number of Inscriptions is above 90k at the time of writing, with the most popular format being image files, with over 78k to date, and text representing over 10k inscriptions (note chart below left hand scale is log).

Ordinal Theory and the Rise of Inscriptions
The “Other” category contains PDFs, JSONs, PGP signatures and ZIP files etc.

Breaking down the Transaction Count by its distribution types, images transactions are the most popular, accounting for 88.1% of all Inscription transactions so far. Text files claim the second position, representing 11.4% of all Inscriptions.

When assessing the two most popular Inscription types in combination, their share of the total Inscription Transaction count amounts to 99.5% of all Inscriptions so far.

Ordinal Theory and the Rise of Inscriptions

Comparing the count of Inscription transactions as a percentage of all on-chain transactions, an exponential rise is apparent, with Inscriptions now commanding 4.2% of all transactions, down slightly from a peak of 6%.

This is largely dominated by image based Inscriptions whose popularity and dominance continues to rise. Text files are experiencing a steady growth, with text based Inscriptions approaching an ATH dominance of 6.5% of all Inscription transactions.

Ordinal Theory and the Rise of Inscriptions

Next, we can analyze the degree of uniqueness amongst Inscriptions by assessing the distribution of duplicated Inscriptions. Currently 68,110 (81.9%) of all recorded inscriptions remain unique with ~15,103 (18.1%) being at minimum, a duplicate.

Ordinal Theory and the Rise of Inscriptions

Assessing the Inscription Impact on Blocksize

One of the more prominent debate topics related to Inscriptions is the longer-term impact on both the total data size of the Bitcoin blockchain, mined block propagation by miners, and impacts on full node sync. Inscriptions, should this trend persist, effectively accelerates the Bitcoin blockhain towards a state of consistently near-full blocks.

Since Dec 15 2022, all Inscription transactions have increased the chain size by 1.74GB, an increase of 0.4% in relation to the all-time chain size (444GB) at that time.

Ordinal Theory and the Rise of Inscriptions

Consistent with the popularity of the Inscription images, the majority of the chain increases can be attributed to image Inscriptions, responsible for 93.3% of all Inscription data whilst Text Inscriptions account for a much smaller relative data footprint of 4.59%.

Ordinal Theory and the Rise of Inscriptions

When assessing the mean size of an inscription transaction, image type data density remains low, with each transaction increasing the chain size by 21kB. Similarly, Text Inscriptions have considerably the lightest data footprint with the average transaction 8kB in size.

Despite a negligible presence across the total Inscription footprint, the Audio, Video and Other Inscription types are on average considerably larger per transaction than their counterparts.

Ordinal Theory and the Rise of Inscriptions

Observing the count of Inscription transactions by size distribution, we note that large sized Inscription transactions have a significantly lower frequency, orders of magnitude lower than smaller sized transactions.

Ordinal Theory and the Rise of Inscriptions

A ravenous rise in the percentage of blockspace consumed by Inscription transactions occurred throughout the month of February, filling 47% of all available Blockspace, and recording a peak of 60%.

When considering the fact that Inscriptions account for 4.2% of all on-chain transactions, yet consume over 47% of used blockspace, it is evident that Inscription are an incredibly data dense class of transactions.

Ordinal Theory and the Rise of Inscriptions

However, in the preceding months prior to this Inscription mania, we note that blocks remained largely unfilled, with only 25-50% of available blockspace used.

This changed dramatically since the emergence of Inscriptions, with blocks now commonly reaching between 80-90% saturation (3.2-3.6MB). Since blockspace cannot be stored for future availability, one could consider Inscriptions as a consumer of blockspace that would have otherwise finalized empty.

Ordinal Theory and the Rise of Inscriptions
Live Advanced Workbench

Modelling the Impact on Blockchain Size

One of the discussion points around Inscriptions is the impact of a heavier data footprint over the long term with respect to full node sync/validation times, and data storage requirements. On this latter point, we can project an additional 14-yrs of Bitcoin history under the following average blocksize assumptions:

  • 🟣 Full 1.35MB blocks, simulating the peak pre-Inscription 30-day average blocksize.
  • 🟠 Full 2.50MB blocks, simulating the peak post-Inscription average block size.
  • 🔴 Full 4.00MB blocks, simulating the theoretical upper bound average blocksize.

If we assume a constant present day cost of data storage of around $0.035/GB for hard drives, this puts the upper bound hard drive cost at around $120 in 2037. This remains well within commodity hardware territory, and ignores all effects of technology deflation over time.

Ordinal Theory and the Rise of Inscriptions
Live Advanced Workbench

Inscriptions and the Fee Market

Inscriptions have also had a dramatic effect on Mempool congestion, with our Mempool being filled with many such transactions paying very low fee-rates, typically 1-2 sat/vByte.

A consistent level of demand has been sustained over recent weeks, with the number of low fee paying transactions remaining elevated, and higher fee transactions are regularly mined into blocks.

This can be compared to the post-FTX panic, where the mempool was filled with high urgency, high fee rate monetary class transactions. For Mean and Median fee rates paid, Inscriptions have created a net increase in the sat/vbyte fee rate, however much less than the post-FTX panic, and still well within the range over the last 12-months.

Ordinal Theory and the Rise of Inscriptions
Live Advanced Chart

We can also model out the number of pending blocks required to clear the mempool assuming standard 1MB non-SegWit transactions 🔴, full Seg-Wit 4MB blocks 🔵, and using the average hourly blocksize 🟢. A significant difference is noted relative to the post-FTX period, where a large influx of transactions decayed quickly as the panic settled, and transactions were processed.

For Inscriptions, we can actually see gradually growing demand for blockspace, with a sustained growth in the number of pending block required to clear the mempool.

Ordinal Theory and the Rise of Inscriptions
Live Advanced Workbench

Despite congestion in the mempool, the total value of current fees waiting in the mempool pales in comparison when compared to the FTX implosion. At that time, the source of the majority of fee pressure was emanating from 10 to 50 sat/vByte transactions, most likely due to panic sellers depositing coins at exchanges, margin calls, and exchange withdrawals to self-custody.

The FTX backlog was resolved within a week, whilst Inscriptions have lifted the baseline fee pressure from 1 to around 4 sat/vByte throughout February.

Ordinal Theory and the Rise of Inscriptions
Live Advanced Chart

Indeed, the proportion of the total revenue sourced from fees for miners is hovering between 2% and 3%, a far cry from the 8%+ seen prior to the May 2021 sell-off.

Ordinal Theory and the Rise of Inscriptions
Live Advanced Chart

We can also analyze the fee rate paid per byte stored, as a measure of fee-per-byte storage efficiency. The fee paid for 88% of all Inscriptions was less than 20 sats/Byte of data stored. Image inscriptions are on average opting to pay relatively low fee rates, whilst Text inscriptions display a larger degree of variation and are willing to generally pay higher fee rate.

The key observation here is that creators of Inscriptions appear to be sensitive to the absolute value of the fee paid, with the larger data footprint of image files requiring a larger BTC denominated fee even at lower fee rates.

This gives weight to the argument that Inscription volumes are likely to be somewhat self-regulating in response to the economics of a fee market. Unlike classic NFTs where a single transaction can mint the entire set, each Inscription must be created individually, making them relatively expensive to mint.

Ordinal Theory and the Rise of Inscriptions

Finally, we can compare the mean transaction fee rate paid by Inscription transactions. An uptrend in the mean inscription fee 🔴 can be seen throughout February, peaking at a rate of 15 sats/vByte. Currently, the average transaction (monetary and Inscriptions) are 2.17x more expensive than their Inscription-only counter part.

Ordinal Theory and the Rise of Inscriptions

Similarly, the median fee rate for Inscriptions is also climbing, reaching 8 sats/vbyte. However, unlike the average fee paid, the median Inscription fee rate is much closer to the median all-type transaction. In late January, the median Inscription actually payed a higher fee rate than monetary transactions, suggesting that the earliest Inscription adopters rushed in, likely seeking to catch a low sub-10k Inscription number.

Ordinal Theory and the Rise of Inscriptions

Thus far, Inscriptions have effectively acted to lift the lowest priority ‘fee floor’ from 1sat/vbyte to between 4 and 8sat/vbyte. However, there is as yet limited evidence of ‘crowding out’ effect with respect to monetary transactions. Due to their larger data footprint, and thus larger absolute fee payed by Inscriptions, these transactions have imposed a slight uplift pressure on the lowest fee band, but not yet an excessive pressure on higher urgency, higher fee rate monetary transactions.

Ordinal Theory and the Rise of Inscriptions
Live Advanced Workbench

Summary and Conclusions

Ordinals and Inscriptions are a most unexpected event in Bitcoin history, but have resulted in a new, and likely longstanding demand for Bitcoin blockspace. Given the explosive emergence of NFTs on Ethereum and other chains throughout 2021-22, it is reasonable to expect that Inscriptions made on the oldest, and largest blockchain will have a degree of staying power. Image files have shown to be the dominant Inscription type so far, however text based Inscriptions are growing in popularity, in part driven by their lower size and thus lower total fee requirement.

This event has sparked a healthy debate and discussion regarding the impact on the data footprint of both transactions, blocks, and the aggregate blockchain size. As it stands, Inscriptions are currently providing a bid for, and filling blockspace that was was previously underutilized, especially when compared to the last 24-months.

Inscriptions have created congestion in the mempool, and are applying a sustained upwards pressure on fees. However, thus far, this pressure is primarily impacting competition at the lowest fee rate bands, with Inscription creators appearing to be sensitive to the absolute BTC value of the fee paid. As such, there is not yet a strong indication that Inscriptions are ‘crowding out’ monetary transactions, and rather slightly lift the lowest fee rate floor for block inclusion.

Overall, this is a fascinating trend to watch play out in on-chain data, and will be a source of great interest for the market, and us in the on-chain data space moving forwards.


Disclaimer: This report does not provide any investment advice. All data is provided for information and educational purposes only. No investment decision shall be based on the information provided here and you are solely responsible for your own investment decisions.


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Ordinal Theory and the Rise of Inscriptions