Retail vs. institutional on-chain behavior explains how on-chain metrics track accumulation, distribution, and Bitcoin market cycles.
Every Bitcoin price move has two sides: someone is selling, and someone else is buying. The blockchain records both. However, price charts cannot tell the difference between a $500 retail purchase and a $50 million institutional accumulation. As a result, they miss one of the most important parts of market behavior. Not all buyers and sellers are the same. Different participants have different time horizons, access to information, cost bases, and reactions to the same price movements.
Learning to read those differences in on-chain data is one of the most valuable skills in crypto analysis. Yet it is also one of the most misunderstood. Most explanations of on-chain analysis focus on what individual metrics measure. They rarely explain how different participant groups behave or why their behavior diverges at the moments that matter most.
This article explains how retail and institutional participants are identified on-chain, what their behavior looks like in the data, and how those patterns help identify where the market is in its cycle. It also covers what changed after spot Bitcoin ETFs introduced a new wave of institutional participation. Finally, it explains the metrics that track these differences most effectively, including MVRV by cohort, SOPR by holder age, exchange flow patterns, and Glassnode’s Accumulation Trend Score.
This article complements our bull market psychology research and bear market psychology research. Those articles explain the behavioral patterns behind market cycles. This one focuses on the on-chain data and analytical tools that support that analysis in real time.
How On-Chain Analysis Defines Retail vs. Institutional On-Chain Behavior
Bitcoin’s blockchain records every transaction, but it does not identify the people behind them. Addresses are pseudonymous. One entity can control thousands of addresses, while multiple people can use the same address, such as an exchange deposit address. Instead of relying on identity, on-chain analysis uses clustering, behavioral inference, and cohort analysis to group addresses by observable characteristics and classify participants based on how they behave.
Analytics firms mainly classify participants using three factors: wallet size, coin age, and behavioral patterns. Wallet size measures how much Bitcoin an address controls. Coin age measures how long the Bitcoin has remained untouched. Behavioral patterns track when addresses send or receive Bitcoin and how they interact with exchanges.
The Wallet Size Taxonomy
Glassnode and other analytics platforms group Bitcoin addresses into size-based cohorts, using wallet balances as a proxy for participant type.
- Shrimps: Less than 1 BTC
- Crabs: 1 to 10 BTC
- Fish: 10 to 100 BTC
- Sharks: 100 to 1,000 BTC
- Whales: 1,000 to 10,000 BTC
- Humpbacks: More than 10,000 BTC
These labels are not perfect. For example, an exchange cold wallet can hold millions of BTC without representing a single whale. Even so, the behavioral patterns within each cohort are consistent enough to make the classification useful.
The main limitation of this taxonomy is that it groups large individual holders, institutional custodians, and exchange wallets together. A wallet holding 50,000 BTC could belong to a sovereign wealth fund, an ETF custodian, or a crypto exchange. To reduce this problem, analytics firms label known exchange addresses and exclude them from whale analysis. They also study transaction flows to separate accumulation from routine treasury or custody activity.
The Time Dimension: Long-Term vs. Short-Term Holders
The second major classification is coin age. Glassnode defines long-term holders (LTHs) as addresses that have held Bitcoin for more than 155 days. Short-term holders (STHs) have held Bitcoin for fewer than 155 days.
Glassnode selected the 155-day threshold after analyzing multiple Bitcoin market cycles. Beyond this point, holders become much less sensitive to short-term price volatility. In other words, investors who have held Bitcoin for more than five months are significantly less likely to sell during corrections than those who bought more recently.
The long-term versus short-term holder distinction is one of the most useful frameworks in on-chain analysis because it captures a bigger behavioral difference than wallet size. A large wallet that bought Bitcoin two months ago is still more likely to react to volatility and sell during corrections. By contrast, a small wallet that has held Bitcoin for two years is more likely to hold through market declines and sell only after substantial price appreciation. Coin age tells you more about future behavior than wallet size.
Retail vs. Institutional On-Chain Behavior: Behavioral Patterns
How Retail Behaves
Retail participants include the shrimp and crab cohorts (under 10 BTC) and the short-term holder population. Their behavior follows a consistent pattern that closely tracks price movements. The most important pattern is pro-cyclicality. Retail investors buy as prices rise and sell as prices fall. This response feels natural, but it leads to weaker long-term returns. It also aligns with the psychological patterns discussed in our bull market psychology research.
Past market cycles show the same pattern. Rising prices attract more retail participants. Transaction activity increases, active address counts rise, and new wallets are created. During the 2021 cycle, Bitcoin’s active address count peaked alongside Bitcoin’s November 2021 price high. Retail participation also peaked at the market top.
The on-chain footprint of retail optimism is easy to identify. Small wallets generate more transactions. New address creation accelerates as new participants enter the market. Short-term holders also move more Bitcoin to exchanges as they prepare to sell.
Bear markets produce the same pro-cyclical behavior in the opposite direction. As prices fall, retail investors capitulate and lock in losses near market bottoms. The Short-Term Holder Spent Output Profit Ratio (STH-SOPR) tracks this behavior directly. When STH-SOPR falls below 1.0, short-term holders are selling at a loss. As losses spread across the cohort, capitulation accelerates, and the market moves closer to a bottom.
The January 2026 correction followed the same pattern. According to CoinDesk’s analysis of Glassnode data, holders with less than 10 BTC sold into the decline. At the same time, wallets holding more than 10,000 BTC accumulated. The pattern has repeated throughout Bitcoin’s history. Small holders sell during periods of stress. The largest holders accumulate.
How Institutional Participants Behave
Institutional participants include the whale and humpback cohorts, along with ETF custody wallets. Their behavior differs from retail investors in three key areas: investment horizon, accumulation strategy, and exchange activity.
The investment horizon is the biggest difference. Institutions invest over quarters or years instead of days or weeks. A pension fund that allocated to Bitcoin ETFs in 2024 does not change its investment thesis because Bitcoin corrected 20% in a month. A corporate treasury that holds Bitcoin as a reserve asset follows a similar approach. Strategy is one example, as documented in our Bitcoin history research. These organizations make buying and selling decisions based on balance sheet management rather than short-term price momentum.
Accumulation strategy is the second key difference. Retail investors buy small amounts through public exchanges. Institutions use over-the-counter (OTC) desks for large purchases. They negotiate block trades directly with liquidity providers instead of placing large orders on public exchanges, where those trades could push prices higher. As a result, institutional accumulation appears on-chain as large, infrequent transfers from OTC wallets to custody addresses rather than frequent purchases on exchanges.
A Real-World Example
This pattern became visible before the approval of spot Bitcoin ETFs. During the fourth quarter of 2023, more than 95,000 BTC moved from Binance and Kraken to Coinbase Prime custody wallets, according to blockchain data. Those transfers came before the January 2024 ETF approvals and matched the accumulation patterns associated with institutional positioning. The movement appeared in the data months before the ETF approvals changed Bitcoin’s market structure.
Exchange activity is the third difference. Retail investors keep a major share of their Bitcoin on exchanges because they trade actively or do not manage self-custody. Institutional investors, especially those using professional custody services, store Bitcoin in dedicated custody wallets instead of public exchange wallets. Coinbase Prime and Fidelity Digital Assets maintain separate custody infrastructure for institutional clients. Large transfers from exchange addresses into these custody wallets provide strong evidence of institutional accumulation.
42%
Share of Bitcoin’s circulating supply held by whale addresses (1,000+ BTC) (Glassnode, 2026)
Exchange reserves have fallen from 12.8% of Bitcoin’s circulating supply in 2020 to about 8.3% in early 2026. Over the same period, more Bitcoin has moved into self-custody and institutional custody wallets. These trends point to sustained accumulation by larger holders over multiple years.
The ETF Era: When Institutional Behavior Became Harder to Read
The approval of spot Bitcoin ETFs in January 2024 brought a new class of institutional participant into the market. Its on-chain footprint differs from anything that came before. As a result, traditional on-chain analysis has become more complex.
Before ETFs, institutional Bitcoin accumulation was visible on the blockchain. When Strategy bought Bitcoin, the coins moved from an OTC desk or exchange to wallet addresses that blockchain forensics, public disclosures, and wallet behavior could identify as Strategy’s. Analysts could trace the accumulation and use it to understand institutional positioning.
ETF accumulation works differently. When a pension fund buys $10 million of BlackRock’s IBIT shares, that transaction does not appear on Bitcoin’s blockchain. It takes place on NASDAQ as a securities trade. The underlying Bitcoin, which BlackRock buys through Coinbase Prime when new IBIT shares are created, does appear on-chain as Coinbase custody wallet activity. However, the blockchain alone cannot link the pension fund’s purchase to that custody movement. Analysts also need the ETF’s daily creation and redemption reports.
Why Traditional Metrics Changed
New capital now flows through custodial wrappers, spot ETFs, institutional accounts, and corporate treasuries instead of direct Bitcoin transactions. Price discovery also takes place more frequently in ETF and derivatives markets. Meanwhile, the blockchain records a smaller share of overall market activity.
Earlier market cycles followed a different pattern. Rising prices attracted more retail participants. Active addresses increased. Transaction volume and on-chain velocity also increased. That relationship has weakened.
This change is one of the biggest analytical challenges of the 2024-2026 cycle. In earlier cycles, higher Bitcoin prices came with higher active address counts, transaction volume, and on-chain velocity because new participants used the blockchain directly. During the 2024-2025 cycle, Bitcoin reached new all-time highs even though many of those metrics stayed subdued. Most of the new demand flowed through ETFs and institutional custody instead of direct on-chain transactions.
As documented in our Bitcoin ETF research, spot Bitcoin ETFs attracted $58.72 billion in cumulative inflows. That demand exceeded anything retail investors produced in previous cycles. Yet traditional on-chain metrics captured only part of it because most of the activity settled in custody wallets instead of the distributed wallet activity that characterized earlier Bitcoin bull markets.
What the ETF Era Changed About On-chain Analysis
Before spot Bitcoin ETFs, on-chain metrics such as active addresses, transaction volume, and exchange flows were reliable measures of market participation. Rising activity pointed to stronger retail participation. Falling activity pointed to weaker participation. This relationship remained consistent across the 2013, 2017, and 2021 market cycles.
After the ETF approval, those measures became less reliable for Bitcoin. Short-term holder supply grew from about 5.86 million BTC in early 2024 to 7.83 million BTC by November 2025, an increase of 34%. Spot ETFs and digital asset treasuries absorbed nearly 57% of that growth. The increase reflected genuine new demand, but most of it came from institutions. As a result, it appeared in custody wallet balances instead of the distributed on-chain activity that traditional analysis tracks.
on-chain data alone no longer provides a complete picture of the 2024-2026 Bitcoin cycle. Analysts also need ETF creation and redemption data, Coinbase Prime custody flows, and institutional filings such as 13F reports. Combined, these data sources provide a more complete view of Bitcoin’s market structure.
The Metrics That Capture the Divergence Most Reliably
Metric 1
MVRV by Cohort: Who Is Profitable and by How Much
Available on Glassnode | Most useful at cycle extremes
We covered MVRV (Market Value to Realized Value) in our bull market psychology research as a whole-market indicator. It becomes even more useful when applied to individual cohorts. Instead of measuring profitability across the entire market, it shows which participant groups are in profit, how much they have gained, and whether they are holding or spending their Bitcoin.
At cycle peaks, the Long-Term Holder MVRV (LTH-MVRV) ratio reaches high levels. Long-term holders are sitting on large unrealized gains. When LTH-MVRV rises above 3.5 and Short-Term Holder MVRV (STH-MVRV) stays near break even or below it, experienced holders hold substantial paper profits while newer buyers have little or no profit. This combination creates the conditions for distribution. Experienced holders sell into strength, and newer buyers absorb that supply because they expect prices to keep rising.
The MVRV Z-Score reached about 3.5 during the post-halving rally. That was well below the readings of 12, 11, and 7 recorded at the peaks of the 2013, 2017, and 2021 cycles. By May 14, 2026, the Z-Score had fallen to about 1.
The lower MVRV reading is one of the strongest on-chain characteristics of the 2024-2026 cycle. Institutional investors with longer investment horizons absorbed a large share of Bitcoin’s supply. As a result, aggregate unrealized profit stayed lower than it would have if retail investors had driven the rally from much lower cost bases. Institutions that bought Bitcoin between $40,000 and $60,000 have much smaller unrealized gains at $75,000 than retail investors who entered between $10,000 and $20,000. That difference helps explain why MVRV stayed below the levels reached in previous market cycles.
Metric 2
The Accumulation Trend Score: Real-Time Wallet Behavior
Glassnode’s cohort-level accumulation tracker | Most useful during corrections
Glassnode’s Accumulation Trend Score (ATS) measures how different wallet cohorts behave based on their Bitcoin balances and the amount of Bitcoin they acquired over the previous 15 days. A score of 1 indicates strong accumulation. A score of 0 indicates strong distribution. Glassnode calculates a score for each wallet-size cohort, enabling you to see which participants are buying and which are selling at any given time.
The January 2026 correction produced one of the strongest ATS divergences in recent years. Wallets holding 10,000 BTC or more were the only cohort to show net accumulation, maintaining a neutral-to-slightly positive trend. The number of entities holding at least 1,000 BTC increased from 1,207 in October to 1,303, showing that large investors bought into the correction. At the same time, smaller cohorts, especially wallets holding less than 10 BTC, sold into the decline. The ATS captured the divergence clearly. Whales accumulated as retail investors distributed their holdings at prices that looked heavily discounted six weeks later.
The Accumulation Trend Score also has limits. It measures activity over the previous 15 days, so it responds quickly to changes in market behavior. As a result, it can produce misleading readings when viewed on its own. For example, a large wallet moving Bitcoin between its own addresses can appear as accumulation. Likewise, a large wallet sending Bitcoin to an exchange before a sale can appear as distribution. Combining ATS with exchange flow data and the direction of long-term holder (LTH) supply provides a more complete view than either metric on its own.
Metric 3
Exchange Flows by Cohort: Where Coins Are Going and Who Is Moving Them
Available on Glassnode and CryptoQuant | Most useful alongside price action
Exchange inflows and outflows show the direction of investor intent. Coins moving to exchanges suggest preparation to sell. Coins leaving exchanges suggest accumulation or a move to self-custody. When these flows are grouped by wallet size, they also show which participant groups are driving the activity.
Large outflows from institutional custody addresses, including Coinbase Prime, Fidelity Digital Assets, and similar custodians, do not primarily indicate selling. They can result from portfolio re-balancing, transfers to self-custody, or OTC settlement. By contrast, large inflows to retail-facing exchange wallets are more likely to indicate distribution. Both the direction of the flow and the type of wallet matter.
Exchange reserves have fallen from 12.8% of Bitcoin’s circulating supply in 2020 to about 8.3% in early 2026. The decline points to a long-term accumulation trend among larger holders. Over that period, more Bitcoin moved from exchange wallets into self-custody and institutional custody. This is one of the strongest multi-year on-chain patterns supporting long-term accumulation alongside Bitcoin’s price appreciation.
When Bitcoin leaves exchanges and moves into wallets that are unlikely to sell in the near term, the liquid supply available to the market falls. A smaller liquid supply can increase upward price pressure as demand grows. This is one of the main ways long-term accumulation supports long-term price appreciation.
Metric 4
SOPR by Holder Age: Profit and Loss Behavior by Cohort
Available on Glassnode | Most useful at cycle inflection points
The Spent Output Profit Ratio (SOPR) measures whether Bitcoin is being spent at a profit or a loss compared with its previous on-chain transaction price. Breaking SOPR down by holder age into Long-Term Holder SOPR (LTH-SOPR) and Short-Term Holder SOPR (STH-SOPR) creates one of the most useful indicators for tracking Bitcoin market cycles.
High LTH-SOPR readings show that long-term holders are selling Bitcoin at large multiples of their cost basis. This is the classic distribution pattern, where experienced holders sell to buyers entering near the market peak. In previous cycles, LTH-SOPR reached readings of 5, 10, or higher as long-term holders realized substantial profits. During the 2024-2025 cycle, LTH-SOPR rose but stayed below the levels recorded in 2017 and 2021. That result matches the lower MVRV readings and the stronger institutional participation seen during this cycle.
When STH-SOPR falls below 1.0 and stays there, short-term holders are selling at a loss. The sustained readings below 1.0 during the fourth quarter of 2025 and the first quarter of 2026 showed that recent buyers, most of them retail participants who entered during the 2025 bull market peak, were exiting at a loss.
This combination has appeared throughout Bitcoin’s history. Experienced holders distribute into market strength, and newer buyers capitulate during market weakness. As documented in our bear market psychology research, capitulation events occur when investors who bought at higher prices finally sell. Those events have historically appeared near bear market bottoms.
Metric 5
HODL Waves: The Long-Term View of Bitcoin Ownership
Available on Glassnode and Look Into Bitcoin | Best for cycle positioning
HODL Waves show the percentage of Bitcoin’s supply across different age bands. These include coins that last moved within the past week, month, three months, six months, one year, two years, and longer. The chart is one of the most intuitive tools for understanding where the market sits in its cycle. A large share of young coins points to an active market with strong participation from recent buyers. A large share of older coins points to an accumulation phase led by long-term holders.
In the months before each Bitcoin bull market peak, HODL Waves follow a familiar pattern. Older coins begin to move, increasing the share of younger coins in circulation. This happens as long-term holders sell into rising prices. The gradual change in coin age is one of the most reliable long-term cycle indicators because it captures the collective decision of long-term holders to take profits over time instead of all at once.
The 2024-2026 cycle has followed the same pattern, but at a slower pace than previous cycles. This matches the other on-chain metrics showing less distribution than earlier market peaks. SOPR and HODL Waves point to selling by older long-term holders. At the same time, whale accumulation and institutional demand continue to absorb supply. This combination has created a different market structure from previous cycles. Short-term holders continue to sell at a loss, while larger investors keep accumulating. That balance makes the 2024-2026 HODL Wave data more difficult to interpret than in earlier Bitcoin cycles.
What the 2024–2026 Cycle Shows About Retail vs Institutional On-Chain Behavior
The 2024-2026 cycle has produced a set of on-chain observations that distinguish it from previous Bitcoin cycles.
Institutional holdings now account for 24% of Bitcoin’s total supply, while retail participation has fallen sharply, with 66% of retail investors leaving the market. Institutions now control nearly one-quarter of Bitcoin’s fixed supply. That level of ownership would have been difficult to imagine in 2012, when Bitcoin’s market was almost entirely retail, or in 2017, when retail participation dominated. As institutions accumulate instead of distribute, the supply available to sellers becomes more limited than it was in earlier cycles.
Retail activity stayed subdued as institutional accumulation reached record levels. MVRV Z-Score, exchange balances, and spot ETF holdings show a market that differs from a typical late-cycle phase. This combination of limited retail participation and strong institutional accumulation sets the 2024-2026 cycle apart from earlier cycles. In previous bull markets, institutional accumulation occurred alongside retail euphoria, not in its absence.
Long-term holder supply tells the same story from another perspective. Long-term holders returned to net accumulation in late December 2025, adding 3,784 BTC. During the same period, whales added 56,227 BTC to their balances after December 17, 2025. Large holders accumulated as retail traders took profits. This pattern has historically supported a bullish outlook. It is the opposite of what appears near cycle peaks, when retail investors buy into market strength and large holders distribute. Historical data suggests this opposite pattern has provided a better entry point.
24%
Bitcoin’s circulating supply held by institutions in 2026
8.3%
Bitcoin’s circulating supply held on exchanges in early 2026
Applying the Framework
The metrics above provide the most value when used as a system rather than on their own. No single indicator can reliably identify cycle tops or bottoms. The value comes from comparing multiple independent data sets and determining whether they support the same conclusion or point to different interpretations.
I begin with the long-term indicators: long-term holder (LTH) supply, exchange reserves, and the MVRV Z-Score. These metrics show whether the market is in an accumulation or distribution phase. Growing LTH supply, falling exchange reserves, and an MVRV Z-Score below 2 have historically appeared before the strongest periods of price appreciation. Declining LTH supply, rising exchange reserves, and an MVRV Z-Score above 3.5 have historically appeared before major market corrections.
The Short-Term View
Next, I review the short-term indicators. These include the Accumulation Trend Score (ATS) by cohort, Short-Term Holder SOPR (STH-SOPR), and the source of exchange inflows. They show what different participant groups are doing at that point in the cycle. When whales are in strong accumulation, with ATS close to 1 for the largest wallet cohorts, and retail participants are selling, with STH-SOPR below 0.9 and high exchange inflows from small wallets, the gap between the two groups reaches its widest point. Historically, these periods have provided some of the best entry points.
The ETF era also requires additional data. Daily ETF creation and redemption reports, Coinbase Prime custody flows, and institutional holdings reported in 13F filings are now part of a complete Bitcoin market analysis. Traditional on-chain metrics capture only part of the demand. A growing share comes from institutional investors whose activity does not appear directly on the public blockchain. Ignoring that activity leaves an incomplete picture of the market.
None of these metrics provide certainty. on-chain data shows what different participant groups are doing with their capital. It does not explain why they are acting or predict what they will do next. However, when multiple independent indicators point in the same direction, they narrow the range of likely outcomes. That is the value of on-chain analysis. It is not about prediction. It is about making better probability-based decisions.
What I’m Watching
As of mid-2026, retail vs. institutional on-chain behavior shows one of the most interesting divergences of this cycle. Wallets holding 10,000 BTC or more are the only cohort in net accumulation. Every smaller cohort is distributing. ETF inflows have stabilized after the $6.38 billion outflow streak documented in our Bitcoin ETF research. Exchange reserves are near multi-year lows. Long-term holder (LTH) supply is growing.
Retail selling, whale accumulation, declining exchange reserves, and rising long-term holder conviction have historically appeared before market recoveries rather than deeper declines. The 2024-2026 cycle’s lower MVRV readings also suggest the market has not reached the conditions that preceded the major corrections of 2017 and 2021. At the same time, higher interest rates, geopolitical uncertainty, and ETF-driven institutional selling during risk-off periods still weigh on demand.
The Metric I’m Following
Over the next six months, I will watch the LTH-MVRV trend most closely. If LTH-MVRV rises from its current level near 1 toward 2.5-3.0 while exchange reserves keep falling, the data would support the view that the current accumulation phase is gaining strength. That combination would be more consistent with the middle of a market cycle than a cycle peak. If MVRV stays low and exchange reserves stop falling, accumulation alone may not offset weaker demand.
The March 2024 correction provides a useful example. Retail investors sold into a 15% decline, while whales accumulated 140,000 BTC. Six weeks later, Bitcoin reached a new all-time high. The same outcome is never guaranteed. However, retail vs. institutional on-chain behavior shows which participant groups are buying, selling, accumulating, or distributing. That information provides valuable context for judging whether the investors with the strongest long-term record are acting with conviction. Right now, they are.
Key Takeaways
Retail vs. institutional on-chain behavior follows consistent patterns. Retail investors buy into strength and sell into weakness. Institutional participants accumulate during corrections and distribute during periods of market optimism. The gap between these behaviors provides valuable context for understanding Bitcoin market cycles.
Wallet size and coin age are the two main ways to classify participant behavior on-chain. Wallet size ranges from shrimps to humpbacks. Coin age separates short-term holders (less than 155 days) from long-term holders (more than 155 days). Coin age tells you more about future behavior than wallet size. A large wallet that bought Bitcoin two months ago behaves differently from a small wallet that has held Bitcoin for two years.
Spot Bitcoin ETFs changed how institutional demand appears on-chain. Since January 2024, a growing share of institutional demand has flowed through ETFs and custody wallets instead of direct blockchain transactions. As a result, traditional on-chain metrics such as active addresses and transaction volume no longer capture the full picture. ETF flow data and institutional custody balances are now important parts of Bitcoin on-chain analysis.
Reading the Data
Five metrics provide the strongest view of retail vs. institutional on-chain behavior. MVRV by cohort shows who is in profit and by how much. The Accumulation Trend Score (ATS) identifies who is buying and selling. Exchange flows by cohort show where Bitcoin is moving and which participants are moving it. SOPR by holder age separates profit and loss behavior across different holder groups. HODL Waves show how Bitcoin supply is distributed across different coin age bands.
The 2024-2026 cycle still shows a clear divergence between retail and institutional participants. As of mid-2026, wallets holding more than 10,000 BTC are the only cohort in net accumulation. Smaller cohorts are distributing. Exchange reserves are near multi-year lows, and long-term holder (LTH) supply is growing. This combination has historically appeared before market recoveries rather than deeper declines. At the same time, higher interest rates, geopolitical uncertainty, and ETF-driven institutional selling remain important factors.
on-chain analysis does not predict the future. It narrows the range of likely outcomes by combining independent data sets into a broader view of market behavior. Used carefully, it supports better probability-based decisions than price charts alone.
Sources and Further Reading
- On-Chain Data Shows How Bitcoin Changed in 2026 — BeInCrypto
- Long-Term Bitcoin Holders: Accumulating or Distributing? — Ainvest
- Bitcoin’s Institutional Accumulation Amid Retail Distribution—Ainvest
- Bitcoin’s Structural Resilience in 2026 — Ainvest
- Retail Traders Run for the Exit While Mega-Whales Quietly Buy the Dip — CoinDesk
- Bitcoin Whale Accumulation Patterns: Track Smart Money in 2026 — LedgerMind
- Bitcoin’s On-Chain Velocity Signals a Structural Shift in Retail Demand — CryptoNews
- On-Chain Metrics Bitcoin: The Complete Data-Driven Guide 2026 — LedgerMind
- Glassnode — On-Chain Analytics (MVRV, SOPR, ATS, HODL Waves, Exchange Flows)
- CryptoQuant — On-Chain Data and Exchange Flow Analytics
- Look Into Bitcoin — HODL Waves and Market Cycle Indicators
- Nansen — Wallet Intelligence and Smart Money Tracking