On-Chain Data in 2026: Which Classic Metrics Still Work and Which Have Failed
On-chain analysis in 2026 faces not just whether a metric is 'accurate,' but the systematic failure of underlying assumptions relied upon for over a decade.Metrics that still work need recalibration with new market structures; those that have failed are due to their prerequisites—retail dominance, extreme volatility, pure on-chain activity—being completely rewritten by ETFs, institutionalization, and Layer 2 expansion.
A leading global cryptocurrency platform,suitable for both beginners and experienced traders.
New user benefit: 20% off trading fees upon registration!！
1. Metrics That Still Work, But Need Reinterpretation of Boundaries
The core logic of these metrics remains valid, but trigger thresholds and interpretation must be adjusted to the current context.
MVRV Z-Score: Ceiling Structurally Lowered
MVRV Z-Score compares Bitcoin's market cap to its 'realized value' (total cost based on the price at last movement) to gauge market valuation. Traditionally, a Z-Score above 7 signaled an overheated sell signal. But when prices peaked in 2025, the Z-Score reached a maximum of only2.69. The reason is that institutions buying high and holding long systematically raised realized value closer to market cap, compressing the volatility range; frequent moves by short-term traders refreshed the 'cost basis' of some supply near current prices.
Conclusion: The metric's logic still works, but the fixed threshold of '7 = overheated' is no longer applicable. Focus on relative position changes within the 0-3 range, rather than chasing extreme values.
Long-Term Holder Behavior Metrics (NUPL, CVDD) Still Predictive
Academic research confirms that metrics based on holder behavior, such as Net Unrealized Profit/Loss (NUPL) and Cumulative Value Destroyed Days (CVDD), have predictive value for Bitcoin cycles. Across three cycles from 2013 to 2025, strategies based on these metrics improved the Sharpe ratio from0.45(buy-and-hold) to1.28. NUPL quantifies whether holders are overall in profit or loss—high profit signals greed and potential selling pressure, low loss signals fear and bottom signals.
Conclusion: Holder behavior data remains a reliable 'sentiment thermometer' and does not need to be dismissed due to the emergence of ETFs.
Stablecoin Market Cap and Exchange Balances: Observing Liquidity Flow
Stablecoin market cap is a key indicator for capital inflows. Since October 2023, approximately$180 billionhas flowed into the crypto market in the form of stablecoins. Growth in stablecoin supply means new capital entering; a decline means capital outflows. The traditional interpretation of exchange balances—inflows equal selling pressure—has weakened. Exchanges now simultaneously serve custody, collateral management, and portfolio rebalancing functions; transferring funds to an exchange is not necessarily for immediate selling.
Conclusion: Stablecoin data remains valid, but interpretation of exchange inflows requires more caution, needing to be combined with other dimensions.
2. Failed Metrics: Underlying Assumptions Broken
Four-Year Cycle Theory: Halving Supply Shock Becomes Negligible
This may be the most striking failure. After the April 2024 halving, the market did not experience the explosive rally seen in previous cycles. The reason is clear: Bitcoin spot ETFs created sustained demand, breaking the narrative solely driven by halvings. The 2024 halving reduced daily new supply from about 900 BTC to 450 BTC, lowering annualized inflation from1.7% to about 0.85%. Relative to a market cap in the trillions, the reduction of 164,000 BTC per year accounts for only0.78%of total supply—its impact is now minimal. Meanwhile, Bitcoin's annualized volatility has dropped from historically over100%to about50%, exhibiting more 'slow bull' rather than 'explosive' characteristics.
Pi Cycle Top and Rainbow Chart: Volatility Gone, Extreme Signals No Longer Appear
The Pi Cycle Top remained silent during the 2025 bull cycle, with the two moving averages never producing a valid crossover. The reason is that the indicator relies on dramatic price swings to make the short-term moving average deviate significantly from the long-term one. With the structural decline in volatility, the prerequisite no longer exists. The Rainbow Chart also failed: from 2024 to 2025, BTC prices only stayed in the 'HODL!' neutral zone, never approaching the deep red zone representing extreme bubbles. The logarithmic growth assumption is breaking down; Bitcoin is transitioning from the 'steep part of the adoption S-curve' to the 'slow growth segment of a mature asset.'
Altcoin Season Index: Capital No Longer 'Rotates' into Altcoins
Throughout 2025, the altcoin season index remained below30for long periods, with BTC Dominance reaching a high of64.34%and never falling below50%. The fundamental reason: ETF capital flows directly into BTC and structurally does not 'rotate' into altcoins. ETF holders are buying financial products, not tickets to the crypto ecosystem. Frenzy in AI and precious metals markets also massively siphoned liquidity from the crypto market.
Fear and Greed Index: Retail Sentiment No Longer the Dominant Price Driver
In April 2025, the index fell below10, lower than during the FTX collapse, but BTC did not see the expected sharp rebound afterward. The reason is that the transmission mechanism between sentiment and price has been disrupted by institutional capital—when retail is fearful, institutions may be buying the dip; when retail is greedy, institutions may be hedging with derivatives.
NVT Ratio: On-Chain Volume No Longer Represents Real Economic Activity
In 2025, this metric showed contradictory signals: in April, when prices were not rising, the NVT Golden Cross reached as high as58; in October, when prices hit $120,000, it showed undervaluation. The reason is that a large amount of activity has migrated to Layer 2 and centralized platforms, meaning on-chain transaction volume no longer represents the scale of real economic activity on the Bitcoin network.
A leading global cryptocurrency platform,suitable for both beginners and experienced traders.
New user benefit: 20% off trading fees upon registration!！
3. Bottom Line: What Failed Are Not the Metrics, but the Underlying Assumptions
Looking at these failures together, they point to the same set of structural changes:
Institutionalization Changed Market Microstructure: The entry of ETFs, CME derivatives, and pension funds allows capital to enter the market through brokerage accounts without going on-chain, decoupling price from on-chain activity. This creates a gap in all metrics based on direct on-chain interaction when explaining market prices.
Structural Decline in Volatility: Multiple classic metrics require extreme price volatility to trigger signals. When volatility drops from 100% to 50%, the conditions for generating signals are systematically erased.
Layer 2 Diversion: Ethereum mainnet transaction volumes may appear to decline, but a large amount of activity has moved to L2s like Arbitrum and Base. Focusing only on L1 data underestimates the overall activity of the Ethereum ecosystem.
—Using on-chain metrics in 2026 requires a shift in mindset:First ask which layer the data comes from, then ask whether the capital comes from institutional channels, and only then look at the reading itself.
