Every Bitcoin bear market brings the same question to the forefront—where is the bottom?
Cycle theorists pore over historical charts, on-chain analysts track the realized value curve, and institutional investors monitor daily ETF inflows and outflows. These three frameworks each point to different conclusions, yet all diverge at the 2026 time marker. This isn’t a failure of prediction, but rather a new challenge in an era of information abundance: when countless indicators flash simultaneously, how do you distill actionable logic from the noise?
Let’s break down the three most prominent bottom analysis frameworks currently shaping the market. We’ll examine their internal logic, data dependencies, and limitations. The three frameworks are: the four-year cycle regression model championed by Benjamin Cowen, the on-chain valuation model based on the MVRV metric, and the institutional ETF flow reversal observation system.
On June 8, Bitcoin’s MVRV Z-Score dropped to 0.24, nearing the upper boundary of the historical green accumulation zone. That same week, US spot Bitcoin ETFs saw their largest weekly net outflow since launching in January 2024—totaling $3.4 billion. Meanwhile, Benjamin Cowen’s latest cycle analysis marks October 2026 as the most probable window for the market bottom.
Between hot and cold signals, these three frameworks offer neither unified nor contradictory guidance. Only by understanding the underlying data logic of each can investors develop their own benchmarks amid the intersection and divergence of these models.
Cowen’s Four-Year Cycle Model: Why Point to October 2026?
Benjamin Cowen publicly warned of top risks in Q4 2025. By 2026, his focus shifted to identifying the bottom’s time window.
Cowen’s analysis doesn’t rely on macro narratives or media sentiment. His core argument is rooted in Bitcoin’s four-year cycle data behavior. He notes that Bitcoin reached its peak in this cycle on October 6, 2025, while the previous two full cycles topped out on day 1,059 and day 1,168, respectively. The current cycle’s peak landed at day 1,162—well within the historical range.
Based on this timing fit, Cowen extrapolates the next phase. The 2018 bear market lasted from December 2017 to December 2018—12 months. The 2022 bear market stretched from November 2021 to November 2022, also 12 months. If this pattern holds, then counting 12 months from the October 2025 peak points naturally to October 2026 as the landing window.
Cowen’s framework isn’t just about timing; it sets three quantifiable trigger conditions. First, the crossover signal between on-chain profit supply and loss supply—this crossover has preceded every historical cycle bottom. Second, the MVRV Z-Score falling below zero. Third, the Bitcoin price simultaneously dropping below the realized price (about $54,000) and balance price (about $39,000).
As of June 1, none of these conditions have been triggered. Based on this, Cowen estimates a 75% probability that the market will continue to decline in 2026, with a price target zone between $39,000 and $40,000.
The integrity of Cowen’s logic lies in its avoidance of sentiment-driven judgments, treating price as a mathematical extension of the cycle. Yet, he must also contend with a key reality—the four-year halving cycle doesn’t perfectly synchronize with macro capital flows. As the market shifts from retail to institutional dominance, the timing of bull-bear transitions may no longer be dictated solely by the halving cycle. This variable warrants ongoing observation within his framework.
MVRV On-Chain Signals: The Historical Bottom Zone Is Near—Why Isn’t the Bottom Confirmed?
Unlike cycle theory, on-chain indicators answer "how low" rather than "when." Among all on-chain tools, the MVRV Z-Score (the standardized deviation between market value and realized value) is considered one of the most reliable signals for bear market bottoms.
As of June 8, Bitcoin’s MVRV Z-Score stood at 0.24, reaching the upper boundary of the historical green accumulation zone. This area appeared during four major bottom cycles: 2011–2012, 2014, 2018, and 2022. At these points, the Z-Score dropped near zero or briefly dipped below it, followed by new upward trends.
The basic logic of the MVRV Z-Score is straightforward: when market value far exceeds on-chain realized value (the average cost of all UTXOs), the market is overheated; when it approaches or falls below realized value, it’s undervalued. The current Z-Score of 0.24 suggests Bitcoin’s overall market cap is nearing the average on-chain holding cost—a classic "chip distribution flattening" signal.
Yet, a single indicator isn’t enough to confirm a cycle bottom. More granular on-chain structure requires analyzing the convergence between short-term holder MVRV and long-term holder MVRV. Currently, STH-MVRV is at 0.84, LTH-MVRV at 1.29.
Historical data shows that before bottoms in 2015, 2019, and 2022, the gap between short- and long-term holders’ MVRV typically narrowed sharply or even reversed. Only when the average purchase price of short-term chips falls below the cost of long-term holdings—and the cost of long-term chips drops via forced selling at low prices—does the price truly enter a "full market distribution reset," forming a new cost platform for the next upward cycle. Currently, LTH still maintains a 29% unrealized profit ratio, indicating long-term chips haven’t fully undergone forced repricing at lower levels.
Cowen’s framework includes an MVRV condition (Z-Score below zero), which is close but not yet triggered. Meanwhile, MVRV-Z’s own bottom confirmation depends on deeper convergence between short- and long-term cost structures. This is a classic case of "indicator is close, but conditions aren’t met."
Institutional ETF Flows: What Is the Reversal Signal, and When Might It Appear?
ETF capital flows are the newest bottom analysis tool since 2024, making their boundaries the most ambiguous.
From May to early June 2026, US spot Bitcoin ETFs experienced the most severe sustained capital withdrawals since their launch. As of June 1, Bitcoin ETFs recorded net outflows for 10 consecutive trading days, totaling over $2.97 billion. In the first week of June, weekly net outflows hit $3.4 billion—a record for single-week withdrawals since launch.
However, this data alone doesn’t constitute a "bottom confirmation" or "negation" signal. The key question is: are ETFs price setters or trend followers?
Structurally, ETFs amplify sentiment and reflect actual institutional positions. During bull phases, ETFs act as important marginal buyers. At the October 2025 market peak, ETFs set a single-day net inflow record of $1.21 billion. During declines, the same channel becomes the main exit path—the $3.4 billion weekly outflow in early June approaches the largest concentrated sell-off since launch.
Yet, on June 4, a technical reversal occurred. After 13 consecutive trading days of net outflows, spot Bitcoin ETFs saw a net inflow of about $3.05 million. In terms of capital volume, this figure isn’t enough to confirm a trend reversal. Structurally, however, it ended a window of over $1 billion in continuous redemptions since mid-May.
Therefore, if ETF net inflows resume consistently over multiple days with substantial cumulative volume, it could serve as effective evidence of structural confidence returning to the market. So far, this condition hasn’t been met. In other words, ETF flows alone aren’t sufficient to confirm a bottom—they must be cross-validated with on-chain chip exchange signals. Their role is more of a "confidence thermometer" than a "structural bottom clock."
Bull and Bear Scenarios: What Do the Framework Discrepancies Mean?
Right now, the three frameworks each deliver distinct, yet not entirely opposing, signals.
The Cowen cycle model offers a specific timeframe (October 2026) and a set of quantifiable triggers, with rigorous logic and strong historical fit. However, its underlying assumption—that the four-year cycle operates independently of macro financial policy, institutional behavior, and liquidity—faces structural changes in this cycle, including ETF capital inflows, extended institutional holdings, and compressed volatility.
The MVRV indicator shows price approaching the valuation zone historically associated with bear market bottoms, but hasn’t completed the chip structure reset needed for bottom confirmation.
ETF capital is in a technical observation phase following a peak outflow, with minor inflows not yet confirmed as a reversal, nor fully negated.
This means the market is in a "bull and bear scenarios both valid" state. Bears can cite Cowen’s time window and the untriggered three-point checklist; bulls can highlight the MVRV Z-Score entering the historical accumulation zone and the ETF’s single-day minor inflow as potential turning points. Both sides have logical grounds in the data—neither is fully disproven.
Such discrepancies aren’t a failure of indicator systems, but a natural misalignment between frameworks with different time scales and data types. The cycle model targets macro structure in months, MVRV centers on capital cost in medium-term pricing, and ETF flows reflect high-frequency institutional sentiment. At the same price level, bulls and bears each stake a claim—this is a sign of information abundance.
Conclusion
Each framework brings irreplaceable analytical logic and distinct boundaries. In practice, Cowen’s cycle model can serve as the main framework for market structure positioning—it offers a mid- to long-term benchmark based on historical time series and chip cost quantitative conditions. MVRV on-chain indicators help identify valuation zones and chip conversion rhythms, especially whether cost curves for short- and long-term holders have converged. Institutional ETF flows provide real-time feedback on macro capital dynamics, forming a high-frequency observation window for sentiment and capital structure.
The most reliable reference structure is never a single framework, but the gradual convergence of multiple signals over a longer timeframe. When Cowen’s three conditions begin to trigger, the MVRV gap between short- and long-term holders narrows significantly, and ETF capital shifts from net outflows to sustained net inflows—when these signals resonate, the market may finally enter a genuine preparation phase for structural transformation.
