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Bitcoin (BTC) investors may be better served by a “cycle-aware” approach than by steady dollar-cost averaging (DCA), according to new research arguing that strategies effective in traditional markets can struggle in crypto’s more volatile boom-and-bust structure.
In a report, Markus Thielen of 10x Research said Bitcoin’s market mechanics differ fundamentally from those of equities and bonds. He attributed the difference to Bitcoin’s repeated movement through distinct, leverage-fueled cycles rather than a smoother long-term compounding path.
Thielen noted that since 2011, Bitcoin has gone through four clear cycle phases in which supply tightening—often linked to the halving—meets surging demand, pushing prices sharply higher. He said excessive leverage then contributes to steep drawdowns.
The report highlights that downturns have been severe, with repeated declines of more than 70% and peak-to-trough maximum drawdowns reaching roughly -80% in prior bear phases. Thielen argued this creates a structural challenge for DCA because investors may keep buying during deep downtrends, potentially accumulating exposure when risk is rising and liquidity is deteriorating.
DCA is widely viewed in traditional finance as a way to reduce timing risk and smooth volatility. However, Thielen contended that it works best in markets with a long-term upward drift and comparatively moderate drawdowns. In Bitcoin, he said the magnitude and frequency of cyclical collapses can overwhelm the benefits of gradual accumulation, turning DCA into more of a “psychological comfort” than a robust risk-management tool.
As an example, the report pointed to the 2021–2022 cycle, when investors who bought consistently still faced substantial unrealized losses as the market unwound. In Bitcoin’s downside regimes, the analysis argued that losses are difficult to contain unless exposure is actively reduced.
The alternative proposed is a “cycle response strategy,” described as a rules-based allocation method designed to scale exposure up or down as market regimes shift. Thielen said Bitcoin typically alternates between bull and bear phases over roughly 12 to 18 months, and that transitions can be identified using a combination of price action and on-chain indicators.
Within the 10x Research framework, the firm evaluated 10 signals spanning momentum, trend, and on-chain “cost basis” metrics to classify the prevailing regime. When positive signals dominated, Bitcoin’s average monthly return was estimated at about 25%. In negative regimes, the report said losses widened materially, with the spread between the two environments exceeding 30 percentage points.
Backtesting results cited in the report suggested improvements in risk-adjusted performance. The cycle-based approach produced a Sharpe ratio of 1.22, compared with 0.82 for a passive buy-and-hold allocation. Maximum drawdown was also reported to improve, shrinking from around -80% to roughly -44%, which Thielen characterized as significant for portfolio-level risk control.
Rather than arguing that Bitcoin should be excluded from portfolios, the report’s core recommendation is to treat BTC as an asset requiring “dynamic sizing” rather than a fixed-weight allocation. Thielen suggested investors set a maximum portfolio cap—such as 5%—and then adjust exposure between 0% and that cap based on the data-driven regime assessment. The emphasis, he said, is on systematic rules rather than discretionary market calls.
The discussion extended beyond Bitcoin. Eric Tomasepski of Verde Capital Management argued that growth in the blockchain ecosystem does not automatically translate into higher token prices, because value can migrate to other layers—such as applications, liquidity infrastructure, or stablecoin issuers—rather than accruing to the base asset investors expect.
On Ethereum (ETH), Tomasepski said the market may increasingly price the asset around “holding and trust” rather than pure network usage, particularly if institutions and AI-driven systems begin treating ETH as collateral in scalable financial workflows. Under that scenario, the report suggests Ethereum could be reframed as a form of digital reserve asset within crypto-native finance.
Analysts also pointed to the convergence of AI and blockchain as a potential source of new investable themes. They argued that autonomous software agents paired with trust-minimized payment rails could accelerate the emergence of “programmable capital,” where economic activity and settlement become increasingly automated.
Overall, the analysis frames a shift in how market participants may need to think about crypto exposure. It said Bitcoin’s long-term upside thesis may remain intact, but the path it takes has repeatedly been shaped by cycles. In that environment, the report argued that understanding regime changes and responding with disciplined position management could be decisive for improving risk-adjusted outcomes.
Bitcoin (BTC) investors who use steady dollar-cost averaging (DCA) may be underperforming versus strategies that adjust exposure to the market’s cycle, according to new research arguing that Bitcoin’s behavior differs from traditional long-duration assets.
In a report cited by Markus Thielen of 10x Research, Bitcoin’s market…
