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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 that argues strategies proven in traditional markets can backfire in crypto’s more violent boom-and-bust structure.

In a recent report, Markus Thielen of 10x Research said Bitcoin’s market mechanics differ fundamentally from those of equities and bonds, largely because Bitcoin has repeatedly moved through distinct, leverage-fueled cycles rather than a smoother long-term compounding path. Since 2011, Thielen noted, Bitcoin has experienced four clear cycle phases in which supply tightening—often associated with the halving—collides with surging demand, pushing prices sharply higher before excessive leverage contributes to steep drawdowns.

Historically, those downturns have been severe. The report points to repeated declines of more than 70%, with peak-to-trough maximum drawdowns reaching roughly -80% in prior bear phases. That pattern, Thielen argued, creates a structural challenge for DCA: investors continue buying through deep downtrends, potentially accumulating exposure precisely when risk is rising and liquidity is deteriorating.

DCA is widely viewed in traditional finance as an effective way to reduce timing risk and smooth volatility. But Thielen contended that the method functions 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 highlighted 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 argues, losses are difficult to contain unless exposure is actively reduced.

The alternative proposed is a ‘cycle response strategy’—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.

In the research framework, 10x Research 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, losses widened materially, with the spread between the two environments exceeding 30 percentage points, according to the report.

Backtesting suggested meaningful 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, the report said. Maximum drawdown also improved, shrinking from around -80% to roughly -44%—a reduction that Thielen framed 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 that requires ‘dynamic sizing’ instead of a fixed-weight allocation. Thielen suggested a framework in which investors set a maximum portfolio cap—such as 5%—then adjust exposure between 0% and that cap depending on the data-driven regime assessment. The emphasis, he said, is on systematic rules rather than discretionary market calls.

The broader 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, arguing that autonomous software agents paired with trust-minimized payment rails could accelerate the emergence of ‘programmable capital’—a system in which economic activity and settlement are increasingly automated.

Ultimately, the analysis underscores a shift in how market participants may need to think about crypto exposure: Bitcoin’s long-term upside thesis may remain intact, but the path it takes has repeatedly been dictated by cycles. In that environment, understanding regime changes—and responding with disciplined position management—could be a decisive factor in improving risk-adjusted outcomes.

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