In the last article, we established that digital asset markets offer high volatility, persistent structural inefficiencies, and a predominantly retail participant base.
These are precisely the conditions under which momentum-based systematic strategies are empirically shown to perform.
Today, we quantify that performance and compare it directly against traditional market benchmarks using an equivalent framework.
The Momentum Factor in Digital Assets
Momentum as a systematic factor is well-established across asset classes: assets that have recently moved in a direction tend to continue in that direction over a defined holding period.
In traditional markets, however, this effect is often more moderated, as broader institutional participation, deeper liquidity, and more efficient price discovery tend to reduce the persistence and magnitude of directional moves.
In digital asset markets, this effect is reinforced by three structural characteristics:
- High volatility – directional moves are larger in magnitude
- Retail-dominated participant base – behavioural patterns reinforce trends
- Persistent inefficiencies – pricing anomalies are not arbitraged away quickly
Quantifying the Momentum Effect: S&P 500 vs. Bitcoin
To isolate the difference in momentum behavior between the two markets, we applied an identical simplified model to both. This does not represent a strategy that can be traded live, but rather is a controlled comparison designed solely to illustrate how the same systematic logic produces structurally different outcomes depending on the underlying market. Here are the model parameters:
Model Parameters
- Entry: Price closes above the 50-day moving average
- Exit: Price closes below the 50-day moving average
- No leverage. Identical framework applied to both assets.
S&P 500: The 50-day MA strategy underperforms the buy & hold strategy albeit with lower drawdowns.
Bitcoin: The 50-day MA strategy outperforms the buy & hold strategy by more than 2x.
The difference in outcome is a function of differing market structures between the two asset classes.
Risk-Adjusted Metrics (Jan 2019 - Mar 2026)
| S&P 500 Buy & Hold | S&P 500 50-Day MA | Bitcoin Buy & Hold | Bitcoin 50-Day MA | |
|---|---|---|---|---|
| Total Return | +170.3% | +90.1% | +1,777.4% | +3,975.8% |
| Sharpe Ratio | 0.96 | 1.01 | 0.97 | 1.38 |
| Max Drawdown | -33.9% | -21.3% | -76.7% | -57.6% |
For both the S&P 500 and Bitcoin, the 50-day MA model produces lower drawdowns versus buy & hold. In relatively immature markets, simple models are capable of providing much stronger outperformance compared to more mature markets.
These differences can be largely explained by the markets being in very different stages of their asset maturation cycle. In relatively immature markets, simple models are capable of providing much stronger outperformance compared to more mature markets.
The Inherent Constraint of Long-Only Momentum
The basic 50-day moving average model applied to Bitcoin above is a simplified illustration of a key structural point: that momentum effects are stronger in digital asset markets than in traditional ones.
Our institutional Robuxio Crypto portfolios include a systematic momentum strategies sleeve - as part of a diversified portfolio across a broad universe of the top 40 USDT-settled crypto futures (reconstituted daily by volume and liquidity).
The equity curve of one of our momentum long strategies below, clearly illustrates the weaknesses of running standalone strategies. The strategy experienced a 908-day drawdown period from September 2021 until March 2024 and experienced a drawdown on 96.5% of days.
The length and depth of drawdowns shown above are not a sign of strategy failure, but rather the same spectrum of regime changes as traditional markets. Long-only exposure performs in bull regimes and sits through significant drawdowns in bear regimes. A robust institutional portfolio requires a regime agnostic approach, not just outperformance in a single environment.
Digital asset markets are subject to the same spectrum of regime changes as traditional markets. Long-only exposure performs in bull regimes and sits through significant drawdowns in bear regimes. A robust institutional portfolio requires a regime agnostic approach, not just outperformance in a single environment.
Tomorrow, we will address the case for bi-directional systematic exposure and how short strategies structurally improve portfolio performance across the full market cycle.