How to Read Benchmark Comparison
The Benchmark Comparison block evaluates your strategy against a real, investable alternative — Bitcoin Buy & Hold (see [Benchmark Comparison] in methodology).
It answers a practical question: Does the strategy add value beyond passive exposure?
The goal is not simply to outperform zero, but to justify active risk relative to a benchmark.
1. Alpha (Excess Growth)
Alpha measures the strategy's excess compounded growth relative to the benchmark over the same period.
- Positive Alpha indicates value creation beyond passive exposure.
- Negative Alpha suggests the strategy underperformed a simple buy-and-hold allocation.
Alpha reflects whether active management is economically justified.
2. Beta & Correlation
These metrics describe how strongly the strategy moves with the benchmark.
Beta measures directional sensitivity:
- Low Beta suggests limited dependency on market direction.
- High Beta indicates the strategy behaves similarly to the benchmark.
Correlation measures co-movement consistency:
- Low correlation suggests diversification potential.
- High correlation indicates structural dependence on benchmark trends.
Together, these metrics show whether returns come from independent signals or general market exposure.
3. Tracking Difference
Tracking Difference measures how much the strategy's return path deviates from the benchmark.
For active strategies, deviation from the benchmark is expected. Meaningful deviation combined with positive Alpha indicates differentiated return generation.
If deviation is low, the strategy may function as a leveraged or filtered version of the benchmark rather than a distinct system.
4. Net Edge After Costs
Net Edge reflects average profitability after accounting for trading costs such as commissions and execution impact.
- Sustainable positive Net Edge suggests structural viability.
- Marginal or negative Net Edge indicates vulnerability to execution friction.
If trading costs materially erode per-trade profitability, the strategy's operational feasibility may be limited.
5. Risk-Adjusted Efficiency
Risk-adjusted return metrics evaluate how efficiently the strategy converts risk into return compared to the benchmark.
Outperforming the benchmark on a risk-adjusted basis indicates superior capital efficiency, not just higher volatility exposure.
How to Interpret the Block
Focus on three structural questions:
- Does the strategy generate excess return (Alpha)?
- Is performance independent of market direction (Beta & Correlation)?
- Is profitability sustainable after costs (Net Edge)?
A strategy with modest Alpha but low dependency and sustainable edge may be structurally stronger than one that simply mirrors market exposure.
The objective is not merely to outperform in absolute terms, but to justify active deployment through independence, efficiency, and durable edge.
See also [Guide: Benchmark Metrics] for WFE, retention, and Kill Switch from Walk-Forward validation.
[Kiploks analysis methodology] – formulas, glossary, and FAQ.