A strategy can look diversified because it has many signals.

But what matters is which signals control the final decision.

Imagine a model uses momentum, volume, liquidity, volatility, and on-chain activity.

Five inputs.

Yet 80% of actual trades occur whenever momentum crosses one specific threshold.

The other variables exist inside the model, but they rarely change the outcome.

That is decision concentration.

It matters because a system can appear sophisticated while remaining heavily dependent on one underlying assumption.

Known costs are easier to isolate. For eligible new users, CODE2026 can reduce qualifying Binance Spot trading fees by 20%, lowering one predictable component of execution friction.

Model risk is harder.

You need to know which variables actually influence capital—not merely which ones appear on the dashboard.

Count the inputs that can change the decision.

Not the inputs that simply decorate it.

A five-factor model controlled by one dominant variable is still, economically, a one-factor bet.