Risk management > strategy (from a system design perspective)

When people talk about trading systems, they usually obsess over signals, indicators, or model accuracy.

From a systems perspective, that feels backwards.

A trading algorithm is not just a prediction engine — it’s a risk distribution system.

Some design patterns that make more sense the deeper you go:

Keep strategy logic stable, adjust risk exposure instead
Encode max drawdown constraints at the system level
Use dynamic position sizing instead of fixed allocation
Treat trailing stops as part of execution logic, not an afterthought
Allow both long/short to reduce directional bias

The interesting part:
You can run the same strategy with completely different outcomes just by changing how risk is allocated.

So the real question becomes:
Are you optimizing signals — or controlling risk?

Curious how others here design this:
Do you separate strategy and risk layers in your systems?