How should you think about scheduled versus event-driven rebalancing?

Scheduled rebalancing means the strategy checks and adjusts positions on a fixed calendar such as daily, weekly, or monthly. Event-driven rebalancing means the strategy trades only when something meaningful happens, such as a threshold crossing, a regime flip, or a risk constraint breach.

Neither is universally better. Scheduled rules are easier to operate and compare in research, while event-driven rules often waste less turnover when the signal is noisy and the edge only changes occasionally.

A calendar works well when the signal updates naturally on a calendar, when the position only changes slowly, or when operational simplicity matters almost as much as theoretical precision.

Trigger-based policies make more sense when the strategy only becomes attractive after a real state change. They can cut unnecessary churn, but only if the trigger is robust enough that the strategy is not just reacting to noise with more code around it.

Start by measuring turnover, fill assumptions, and realized rebalance counts under both policies. Then compare not just return metrics, but also how sensitive the result is to small parameter changes, how much the policy depends on ideal execution, and whether the live operating burden still looks sane.