Accuracy

What counts as good accuracy?

A figure near 100% is good: whole-share rounding barely moved the portfolio away from its targets, while a lower figure means rounding left more of the target unfilled. Because the gap on each holding is at most one share (see target vs deployed), accuracy is usually high, and it naturally improves as your capital grows — the same rounding leftover is a smaller slice of a larger book.

Shorts behave the same way as longs here. The share count is floored on its magnitude before the side is applied, so a short's deployed amount is no larger than its target either — rounding moves both sides toward zero. A reading marginally above 100% is possible on the Holdings view, but it is not produced by the rounding this page describes.

Defaults in Fincanva

• Accuracy is shown as a percentage KPI on the Holdings view, to one decimal place, and reflects the whole portfolio at the selected rebalance date.
• Accuracy rises with more capital, because the whole-share leftover on each holding becomes a smaller fraction of a larger portfolio.
• It measures how faithfully the targets were filled — it is not a rating or ranking of the strategy's quality or its expected return.

Worked example

Suppose a long-only portfolio shows 96% accuracy. That means the deployed, whole-share book is a close match to the target book, and it sits 4 points below a perfect fit because each holding was rounded down to whole shares — the small amounts of leftover cash that could not buy another full share. Add more capital and that 4-point gap typically shrinks, because the same per-holding leftovers weigh less against a bigger portfolio.

Accuracy measures how closely a paper target book was filled, never real orders, and no reading of it is a reason to put money behind a strategy. Fincanva provides no financial advice — see Is this financial advice?.