Prepared Data

What this tab is for

Prepared Data is reusable local work derived from an imported Dataset. It gives Studies and strategies the inputs they need without repeating the same preparation every time.

How it is created and reused

You normally do not build Prepared Data by hand. When a Study needs compatible bars, arrays, replay inputs, or other derived inputs, Arizmic looks for a matching local item and creates the missing work when needed. A match must use the right source Dataset, time range, settings, and required level of detail.

The tab lets you see what is available, what it is linked to, and whether it is currently reusable. Prepared Data is not the original market source; Catalog remains the place to inspect the imported Dataset itself.

Read a blocker

If a Study cannot proceed, open the related Prepared Data or job and read the first unmet requirement. More preparation cannot create information that was not present in the source. For example, depth-aware work needs suitable depth records; it cannot be reconstructed honestly from bars alone.

Choose the level of detail that answers the question you are testing. Higher detail can require more storage and preparation, but it does not automatically make a strategy or result better.

Keep or reclaim local storage

Use pinning for reusable items you want to keep available. Evict or delete items only after checking their links and current use. Many items can be rebuilt, but rebuilding still needs the original Dataset and can delay a later Study. Rebuild an item when its source, requested detail, or preparation settings have changed.