SuperQuant Create free account

SuperQuant feature tutorial · fixed teaching example

Data sources & CSV import

Validate the source and coverage before research uses a dataset.

Before you begin: Importing can change available research data. Export your workspace before replacement.

How to use it

  1. Open Data sources and inspect available connection/import options.
  2. Read the expected CSV fields, market, interval and UTC requirements.
  3. Choose a teaching file only deliberately; inspect validation errors and gaps.
  4. Check the imported label, coverage and fingerprint before running a test.

Worked example and expected outcome

Teaching case: an hourly CSV has a missing hour and an unknown funding field.

Data sources & CSV import: worked example and outcomeTeaching case: an hourly CSV has a missing hour and an unknown funding field.. Can you identify the gap and which cost assumption remains unsupported?. A validated dataset with its remaining coverage limits visible.Worked exampleTeaching case: an hourly CSV has a missing hourand an unknown funding field.Check your understandingCan you identify the gap and which costassumption remains unsupported?Expected outcomeA validated dataset with its remaining coveragelimits visible.

This is a fixed teaching example, not a current quote, personal account result or trade recommendation.

Check your understanding

Can you identify the gap and which cost assumption remains unsupported?

If it does not work

Correct the file or use synthetic teaching data; renaming a file does not verify its provenance.

Try it in SuperQuant

Sign in or create an account to open this lesson in the Academy, then use its safe in-app handoff when the feature is available to your workspace.

Sign in and continue this tutorial