Quantitative

What tools help avoid common data quality problems in quant?

The question is about Quantitative .

Answer:

To avoid common quant data issues, apply validation checks for schema, missing values, and outliers; adjust for corporate actions; watch for survivorship bias; and use automated pipeline testing. Treat your data like a product with clear SLAs.

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