Available Price Fields in BigQuant’s Automatic Stock Labeling Module

Summary

This BigQuant help response clarifies which data fields are available in its visual automatic stock-labeling module. It says the module directly supports only the standard open, high, low, and close price fields. A user asking about unavailable documentation and an expression error is advised that broader data access requires a custom Python module or a feature-extraction module.

For custom expressions, the response points users toward the platform’s feature-extraction examples. It does not explain the syntax of the failed shifted-return expression, identify the underlying data tables, or provide a complete worked example. The guidance is therefore useful as a platform limitation and workflow distinction, but not as a general explanation of labeling methods or a trading signal.

Key ideas

• The visual automatic stock-labeling module supports open, high, low, and close fields.
• Additional fields require a custom Python or feature-extraction module.
• Custom expressions can be implemented through feature extraction examples.
• The response does not diagnose the reported shifted-return expression error.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.