BigQuant Data Table Naming and Feature Extraction Guidance

Summary

This support exchange addresses errors encountered while following a BigQuant tutorial. It identifies two script issues: a data source table name cannot contain spaces, and the daily Chinese stock bar table exposes fields such as close, open, high, and low rather than derived, indexed features such as close_0.

For those basic features, the response recommends using BigQuant’s feature extraction module. The advice is practical guidance for configuring a data pipeline, but it does not describe a trading signal, model, or strategy. It includes no empirical results, and its applicability depends on the platform’s current table schema and module behavior.

Key ideas

• Data source table names should not contain spaces in the described setup.
• The stock bar table provides raw price fields such as open, high, low, and close.
• Derived basic features such as indexed close values must be obtained through a feature extraction module.
• The guidance concerns platform data preparation rather than strategy performance.

Tags

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