How BigQuant Handles Shared and Incrementally Updated Factors
Summary
The document explains how BigQuant’s factor research platform handles user-created factors and downstream dependencies. A researcher can combine platform factors A and B into a derived factor C, submit C to the platform, and let other users with access clone its construction script for their own development. They can then use that script to build a further factor D.
The described update process is incremental: platform factors A and B receive daily data updates, and submitted factor C is also updated daily. A downstream factor D will receive daily incremental updates too if its creator builds it from C and submits it to the platform. The explanation addresses factor reuse and data maintenance, but does not describe update timing, dependency failure handling, versioning, or whether changes to a factor’s calculation logic trigger historical recomputation. It provides a platform workflow rather than evidence about trading performance.
Key ideas
- Users can derive a factor from existing platform factors and submit it to the factor platform.
- Other users with access can clone the submitted factor’s construction script for their own work.
- Submitted factors are described as receiving daily incremental data updates.
- A downstream factor built from another submitted factor can also receive daily updates after submission.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.