Troubleshooting Plots from Rolling Training Results
Summary
This brief platform support note addresses a missing or failing plot in a rolling training workflow. It recommends first checking whether the rolling training process produced results, then inspecting the returned results one at a time and displaying the relevant output. The suggested diagnostic approach uses the result collection’s length and a loop that attempts to display each item, while catching errors so one failure does not stop inspection of later items.
The note provides no underlying trading method, performance evidence, or explanation of the plotting objects. Its usefulness is limited to a practical debugging pattern for users of the referenced quantitative platform. The displayed example also uses different result variable names in places, so readers need to adapt it to their own workflow and verify which object contains the plot.
Key ideas
- Check that rolling training produced results before debugging its plots.
- Inspect results individually to identify which item fails to display.
- Catch per-item errors so inspection can continue through the result collection.
- Adapt the example to the actual result object and variable names in use.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.