BigQuant Meetup Topics: Holding-Period Search and Timezone Handling

Summary

This meetup page collects questions about quantitative trading on the BigQuant platform. Topics include searching for holding-period parameters in a default stock-ranking template, defining reusable Python modules, and building a workflow for developing strategies. It also raises broader learning questions about matching strategies to investors, planning a gradual learning path, and monitoring and revising strategies before, during, and after deployment.

The clearest technical issue is a pandas warning caused by comparing timezone-naive prediction dates with timezone-aware current datetimes in a trade module. The warning says this behavior may become an error in a future version and points toward using a timezone-naive value when indexing a timezone-naive index. The page is a list of questions rather than a set of answers: it supplies no complete fix, parameter-search procedure, learning curriculum, or evidence from strategy tests. Readers must verify date handling and platform-specific guidance in their own environment.

Key ideas

• The meetup asks how to search for holding periods in a default stock-ranking template.
• It flags a pandas compatibility warning when timezone-aware dates are matched against a timezone-naive index.
• The warning indicates that the mismatch may cause indexing errors in a future pandas version.
• The page raises questions about strategy selection, learning plans, platform workflow, and ongoing oversight.
• It records questions but does not provide complete solutions or empirical strategy evidence.

Tags

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