A Chinese Stock Screen Using Amplitude, Prior-Day Limit Status, and Auction Activity

Summary

The proposed screen selects Chinese stocks with amplitude above 1% that did not close at the daily upper limit on the prior day, then ranks candidates by the current day’s auction amount and keeps the top five. The article treats large auction activity as a sign of market interest and presents the filters as a possible aid for finding short-term trading candidates. It offers no measured results or evaluation of whether auction activity predicts subsequent returns.

The accompanying Python sketch does not faithfully implement the stated ranking: it sorts a field called turnover rate, examines an initial subset of stocks, and then applies checks that do not directly establish the stated amplitude and prior-day limit conditions. It also does not show an auction-amount data source. The article acknowledges that auction activity alone may bias selection and that recent market behavior can screen out firms with longer-term potential. It suggests considering company financials and further risk analysis, but supplies no detailed method for combining them with the ranking.

Key ideas

• The stated screen ranks stocks by current auction amount after applying amplitude and prior-day limit-status filters.
• The article positions the approach as a short-term candidate-selection reference and reports no performance evidence.
• The Python example uses turnover rate rather than auction amount for ranking.
• The example’s checks do not clearly implement the stated amplitude and prior-day limit conditions.
• The author notes that relying on auction activity and recent performance can create selection bias.

Tags

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