A-Share Screening with Auction Imbalance and Recent Limit-Ups

Summary

This Chinese-language post proposes screening A-shares using price amplitude, an opening-auction bid/ask measure, large-order buying, and more than two limit-up sessions over a ten-day window. It frames the combination as a blend of price behavior, order-flow activity, and recent momentum. The accompanying indicator expression and Python sketch illustrate how such filters might be represented computationally.

The post identifies risks including short-horizon volatility, overfitting to technical conditions, and strategy decay, and suggests adding fundamental measures and revisiting the selection period. The examples contain discrepancies: the written threshold for large-order buying differs from the Python threshold, and the stated auction price-change condition is not obviously the same as the bid/ask volume ratio in the code. Limit-up calculations and data handling also need validation. No backtest results are reported, so the rule's predictive value remains unestablished.

Key ideas

• The proposed screen combines amplitude, opening-auction activity, large-order buying, and recent limit-up frequency.
• The post presents the rule as a blend of technical and market-flow information.
• It warns that short testing horizons and many filters can create unstable or overfit selections.
• The written rule and code disagree on at least one large-order threshold and on how auction activity is measured.
• No empirical results are provided to establish effectiveness.

Tags

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