Stock Screening by Price Movement, Listing Age, and Share Concentration

Summary

This Chinese-language post describes a stock screen using three conditions: daily price movement greater than 1%, a listing history longer than one year, and a concentration measure below 20%. It presents price movement as a proxy for activity, listing age as a rough stability filter, and lower concentration as a way to favor broader share circulation and reduce the influence of a major holder.

The post includes indicator formulas and a Python example that queries stock data, filters by concentration, ranks by circulating market value, and checks recent price changes. It cautions that market style can change and says liquidity should be checked. It suggests adding valuation measures or adjusting the concentration threshold. The example's implementation does not clearly match every stated condition: its price-change calculation is not explicitly a range-based amplitude, and its listing-age filter is not visibly applied. No backtest or performance evidence is provided, so the screen should be treated as a proposed heuristic rather than a validated strategy.

Key ideas

• The screen combines a price-movement threshold, a minimum listing age, and a share-concentration ceiling.
• The post interprets price movement as activity and lower concentration as broader circulation.
• Its Python example ranks eligible shares by circulating market value and checks recent price changes.
• Market regime shifts and inadequate liquidity may reduce the usefulness of the criteria.
• The post provides no performance test, and its sample code does not visibly implement every stated rule.

Tags

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