A-Share Screening with Volatility, Relative Volume, Heat, and Size Filters

Summary

The document describes a Chinese A-share stock screen that seeks active, volatile stocks. It filters for daily price range relative to the low, relative trading volume between stated thresholds, and market capitalization below a stated ceiling, then ranks candidates by individual-stock heat. The rationale is that elevated range and volume may identify trading opportunities and active market themes. It also suggests combining additional characteristics, such as valuation measures, and refreshing heat rankings regularly.

The article gives indicator-style and Python examples, but they do not fully agree with the prose: the code’s range comparison selects values below the threshold, and its ranking condition refers to volume rank rather than heat. It provides no backtest, returns, transaction-cost analysis, or evidence that the screen predicts profitable trades. The volatility, theme rotation, and potential ranking bias are acknowledged risks; the screen is presented as a selection idea, not a validated strategy.

Key ideas

• The proposed screen combines price range, relative volume, market capitalization, and a heat-based ranking.
• The stated rationale is to find volatile stocks with active but not extreme trading.
• The article recommends adding other characteristics and updating popularity rankings to limit selection bias.
• The examples contain inconsistencies with the written rules and should be checked before use.
• No performance evidence is supplied, and rapid changes in market themes may make the screen lag.

Tags

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