Screening Stocks with Range, Moving Average, and Large-Order Flow

Summary

This Chinese-language post proposes a short-term stock screen combining three conditions: daily price range above a threshold, the opening price near its 10-day moving average, and positive large-order net flow over a consecutive three-day period. The rationale is to find shares showing recent movement while attracting buying interest. The post includes example formulas and Python-style logic for applying the filters, and suggests using relative large-order flow to account for differences between industries.

The document gives no backtest results or measured evidence that the screen predicts returns. It explicitly identifies important limitations: the rules omit company fundamentals, large-order net flow may be measured subjectively, and volatile markets can make selected stocks risky. It recommends adding fundamental analysis and risk controls. The wording also describes the moving average proximity and order-flow conditions somewhat loosely, so a researcher would need to specify the exact calculations and validate them on point-in-time data before drawing conclusions.

Key ideas

• The screen combines recent price range, opening price near a 10-day moving average, and sustained positive large-order flow.
• The stated aim is to identify stocks with short-term movement and apparent institutional buying interest.
• The post suggests scaling order flow relative to industry characteristics to improve comparisons.
• The screen omits fundamentals and may be vulnerable to noisy order-flow measures and market risk.
• No backtest evidence is provided, so the rules require explicit definitions and independent validation.

Tags

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