Low-Price Stock Screening with Turnover and Large-Order Flow

Summary

This Chinese equity screen combines turnover, price change, large-order net flow, and share price. In the prose description, it looks for stocks with turnover between 3% and 12%, a positive product of the daily price change and super-large-order net amount, and a share price below 12 yuan. A Python example also ranks qualifying names by a weight derived from turnover, volume, and price, then returns a capped list. The document gives no backtest or evidence that the filters improve returns.

The article warns that a low share price can distort selection and says broader market or industry conditions may matter; it proposes adding other technical indicators. There is an implementation inconsistency: the formula example uses a specified price-change interval and a different expression for large-order flow, while the prose emphasizes turnover. The Python version uses net amount scaled by volume. These definitions should be reconciled before treating the examples as equivalent. The proposed low-price return advantage is asserted, not supported with results.

Key ideas

• The prose rule combines a turnover band, positive price-change and large-order-flow product, and a price ceiling.
• The Python example ranks qualifying stocks using turnover, volume, and price-derived weights.
• The formula and code examples do not fully match the prose rule.
• The article offers no performance evidence for the screen or its low-price rationale.
• Market and industry context are suggested as additional considerations.

Tags

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