Stock Screening with Dividend Yield, Moving-Average Convergence, and Range

Summary

This Chinese-language post describes an equity screen combining daily price amplitude, convergence of five moving averages, and a 2019 dividend-related threshold. It proposes using the 5-, 10-, 20-, 30-, and 60-day averages, then adding other financial measures to identify stronger candidates. The rationale offered is that a wider daily range may indicate activity, while clustered averages may indicate price consolidation; dividends are presented as a possible sign of company appeal.

The post also flags that a high payout does not ensure stable earnings and may strain cash flow or impair longer-term development. It provides sample Python using historical stock data and technical indicators, but the implementation has apparent inconsistencies: the stated test for moving-average convergence counts distinct values and then accepts five distinct readings, and the dividend field is not clearly established as a payout ratio. No backtest results or performance evidence are reported, so the screen's rationale and code should not be read as validated strategy results.

Key ideas

• The proposed screen combines price amplitude, five moving averages, and a 2019 dividend measure.
• The specified moving averages span 5 to 60 trading days.
• The post suggests adding financial metrics and considering industry and macro conditions.
• A high dividend payout can create cash-flow and sustainability risks.
• The sample implementation and dividend-data definition contain ambiguities, and no performance evidence is supplied.

Tags

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