Chinese Stock Screening by Price Amplitude and Company Traits

Summary

This Chinese-language post outlines an equity screening idea that combines a price amplitude threshold, exclusion of stocks that hit the daily limit on the previous session, and a filter based on company characteristics. Its example treats positive valuation measures and a banking industry classification as possible company filters. It also gives an amplitude formula based on the day's high and low relative to the previous close.

The post argues that combining price behavior with company traits may bring technical, fundamental, and market considerations into one screen. It offers no backtest, performance results, or evidence that the filters improve returns. The company-trait condition is initially vague and subjective, and the code example makes specific choices that do not fully establish how the original screen should be implemented. The author recommends defining explicit selection rules and mentions machine learning as a possible refinement, without demonstrating either approach.

Key ideas

• The screen combines daily price amplitude with an exclusion for prior-session limit-up stocks.
• Company characteristics, such as industry classification, can serve as an additional filter.
• The example calculates amplitude using the high, low, and previous close.
• The post supplies no measured returns or backtest evidence.
• Subjective company filters need clearly defined rules to reduce inconsistent selection.

Tags

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