Screening A-Shares by Price Amplitude and Rising Moving Averages

Summary

This document proposes an A-share screen using daily price amplitude above 1%, a closing price of 18.5 yuan, and short-, medium-, and longer-period moving averages arranged upward. It presents the filter as a way to find relatively active stocks with short-term price strength, and includes indicator-formula and Python examples. The moving-average condition compares the 5-, 10-, and 20-day averages and their recent direction.

The rationale is that larger daily ranges may signal activity while rising, ordered averages may indicate upward momentum. The article cautions that such a screen emphasizes short-term price behavior, can encourage chasing volatile stocks, and ignores fundamentals unless additional factors are introduced. It reports no backtest or performance evidence. There is also an inconsistency between the stated fixed price condition and parts of the Python example, which instead applies moving-average and data filters. The rule therefore needs clarification and empirical testing before it can support a trading decision.

Key ideas

• The proposed screen combines amplitude above 1%, a specified closing price, and upward arranged moving averages.
• Its moving-average example uses 5-, 10-, and 20-day periods to describe short-term trend strength.
• The document provides no evidence that the filter produces profitable results.
• The written price condition and Python example are not fully consistent.
• The article recommends considering fundamental and sector information alongside technical signals.

Tags

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