A-Share Screen Using Price, Daily Range, and Bollinger Bands

Summary

The document describes a short-term stock screen for Chinese equities. It combines a daily high-low range threshold, a closing price of 18.5 yuan, and a close above the middle Bollinger Band but below the upper band. The article presents this band position as a way to identify stocks it considers to be in an upward trend, and suggests sorting candidates by popularity.

It provides indicator logic and a Python example that fetches A-share data and checks the Bollinger condition and price. The example does not consistently implement the stated range filter: its Python checks a different high-low condition. No backtest results or evidence of profitability are supplied. The author notes that the screen omits company fundamentals and broader market risks, and suggests testing Bollinger settings against historical data. The exact-price filter may also sharply limit candidates, and the article does not explain how orders, position sizes, or exits would be handled.

Key ideas

• The screen requires a daily high-low range above its stated threshold and a close of 18.5 yuan.
• It selects stocks whose closing price lies between the middle and upper Bollinger Bands.
• The article frames the band condition as a short-term upward-trend filter but provides no performance evidence.
• The Python example does not fully match the stated range rule, so its implementation requires review.
• The screen omits company quality and market-wide risks, and historical validation is recommended.

Tags

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