Stock Screening with Amplitude, Price, and Arc-Shaped Patterns

Summary

The document outlines a Chinese stock-screening idea that combines daily price amplitude above 1%, a closing price of 18.5 yuan, and an arc-shaped chart pattern. It suggests that the amplitude filter may find active stocks, while the price and pattern conditions narrow the candidates. It also mentions sorting selected stocks by trading value and proposes adding market capitalization, valuation, or MACD filters.

The examples describe how such conditions might be expressed in a screening formula and a Python workflow, but the arc detector is left as a placeholder. The sample code also has implementation gaps, including a hard-coded trading date and a reference to trading volume data that is not added to the selected records. No backtest, performance figures, or evidence of predictive value are provided. The author flags pattern recognition as subjective and potentially inconsistent across securities and industries, so the screen should be treated as an idea requiring objective definitions and validation.

Key ideas

• The screen combines amplitude above 1%, a closing price of 18.5 yuan, and an arc-shaped pattern.
• The proposal interprets amplitude as a possible filter for active stocks, but gives no supporting performance evidence.
• Market capitalization, valuation, and MACD are suggested as possible additional filters.
• The arc-pattern condition is not implemented, leaving a key part of the method undefined.
• Subjective pattern recognition may lead to misclassification and may not transfer across stocks or industries.

Tags

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