Screening Stocks by Turnover, Recent Trading-榜 Appearance, and Range

Summary

This Chinese-language post describes a short-term stock screen that selects shares with turnover between 3% and 12%, a listing on the previous day’s trading榜, and an intraday amplitude above 1. It presents these as proxies for trading activity and price movement, with the listing condition adding a signal of recent market attention. The post also gives example implementations in indicator syntax and Python, but provides no backtest or performance evidence.

The author cautions that the screen ignores company fundamentals and longer-term prospects, and that turnover, trading榜 status, and amplitude alone may be unreliable as market conditions and individual stocks change. Suggested refinements include combining short-term filters with moving averages, MACD, and fundamental measures such as valuation ratios, potentially using machine learning. The selection rules are described inconsistently: the initial range specifies a lower turnover bound, while the final rule restates only the upper bound. This leaves the precise intended screen unclear.

Key ideas

• The proposed screen uses turnover from 3% to 12%, a previous-day trading榜 appearance, and amplitude above 1.
• The conditions emphasize trading activity and recent attention rather than company fundamentals.
• The post provides example indicator and Python implementations but no evidence of tested returns.
• The final selection description omits the initial lower turnover bound, creating ambiguity.
• Possible extensions include trend, momentum, valuation, and other fundamental filters.

Tags

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