Chinese Stock Screen Using Turnover, Three Down Days, and Price Change

Summary

This Chinese equity screening idea selects stocks with turnover between 3% and 12%, three consecutive declining sessions, and a stated price change between −5% and 2.6%. The article frames the conditions as a way to find relatively weak stocks that might rebound, combining turnover with recent price behavior. It includes a reference formula and a Python example that sketches how to filter market data for turnover, price change, and consecutive declines.

The article gives no backtest, benchmark, or evidence that the screen predicts rebounds. Its implementation details are not fully consistent: the prose describes three consecutive bearish candles, while the Python example compares successive closing prices, and date handling and data fields are not explained sufficiently to establish that the code reproduces the stated rules. The author also notes that the simple screen omits company fundamentals and may select stocks inaccurately, suggesting fundamental data or machine learning as possible extensions.

Key ideas

• The screen combines turnover from 3% to 12%, three consecutive down sessions, and a price change from −5% to 2.6%.
• The stated thesis is that recent weakness may identify stocks with rebound potential.
• The article provides formula and Python references, but their definitions and implementation are not fully aligned.
• No backtest or measured performance is supplied, and company fundamentals are omitted.

Tags

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