Stock Screening with RSI, Price, and Ten-Day Return Filters

Summary

This post describes a Chinese equity screening rule that selects stocks with a six-period RSI below a threshold, a share price below a stated ceiling, and a positive return over the recent ten-day interval that remains below an upper bound. It gives an indicator formula and a Python-oriented example that also applies universe filters, queries price and fundamental fields, and limits the output list. The accompanying discussion suggests adding sentiment, macroeconomic, and company fundamentals as further screening inputs.

The post presents filter logic and implementation references, but it provides no backtest results, entry or exit rules, or evidence that the screen predicts returns. Its code example mixes the stated ten-day close-to-close return condition with a calculation based on the latest close and open, so those formulations may not select identical stocks. The criteria are therefore best read as a screening template requiring verification, point-in-time data checks, and independent testing before use.

Key ideas

• The screen combines a low RSI reading, a low share price, and a bounded positive recent return.
• The post provides formula and data-query examples for applying the filters to Chinese stocks.
• It proposes adding sentiment, macroeconomic, and fundamental inputs to broaden the selection process.
• No performance evidence or complete portfolio and trading rules are supplied.

Tags

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