Combining Volatility, Institutional Participation, and Moving Averages for Stock Selection

Summary

This Chinese stock-screening recipe selects shares after the close using three conditions: five-period amplitude above one, institutional participation above 30, and a short moving average above a longer one. The stated intent is to combine recent price movement, an institutional-flow proxy, and trend confirmation. The document’s prose refers to 20- and 120-day averages, although its final formula and code reference a 5- and 120-period comparison, leaving the intended short average ambiguous.

The page explains the rationale for each filter and warns that the screen omits macroeconomic, policy, market, and operational risks. It recommends comparing sectors and combining the rules with other approaches or a multifactor model. It supplies formula and Python examples, but no backtest, selection results, or evidence that institutional participation predicts returns. Data definitions, thresholds, and implementation details should be checked before use; the example code also does not provide a complete, clearly validated universe-wide calculation.

Key ideas

• The screen combines recent amplitude, institutional participation, and a moving-average trend condition.
• It is intended to select qualifying stocks after the market close.
• The prose and formula disagree on whether the short moving average uses five or 20 periods.
• The article warns that the filters omit broader market and policy risks.
• No performance evidence is provided, so the rules require validation before use.

Tags

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