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Rising-Low and Institutional-Flow Stock Screen

Article SuperMind

Summary

This Chinese stock-screening article proposes selecting shares with a daily range above a threshold, rising lows, positive institutional buying, and a 20-day moving average above the 250-day average. It also excludes special-treatment stocks and describes exit conditions tied to the 30-day average or a sharp one-day decline. The article provides indicator and Python examples, but no backtest results or evidence that the criteria predict returns.

The rationale is that rising lows and a long-term moving-average filter may indicate improving price structure, while an institutional-flow indicator may suggest buying interest. The author cautions that the screen relies heavily on price action and sentiment, and that institutional buying alone says little about a company's operating health. Suggested refinements include adding valuation, growth, industry, and other fundamental measures, and investigating the signal's source and time horizon. The proposed filters and stop conditions are not validated in the document, and the implementation examples may require adaptation to the data and platform used.

Key ideas

  • The screen combines elevated daily range, rising lows, institutional buying, and a short-term average above a long-term average.
  • It excludes special-treatment shares and describes exits based on the 30-day average or a steep daily loss.
  • The author treats institutional buying as a possible sentiment signal, not proof of strong fundamentals.
  • The article recommends considering valuation, growth, industry context, and the behavior of the institutions behind the signal.
  • No performance testing is reported, so the screen's effectiveness remains unknown.

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