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Stock Screen Combining RSI, Large-Order Flow, and Opening-Gap Filters

Article SuperMind

Summary

This stock screen combines an RSI reading below 65, a condition based on multiplying the daily percentage change by a measure of net inflow from very large orders, and an opening price change between negative two and positive five percent. The accompanying explanation interprets these filters as combining technical weakness, large-order activity, and opening sentiment to identify possible rebound candidates. A sample Python implementation adds turnover, positive valuation checks, and a limit on the number of returned stocks.

The article provides no backtest or measured evidence that the combined conditions identify profitable rebounds. It notes that RSI and the opening move are imperfect signals and that market direction or company fundamentals can undermine the screen. It suggests adding other indicators and a broad-market filter, but does not specify or validate those extensions. The sample code is illustrative, so its data definitions and conditional logic require scrutiny before practical use.

Key ideas

  • The screen combines an RSI threshold with a large-order net-inflow measure and an opening-gap range.
  • The article frames the combination as a search for potential rebounds, not as a tested result.
  • Its sample code adds turnover and valuation filters and limits the output list.
  • The article identifies indicator limitations and broader market and fundamental risks.
  • Suggested additions, including other technical measures and a market-trend filter, are not evaluated.

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