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Screening Stocks for Turnover, Three Down Days, and Institutional Flows

Article SuperMind

Summary

This stock-selection idea screens for shares with turnover between 3% and 12%, three consecutive declining sessions, and positive net institutional money flow. It frames the pattern as a way to find stocks that have pulled back while attracting institutional buying. The document also provides example indicator and Python implementations intended to identify candidates from stock and money-flow data.

The examples do not establish that the screen is profitable or that it reduces risk. The article itself cautions that the rules omit fundamental analysis and that institutional-flow measures can be overstated or misinterpreted. Its sample Python logic checks a short historical interval and positive flow on the latest queried day; users would need to verify that these implementation details match the intended turnover and three-day conditions. The suggested extensions are to include financial characteristics, industry and macroeconomic context, and additional technical signals, then evaluate the combined rules before live use.

Key ideas

  • The screen combines a turnover band, three consecutive down sessions, and positive institutional net flow.
  • The selection logic aims to identify declining stocks that may be receiving institutional buying.
  • The provided examples are screening references and do not demonstrate strategy performance.
  • Fundamentals, sector conditions, macro factors, and measurement quality remain important omissions.
  • Implementation details should be checked against the stated conditions before evaluation.

Tags

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