Screening Stocks for Large Daily Ranges, Turnover, and Institutional Buying

Summary

This stock selection recipe combines a daily price-range threshold, a minimum level of prior-day turnover, and a signal described as institutional buying. The article frames the range and turnover conditions as ways to find shares with activity and liquidity, while institutional accumulation is treated as a sign of improving confidence. It includes a sample Python implementation, but does not document how the institutional signal is measured or validate that the example implements the stated idea accurately.

The article identifies important limitations: institutional data may arrive late, and the screen omits longer-term company and industry fundamentals. The range and turnover cutoffs may also exclude stocks that later perform well. It recommends testing different thresholds and incorporating earnings trends, valuation, and other market signals. No backtest, performance results, or evidence that institutional buying predicts future returns is supplied, so the rules are illustrative rather than a demonstrated strategy.

Key ideas

• The screen combines a daily range filter, prior-day turnover, and an institutional buying signal.
• The article associates range and turnover with active, liquid shares.
• Institutional ownership data may be delayed and may not capture longer-term company quality.
• Fixed thresholds can omit stocks that later perform well.
• No performance evaluation is presented for the screening rules.

Tags

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