Skip to content
All library documents

Limit-Up Momentum Screening with Price and Position-Change Filters

Article SuperMind

Summary

This stock selection approach combines three signals: more than two limit-up sessions within ten days, a closing price above the previous day's low, and a reported daily position increase above 5%. The post interprets these as signs of buying interest and upward momentum. Its final stated screen adds valuation constraints of a price-to-earnings ratio below 30 and a price-to-book ratio below 2.

The article gives a rationale for each filter and suggests expanding the assessment with other valuation measures or longer observation windows. It does not provide backtest results or evidence that the combined conditions predict returns. The risk discussion focuses on overheated sentiment and possible price bubbles, while the sample Python selection uses different fields and conditions from the stated screen. That mismatch leaves implementation details unclear, and the proposed filters do not establish that the strategy controls downside risk.

Key ideas

  • The proposed screen looks for more than two limit-up sessions in ten days, a close above the prior day's low, and daily position growth above 5%.
  • The final selection rules also specify price-to-earnings below 30 and price-to-book below 2.
  • The author reads repeated limit-ups and position increases as signs of bullish sentiment.
  • The post gives no performance evidence, and its sample code does not clearly implement the stated rules.

Tags

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