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Screening Stocks by Turnover, Daily Strength, and a Weekly Moving Average

Article SuperMind

Summary

This post proposes screening stocks for turnover between 3% and 12%, a daily gain above 1% relative to same-sector shares, and a weekly close crossing above the 30-week moving average. It combines trading activity and short-term relative strength with a longer-term trend filter. The article also includes example indicator formulas and a Python-style routine for selecting candidate shares.

The post gives no backtest, performance evidence, or details about how to trade or size the resulting positions. It warns that the screen relies on a limited set of technical conditions and leaves out factors such as volume context, broader capital-market conditions, and company fundamentals. There is also a potential implementation mismatch: the prose specifies a weekly moving-average crossover and a sector-relative daily gain, while the example code applies additional or differently expressed conditions. Those examples should be checked before use; the article does not establish that the screen is profitable.

Key ideas

  • The proposed screen combines turnover between 3% and 12% with a daily gain above 1% relative to sector peers.
  • It uses a weekly close crossing above the 30-week moving average as a trend condition.
  • The post provides sample formulas and code but no performance evaluation.
  • The code may not match all conditions described in the prose, so the implementation needs review.

Tags

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