Stock Screening with Positive P/E, Moving-Average Clusters, and MACD

Summary

This stock-selection method filters for shares with at least five overlapping moving averages, a positive price-to-earnings ratio, and shortening MACD histogram bars on a 15-minute timeframe. It presents the moving-average cluster as an indication of trend agreement and reads shorter negative MACD bars as a possible shift toward rising prices. The final proposed process orders qualifying shares by P/E and selects the ten highest-ranked candidates. The article also suggests adding stop-loss and take-profit rules, as well as more technical and fundamental measures.

The article provides a strategy description and a fragment of Python code, but no complete implementation, backtest, or performance evidence. It does not define how moving averages count as overlapping or specify all calculation details. Its explanation that a positive P/E means the ratio is above its historical average is not established by the condition itself: positivity only indicates a positive ratio. Ranking by the highest P/E may also favor more expensive valuations, depending on context. These limitations call for clearer screening rules, validation, and risk management.

Key ideas

• The screen combines at least five overlapping moving averages with positive P/E and shortening 15-minute MACD bars.
• The proposed ranking selects the ten highest-P/E stocks among those that pass the filters.
• A positive P/E does not by itself show that the ratio is above its historical average.
• The article gives no backtest, complete code, or precise definition of moving-average overlap.
• It recommends considering additional indicators and explicit exit controls.

Tags

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