Industry and Rising 30-Day Average Filter for Stock Selection
Summary
This stock-selection example combines membership in two named categories, “metaverse” and “beverage and alcohol imports and exports,” with a rising 30-day moving average. The moving-average rule checks whether its current value exceeds its prior value. The document describes the industry filters as a way to focus the universe, then uses the trend condition to narrow candidates further.
It gives formula and Python examples, but reports no backtest, selected-stock results, or evidence that the combination improves returns. The category labels may depend on a particular platform’s industry and concept classifications, and the text does not explain how those classifications are assigned or updated. It flags concentration in a narrow industry and sensitivity to unexpected market or industry developments as risks. Broader economic and financial factors, along with risk controls, are suggested as possible additions, but their effects are not tested.
Key ideas
- The screen selects stocks tagged to both the metaverse concept and the beverage and alcohol import-export industry.\nIt requires the 30-day moving average to be higher than its previous value.\nThe document provides formula and code examples but no evidence from a backtest or live results.\nNarrow industry exposure can make the selection vulnerable to sector-specific developments.\nThe platform’s category definitions and classification process are not explained.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.