Weekly Metaverse Stock Screening with Recent Limit-Ups and Long-Term Trend

Summary

This weekly stock screen targets companies classified in the metaverse theme that have recorded a limit-up event within the recent 25-day window and whose prior closing price is above its 250-day moving average. The post says selection occurs on Mondays, with chosen stocks held for that trading week. It presents the conditions as combining sector attention, a recent surge, and a longer-term trend filter.

The document gives formula references and a Python sketch, but the examples appear inconsistent: the stated screen requires a recent limit-up and a price above the long average, while parts of the code seem to test different conditions or do not clearly enforce the full lookback logic. No backtest results, returns, or evidence of reliability are reported. The post notes that restrictive filters can leave too few candidates, moving averages lag, and concentration should be controlled; it suggests adapting filters to market conditions and adding risk controls.

Key ideas

• The proposed screen combines metaverse classification, a limit-up event in the recent 25-day window, and price above a 250-day average.
• Selection is described as weekly, on Monday, for trading during that week.
• The formula and Python sketch appear not to implement every stated condition consistently.
• The post provides no performance evidence and flags sparse selections, lag, and concentration risk.

Tags

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