Metaverse Stock Screening with Price and Moving Average Conditions

Summary

This post describes an equity screen that combines membership in the metaverse concept group with two price conditions: the close must exceed the previous session’s low, and the open must fall within ten percent above or below the ten-day simple moving average of closes. It gives equivalent screening expressions and a Python example. The example also proposes equal allocation across selected names and a stop level based on the recent ten-day low, adjusted downward by two percent.

The post offers no historical test, measured return, or comparison with a benchmark, so it does not establish that the rules are profitable. It flags the absence of valuation and earnings checks, possible sensitivity to market conditions, and concentration in one theme. Suggested additions include fundamental filters, other technical indicators, and diversification. The position and stop examples are implementation suggestions rather than validated risk controls.

Key ideas

• The screen requires metaverse concept membership and a close above the prior day’s low.
• The opening price must be within ten percent of the ten-day moving average.
• The example proposes equal weighting and a stop based on the recent ten-day low.
• The post provides no backtest evidence and identifies theme concentration and missing fundamentals as limitations.

Tags

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