Metaverse Stock Screening with Concurrent Crossovers and Valuation Filters

Summary

This stock-selection note proposes screening companies associated with the metaverse theme for three bullish technical crossovers: MACD crossing its signal line, a 5-day moving average crossing above the 10-day average, and the 5-day average crossing above the 20-day average. It also applies positive but capped price-to-earnings and price-to-book ranges, giving stated upper bounds of 29.01 and 3.11, respectively, for Shenzhen main-board stocks. The article includes indicator references and a Python example, although the example’s implementation does not clearly reproduce all three crossover conditions.

The method combines short-term momentum and trend signals with valuation filters. The note identifies uncertainty in choosing valuation ranges, exposure to sector interest and policy or company fundamentals, and the need for a carefully defined stock universe. It suggests adding financial analysis and tailoring valuation limits by category. The document provides no backtest, return data, or evidence that the combination predicts gains; it is a screening proposal with implementation details that need checking.

Key ideas

• The proposed universe is metaverse-related Shenzhen main-board stocks.
• The screen calls for MACD and two moving-average bullish crossovers to occur together.
• The stated valuation bounds are a price-to-earnings ratio below 29.01 and a price-to-book ratio below 3.11, with both ratios positive.
• The note flags sector, policy, financial-condition, and valuation-range risks.
• The sample code appears to use indicator levels and ordering rather than explicitly checking all stated crossover events.

Tags

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