A Metaverse Stock Screen Using Volume, Moving Averages, and Valuation

Summary

This Chinese-language post outlines a short-term screen for Chinese equities in the metaverse sector. Its final proposed rules combine a volume-ratio range, upward movement in short moving averages, positive money-flow information, a price-to-earnings ceiling, and a minimum count of recent limit-up sessions. It also provides sample formula and Python logic intended to identify candidates from stock data.

The post notes that moving-average divergence is subjective and that volume ratios can be driven by shifting sentiment and short-term speculation. It suggests adding other technical indicators or fundamental measures. The screening criteria are not fully consistent across the text: an earlier description uses a different lower volume-ratio threshold, and the formula and Python examples express some conditions differently. No backtest results, out-of-sample evidence, transaction costs, or risk controls are supplied, so the screen should be treated as an idea rather than a validated strategy.

Key ideas

• The screen targets metaverse-sector stocks with elevated but bounded relative volume.
• It combines short moving-average conditions with money-flow and valuation filters.
• The post gives sample formula and Python implementations for candidate selection.
• It flags subjectivity in defining moving-average divergence and sensitivity of volume to sentiment.
• The described thresholds and implementations are not fully consistent, and no performance evidence is presented.

Tags

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