Skip to content
All library documents

Metaverse Stocks with a Rising 30-Day Average and High Auction Turnover

Article SuperMind

Summary

This stock-screening idea combines a metaverse theme with a rising 30-day moving average and previous-day auction turnover above 0.26. The moving-average condition is intended to identify an upward price trend, while elevated auction turnover is used as a proxy for short-term trading activity and investor attention. The document gives example indicator definitions and a Python outline for filtering stocks and assigning equal positions across selected names.

The post provides no backtest results or evidence that the screen is profitable. It cautions that auction turnover can be affected by market volatility and trading volume, and that short-term technical measures may miss a company’s longer-term value. It recommends adding fundamental, industry, and other technical analysis, and defining the turnover filter and trading rules more rigorously. The selection criteria are therefore a starting point for research, with risk controls and position management still to be specified.

Key ideas

  • The screen looks for metaverse-related stocks whose 30-day moving average is rising.
  • It also requires previous-day auction turnover to exceed 0.26.
  • The document treats high auction turnover as a possible sign of attention and short-term liquidity.
  • It recommends combining the technical screen with fundamental and industry analysis.
  • The post supplies no performance evidence and calls for explicit risk and position controls.

Tags

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