Screening Metaverse Stocks with Return, Turnover, and Liquidity Filters

Summary

The document describes a Chinese equity screening idea that selects stocks associated with the metaverse theme, with positive recent returns and a specified turnover range. It explains these criteria as proxies for thematic exposure, recent performance, and trading activity. The post then proposes a more constrained version that also ranks stocks by market capitalization and floating-share proportion, aiming to address its own concern that the original screen ignores fundamentals and may admit poorly liquid names.

The article supplies example formulas and a Python sketch, but it does not report a backtest, risk-adjusted returns, or evidence that the filters predict future performance. The suggested refinements include business fundamentals and stronger liquidity checks, while portfolio risk control is left as a general recommendation. The description also contains inconsistencies between stated and coded turnover thresholds, so the exact implementation would need clarification before evaluation.

Key ideas

• The initial screen combines metaverse classification, positive returns, and a turnover filter.
• The proposed refinement adds market-capitalization and floating-share rankings.
• The document acknowledges that the screen omits fundamental valuation and growth measures.
• No backtest or performance evidence is provided, and the turnover specifications are inconsistent.

Tags

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