Screening Chinese Stocks by Volatility, Leaderboard Flows, and Metaverse Exposure

Summary

This document proposes a Chinese equity screen combining prior-day price amplitude above 1, appearance on the trading leaderboard with purchases exceeding sales, and a connection to the metaverse theme. The rationale is that a larger daily range may identify active stocks, while net buying on the leaderboard may indicate a flow imbalance. The theme filter aims to capture companies linked to an emerging sector. The suggested implementation intersects these conditions and ranks candidates by turnover before selecting a subset.

The article offers indicator and Python-style examples, but its evidence is conceptual rather than empirical: it reports no backtest, returns, or comparison with a benchmark. It flags the immaturity of the metaverse sector and the risk of concentration in popular themes, and recommends adding fundamental, macroeconomic, and additional factor analysis. Some sample logic is ambiguous or inconsistent, so the stated screen should be treated as a rough template requiring data and implementation checks.

Key ideas

• The proposed screen combines prior-day amplitude, leaderboard net buying, and metaverse-related exposure.
• The examples rank qualifying stocks by turnover after intersecting the filters.
• The article gives a rationale for each condition but no performance evidence.
• Theme concentration and the immaturity of the sector are identified as risks.
• The sample formulas contain ambiguities that require validation before use.

Tags

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