A Metaverse Stock Screen Using Turnover and Two-Day Closing Highs
Summary
This Chinese A-share screening post describes a rule-based selection process for stocks in the metaverse sector. It filters for shares whose previous-day turnover rate exceeds 8%, then requires the current close to equal the highest close across the current and prior sessions. The stated rationale combines sector exposure, trading activity, and a near-term price-strength condition.
The post supplies formula and Python examples, but it does not report backtest results or performance evidence. Its Python snippets are illustrative and include data-selection details that may need adjustment to match the data source and date structure. The author flags the strategy as risky, particularly because technical conditions can encourage subjective decisions and may fail when market conditions shift. Suggested extensions include adding valuation measures and recent price-change information, though these additions are not tested in the document.
Key ideas
- The screen focuses on metaverse-sector stocks with previous-day turnover above 8%.\nIt also requires the current closing price to match the highest close over the latest two sessions.\nThe post presents the combination as a way to incorporate sector, liquidity, and price-trend considerations.\nThe document offers no performance validation and cautions that the rule may be vulnerable to market regime changes.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.