Metaverse Stock Screen Using Prior-Day Trading-List Appearance
Summary
This short-term A-share screening idea focuses on stocks classified in the metaverse theme that appeared on the prior day’s exchange trading-activity list, while excluding stocks that reached the stated near-limit-up threshold. The article expresses these conditions as an industry filter, a prior-day list-date check, and a prior-day return cap, and includes illustrative formula and Python-style examples.
The proposed rationale is to find stocks with recent trading attention that have not already hit the price ceiling. The article provides no backtest, sample, or evidence that the screen predicts subsequent returns, and its code example does not fully demonstrate the theme classification and data handling needed to reproduce the filter. The author notes that the approach may miss fundamentally strong stocks and may wrongly exclude candidates. Suggested additions include market capitalization, trading volume, financial measures, sentiment, and capital flows; no entry, exit, or risk-management rules are specified.
Key ideas
- The screen targets stocks classified in the metaverse theme.\nCandidates must have appeared on the prior day’s trading-activity list.\nIt excludes stocks whose prior-day gain exceeds the stated 9.8% threshold.\nThe article supplies illustrative screening logic but no return evidence or backtest.\nIt suggests adding fundamental, liquidity, sentiment, or flow measures to broaden the filter.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.