A Metaverse Stock Screen Using Prior-Day Activity and Quote Imbalance
Summary
The article proposes screening Chinese A shares in the metaverse industry for stocks reported on the prior day’s Dragon-Tiger list and with first-level bid volume greater than first-level ask volume. It interprets the quote imbalance as a sign of positive trading sentiment and suggests combining that signal with industry membership and recent market activity. The article also recommends adding financial measures such as revenue, profit, and growth to broaden the evaluation.
The supplied implementation references market data retrieval and historical bars, but the examples do not provide convincing validation or performance evidence. The screening description, formula reference, and Python example appear inconsistent: the stated Dragon-Tiger condition is not clearly represented by the formula, and the sample data fields may not correspond to the described data. The article itself warns that ignoring company fundamentals can make the selection unreliable, especially when sentiment is extreme, and notes data cleaning concerns. Treat the screen as an idea to verify against documented data sources, not as a tested strategy.
Key ideas
- The proposed screen combines metaverse industry membership, prior-day Dragon-Tiger list activity, and a first-level bid-to-ask volume comparison.
- The article treats greater bid volume as a possible indicator of positive sentiment.
- It suggests adding company financials and industry measures to improve stock evaluation.
- The formula and sample implementation do not clearly match the described screening rules, so the data logic requires verification.
- The article reports no backtest and cautions that sentiment-only selection can be risky.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.