A Metaverse Stock Screen Using Auction Flows and Rising DEA
Summary
This stock-selection proposal combines three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and a rising DEA line. The accompanying explanation frames these as a way to combine market attention, auction-period capital flows, and a technical rebound signal. It includes example formulas and a Python sketch, although the code’s MACD condition is not an exact match for the written description of a rising DEA line.
The post identifies several limitations: auction-flow figures may be inaccurate, the screen may include overbought or technically weak stocks, and it omits fundamental factors. It suggests adding other technical and fundamental measures or using a multi-factor model, but does not test those changes. No backtest results, portfolio rules, transaction costs, or risk-adjusted evidence are presented, so the screen remains an unvalidated selection idea rather than a demonstrated strategy.
Key ideas
- The proposed screen combines metaverse exposure, positive auction net buying, and a rising DEA signal.
- The post provides example formulas and a Python implementation sketch.
- Auction-flow data may be inaccurate, and the screen can select overbought or weak stocks.
- The proposal omits fundamentals and offers no backtest or transaction-cost analysis.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.