Metaverse Stock Screen Using Prior Lows and Large-Order Net Volume

Summary

This stock-selection proposal combines three filters: membership in the metaverse theme, a closing price above the prior day's low, and a high ranking by net large-order volume. The price comparison is intended as a short-term price condition, while the order-flow ranking is used as a proxy for market attention and buying activity. The document includes formula and Python examples; the Python version additionally describes selecting the top portion of the volume ranking and shows illustrative position and stop-loss fields.

The article provides no backtest, return data, or evidence that these filters produce an edge. It cautions that the combined conditions may still select too broad a set, that large-order flow can bias decisions, and that fundamentals are omitted. It proposes tailoring criteria to the market and sector, adding financial measures, and considering other technical indicators. The code examples rely on external concept and order-flow data, whose definitions and freshness would need checking, and their added portfolio fields are examples rather than evaluated rules.

Key ideas

• The screen combines metaverse theme membership, a close above the previous day's low, and large-order net-volume ranking.
• The order-flow rank is treated as a proxy for attention and buying pressure.
• The Python example adds an illustrative equal-weight position and a low-based stop field.
• The author flags broad selection, order-flow bias, and missing fundamental data as limitations.
• No performance results or validation are reported.

Tags

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