Metaverse Stock Screening with Arc Patterns and a 250-Day Average

Summary

This post outlines a Chinese equity screen that combines metaverse-sector membership, an arc-shaped price pattern, and a prior-day close above the 250-day moving average. The long moving-average condition is intended to favor stocks already in an established upward trend. It also describes a possible implementation using market data and a shape check across recent closes, though the code and prose do not define the arc pattern consistently.

The post gives no backtest, performance results, or evidence that the screen predicts returns. It warns that technical selection can misread price action and overlook broader market conditions, and suggests adding company fundamentals and other indicators. The example implementation has apparent inconsistencies with the stated conditions, including using current-day highs in one filter and offering an arc test that is only a short-window comparison. Treat the rules as an illustrative screening idea that requires precise definitions and validation.

Key ideas

• The screen combines metaverse-sector membership, an arc-shaped pattern, and a prior-day close above the 250-day moving average.
• The moving-average condition seeks stocks with an established upward trend.
• The post recommends adding fundamental measures and other technical indicators for broader screening.
• No performance evidence is provided, and the example code may not faithfully implement the stated rules.

Tags

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