Chinese Metaverse Stock Screening with Institutional Flow and Two-Day Highs

Summary

This document outlines a Chinese equity screening idea combining three conditions: membership in the metaverse theme, a positive institutional-flow reading, and a current high that is the highest of the latest two days. It also includes example indicator references and Python-style code intended to implement the screen using market, flow, and daily price data.

The proposed rationale is to focus on a popular sector, use institutional activity as a flow filter, and favor stocks making a short-term high. The document offers no backtest, performance data, or evidence that these criteria predict returns. Its code also appears inconsistent with the stated rule: it filters for the largest high across the selected stocks rather than explicitly comparing each stock’s current high with its prior day’s high, and the institutional-flow calculation may not match the indicator definition. The author flags changing market conditions, shifting preferences, and stock losses as risks, and suggests adding fundamental and technical inputs. The screen is therefore an unvalidated example, not a demonstrated investment strategy.

Key ideas

• The screen combines metaverse-sector membership, positive institutional flow, and a two-day high condition.
• The stated idea uses sector exposure, flow information, and recent price highs as selection filters.
• The document supplies indicator references and sample code, but no backtest or return evidence.
• The sample code may not implement the described per-stock two-day high comparison correctly.
• The author identifies market shifts and losses as risks and suggests adding more analytical inputs.

Tags

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