Metaverse Stocks Screened by Turnover and Afternoon Large-Order Flow

Summary

This document outlines a Chinese equity screen for metaverse-related stocks. It selects shares with a previous-day actual turnover rate within a stated range and positive afternoon net buying by large orders. The proposed interpretation is that moderate-to-high turnover indicates trading interest and positive large-order flow may reflect demand. Formula and Python examples show how to combine industry membership, turnover data, and buy-versus-sell flow measures into a candidate list.

The article supplies no backtest, performance statistics, or evidence that large-order flow predicts future returns. It acknowledges that the criteria are simple, that market declines can undermine the screen, and that order-flow signals carry operational risk. It recommends investigating each filter, adding fundamental measures, and monitoring market conditions. The examples also rely on provider-specific classifications and flow fields, so the data definitions and timing must be checked before treating the screen as actionable.

Key ideas

• The screen targets metaverse stocks with prior-day actual turnover inside a specified range.
• It also requires positive afternoon net buying from large orders.
• The article treats turnover and order flow as possible signs of market interest, not proven return predictors.
• It provides formula and data-processing examples but no performance evaluation.
• Industry labels and order-flow fields depend on the data source and require validation.

Tags

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