Metaverse Stock Screen Using Leaderboard Activity and Large-Order Flow

Summary

This stock selection method filters for metaverse-related companies that appeared on the previous day’s trading leaderboard and had large-order net volume above 0.05 for at least three consecutive days. It aims to track institutional or large-trader activity using recent order-flow measures alongside a market event filter.

The document provides platform formula and Python examples, but no backtest or performance results. It cautions that large-order net volume can reflect heavy trading without signaling a lasting trend, and that the method focuses on technical and flow data while overlooking fundamentals and rapidly changing market conditions. Suggested refinements include adding sentiment and fundamental measures, using multiple factors, and tuning the flow threshold. Data cleaning and handling anomalous observations are also mentioned as practical concerns.

Key ideas

• The screen requires metaverse sector membership and a leaderboard appearance on the prior day.
• It also requires large-order net volume above 0.05 for at least three consecutive days.
• The document treats order flow as a way to follow major trading activity, while warning it may not indicate a trend change.
• It provides no performance testing and recommends combining flow signals with other factors.

Tags

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