Metaverse Stock Screening with Positive Institutional Flows and a Fixed Price

Summary

The document presents a Chinese equity screening idea combining metaverse-sector membership, a positive institutional-flow measure, and a share price of 18.5 yuan. It describes the sector filter as a way to target an emerging theme and treats institutional activity as a possible signal for stock selection. Example screening logic and a Python outline show how sector, money-flow, financial, and daily-price data might be combined, although the implementation adds a positive main-business-profit condition not stated in the headline rules.

The post warns that a fixed share-price level is arbitrary, sector exposure can carry concentrated risk, and reported institutional flows do not capture all market activity or liquidity conditions. It suggests adding industry, technical, and fundamental information or revising the price rule. The document gives no performance results or evidence that the filters predict returns. Its title mentions a price of 18, while the body specifies 18.5, and the code appears to use sector-name matching rather than a definitive sector classification; these details make the rule ambiguous and difficult to reproduce exactly.

Key ideas

• The proposed screen combines metaverse-sector stocks, positive institutional flows, and a share price of 18.5 yuan.
• The example implementation adds a positive main-business-profit filter beyond the stated core conditions.
• The post treats institutional activity as informative but acknowledges that flows do not fully represent market trading.
• A fixed price threshold and concentrated sector exposure can make the screen fragile.
• The document provides no backtest or evidence of investment performance.

Tags

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