Screening Metaverse Stocks with Auction Net Buying and Weekly MACD

Summary

This stock-screening idea selects companies associated with the metaverse theme when two conditions are met: positive net buying by major participants during the opening auction and a weekly MACD reading above zero. The logic combines a thematic universe filter, an auction-flow signal, and a trend or momentum indicator. The document also sketches indicator formulas and a Python-oriented implementation concept, but it does not provide a complete, validated backtest or specify a portfolio weighting and exit method.

The post warns that the screen can expose investors to price declines, imperfect or delayed data, and shifts in market themes. It recommends improving indicator selection, assessing risk, and updating the rules as conditions change. The presented rationale that these conditions may identify attractive stocks is not supported by performance evidence in the text. The code references also appear incomplete or inconsistent in their data handling, so implementation details need independent verification. Any use would require checking data definitions, signal timing, survivorship and lookahead bias, and transaction costs before evaluating results.

Key ideas

• The screen requires metaverse-sector membership, positive auction net buying, and weekly MACD above zero.
• Its conditions combine a theme filter, opening-auction flow, and a trend indicator.
• The post gives no backtest evidence or complete portfolio and exit rules.
• Potential risks include theme rotation, data errors or delays, and losses from falling prices.
• The example implementation should be checked for data integrity and timing before use.

Tags

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