Screening Stocks by Metaverse Theme, Auction Flow, and Price Change

Summary

This stock-selection example combines three filters: membership in the metaverse theme, positive main-player net buying during the auction, and an auction price change between -2% and 5%. The accompanying explanation treats theme exposure as a hot-sector signal, net buying as a sign of inflow, and the bounded price change as a way to avoid unusually weak or strong short-term moves. It also lists market changes, noisy technical signals, and subjective screening choices as risks.

The document provides example indicator formulas and a Python-style workflow for retrieving stock data, deriving the conditions, and selecting names that meet all three. It recommends adding more filters, setting explicit thresholds, and periodically reviewing the screen. However, the sample mixes data sources and dates, and the code’s auction-price calculation and flow aggregation are not fully explained. No backtest, portfolio rules, transaction costs, or outcome evidence is supplied, so the screen should be read as an illustrative rule set rather than a validated strategy.

Key ideas

• The screen requires metaverse theme membership, positive auction net buying, and an auction move between -2% and 5%.
• The stated rationale combines sector interest, buying flow, and a bounded short-term price move.
• The document suggests adding filters, defining thresholds, and reviewing the rules over time.
• Its sample workflow gives no backtest or transaction-cost analysis, and some data calculations are unclear.

Tags

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