Screening Shenzhen Metaverse Stocks by Fund Flows and Valuation
Summary
The document proposes a Chinese equity screening rule for Shenzhen main-board stocks in the metaverse theme. It combines positive institutional-flow readings with positive price-to-earnings ratios below 29.01 and price-to-book ratios below 3.11. It also sketches implementations using platform-specific indicators and market data, with the Python example filtering by theme, flows, valuation, listing status, and listing date.
The post argues that theme exposure, institutional activity, liquidity, and valuation can help narrow candidates, then notes that sector concentration, incomplete flow signals, and fixed valuation cutoffs can miss risks or overlooked stocks. It suggests adding other sectors and fundamental or technical measures. No backtest, return series, or evidence that the thresholds predict performance is provided. The code’s proxies and filters do not exactly match every stated criterion, so the example should be treated as an implementation sketch rather than a validated strategy.
Key ideas
- The screen combines metaverse theme membership with positive institutional-flow readings.
- It limits candidates to Shenzhen main-board stocks with positive valuation ratios below stated cutoffs.
- The document identifies sector concentration, imperfect flow data, and fixed thresholds as risks.
- It proposes adding broader market, technical, and fundamental information.
- No performance test is reported, and the sample code does not precisely implement every stated filter.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.