Crypto Market Crowding from Cross-Asset RSI Zones

Summary

This indicator estimates how broadly cryptocurrency markets occupy four momentum zones labeled FOMO, recovery, fear, and strength. It retrieves daily prices for broad market indices, Bitcoin and Ether, plus a configurable group of 36 other assets. RSI readings and a rolling z-score framework are used to classify the assets into zones; the displayed analytics summarize zone counts and shares, identify a dominant zone, and can flag when a zone's share crosses a configurable crowding threshold. The indicator also includes visual controls for asset selection, labels, backgrounds, and a panel.

The method offers a cross-sectional view of market participation rather than a standalone trade entry rule. Its usefulness depends on the selected symbols, available price histories, and classification settings; the document does not provide validation showing that crowded readings predict reversals or continuation. Alerts are based on zone proportions at confirmed bars, so they describe the model's current classifications rather than independently verified market positioning or investor sentiment.

Key ideas

• The model classifies selected crypto assets into four RSI-based market zones.
• It uses daily prices for broad indices, Bitcoin, Ether, and a configurable basket of other assets.
• A panel summarizes each zone's asset count and share and identifies the dominant zone.
• Alerts can trigger when a zone's share reaches a chosen crowding threshold.
• The document gives no evidence that the classifications predict future returns or actual positioning.

Tags

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