Sentiment Is Cross-Market
Risk appetite is a single phenomenon that manifests across all asset classes simultaneously. When investors feel confident about the economy and markets, they buy stocks, crypto, high-yield bonds, and sell safe havens like gold and treasuries. When confidence fades, the flows reverse. Sentiment measures in one market can therefore serve as leading indicators for another.
Sentiment Indicators by Market
Equity markets have the VIX (implied volatility, often called the fear gauge), put/call ratios (the ratio of protective puts to bullish calls), and fund flow data (whether mutual funds and ETFs are seeing inflows or outflows). Bond markets have credit spreads (the gap between corporate and Treasury yields, which widens during stress). Crypto markets have funding rates (the cost of leveraged positioning), exchange flow data, and social sentiment scores.
Each of these captures a different facet of the same underlying risk appetite. When all of them point toward extreme greed (low VIX, low put/call, positive flows, tight credit spreads, high crypto funding rates, positive social sentiment), the market is vulnerable to a correction. When all point toward extreme fear, the conditions for a recovery are building.
Divergence Between Markets
The most interesting situations are when sentiment indicators across markets disagree. If equity sentiment is cautious (rising VIX, increasing put/call) but crypto sentiment is euphoric (high funding rates, aggressive social sentiment), one of them is likely wrong. Either equities will improve to match crypto's optimism, or crypto will correct to match equities' caution. Historically, when the two diverge, the larger, more liquid market (equities) tends to be the more reliable signal.
Building a Cross-Market Sentiment Dashboard
A practical cross-market sentiment dashboard tracks 5-7 indicators across 3-4 asset classes and produces a composite reading: extreme fear, moderate fear, neutral, moderate greed, extreme greed. The transitions between these states (from neutral to greed, from greed to extreme greed, from extreme greed back to neutral) are the most actionable signals.
As a contrarian tool, extreme readings in either direction have historically been reliable mean-reversion signals. Extreme greed tends to precede corrections. Extreme fear tends to precede recoveries. The composite approach reduces false signals compared to any single indicator because it requires convergence across multiple markets and measures.