What this hub covers
Market sentiment analysis uses crowd psychology data — survey readings, options positioning, short interest, and insider activity — as a secondary signal alongside price action. At extremes it can be contrarian; between extremes it often reflects the existing trend. This hub teaches you how to read each indicator, interpret extremes, and combine multiple signals without chasing false bottoms.
Key principles
- Sentiment is secondary: Use sentiment indicators to time entries and exits around an existing thesis, not as standalone buy or sell signals.
- Extremes matter most: Sentiment indicators are most actionable at statistical extremes — readings that occur less than 15–20% of the time historically.
- Contrarian with confirmation: Extreme bearish sentiment becomes actionable when price also shows evidence of stabilizing, not simply because a reading is low.
- Multiple signals compound: A put/call spike, extreme AAII bearishness, and high short interest occurring simultaneously creates a stronger setup than any single indicator alone.
- Insider buying outperforms insider selling: Insider buying — especially cluster buying by multiple insiders — carries stronger predictive weight than insider selling, which can reflect diversification or tax planning.
- Fund flows lag price: Institutional fund flow data via 13F filings is delayed by 45 days, making it useful for understanding positioning but not for tactical timing.
- Social sentiment is noisy: Retail sentiment signals from social media are subject to manipulation and herding; weight them less than survey or options data.
- No sentiment indicator prevents losses: Every sentiment signal has failed during sustained trends. Position sizing and stops remain essential even when a sentiment setup looks compelling.
Curriculum
Guides
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How Sentiment Indicators Work
Sentiment as a secondary input: why crowd psychology creates extremes, the contrarian and trend-following cases, and how to avoid sentiment anchoring.
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Put/Call Ratio and Options Sentiment
Equity vs index put/call ratios, how to read spikes as fear vs hedging, skew as a fear premium measure, and volatility term structure signals.
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Short Interest and Days-to-Cover
How short interest is reported, days-to-cover as a squeeze risk proxy, short squeeze dynamics, and borrow rate as a conviction signal.
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Insider Buying and Selling Signals
SEC Form 4 filings, why insider buying outperforms insider selling as a signal, cluster buying, and filtering non-informative transactions.
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Institutional Fund Flows and Positioning
13F filings, ETF flow data, CFTC Commitment of Traders reports, and using professional positioning as sentiment inputs.
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AAII and Investor Surveys as Contrarian Signals
The AAII Investor Sentiment Survey, Investors Intelligence, historical accuracy, and lead times at extremes.
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Social Sentiment and Retail Activity Signals
Reddit/WallStreetBets, unusual options activity, meme stock mechanics, and monitoring retail signals without being captured by them.
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Combining Sentiment with Price Action
How extreme bearish sentiment plus price support creates higher-probability setups vs sentiment alone; avoiding the falling knife trap in downtrends.
Interactive Tools
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Sentiment Dashboard
A composite dashboard displaying synthetic fear/greed indicators, put/call ratio zones, and short interest signals to build a multi-factor sentiment view.
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Contrarian Signal Tracker
Enter current sentiment readings (AAII bearish %, put/call ratio, short interest %) and score the composite against historical extremes to identify contrarian setups.
FAQ
What is market sentiment analysis?
Market sentiment analysis measures the aggregate mood of market participants — whether investors are broadly fearful or greedy, over-hedged or under-hedged, bullish or bearish — and uses that reading as a secondary input to price action. Sentiment indicators include put/call ratios, AAII survey readings, short interest, fund flow data, options skew, and social media activity.
Is market sentiment a contrarian or trend-following signal?
It depends on the indicator and the degree of extreme. At clear extremes — AAII bearish readings above 50%, put/call ratios above 1.2, or Fear & Greed below 20 — sentiment tends to be a contrarian signal because it marks exhaustion. Between extremes it can simply reflect the existing trend. Context from price action and the broader macro environment is always required before acting on a sentiment reading alone.
How do you read the put/call ratio?
The equity put/call ratio measures the number of put options traded relative to calls. A ratio above 1.0 means more puts are being bought, signaling fear or demand for downside protection. Spikes above 1.2–1.3 often appear near short-term market bottoms. A ratio below 0.6 indicates complacency or speculative call buying and has historically appeared near short-term tops. The CBOE total put/call and equity-only put/call ratios give slightly different readings because the total includes index options that institutions use for portfolio hedging.
What is the AAII Investor Sentiment Survey?
The American Association of Individual Investors (AAII) surveys its members weekly on whether they are bullish, bearish, or neutral on stocks over the next six months. Historically, when bullish respondents exceed 55% or bearish respondents exceed 50%, the reading is used as a contrarian signal. Lead times vary from weeks to months, so the survey is most useful in combination with price action and other sentiment indicators rather than as a standalone timing tool.
What is short interest and why does it matter?
Short interest is the number of shares sold short but not yet covered, expressed as a percentage of float. High short interest signals bearish conviction but also creates a potential short squeeze: if the stock rises and short sellers must buy to cover losses, that buying can amplify the upside move. Days-to-cover (short interest divided by average daily volume) measures how long it would take shorts to exit at current volume, and a high reading increases squeeze risk.
How should sentiment indicators be combined with price action?
The highest-probability setups pair an extreme sentiment reading with confirming price evidence — for example, extreme bearish sentiment plus a price holding above a key support level suggests exhaustion and potential reversal. Using sentiment alone, without confirmation that selling is actually slowing, can lead to buying into a falling trend. The discipline is to require both the sentiment signal and price confirmation before acting.