Sentiment Indicators and Positioning Data
Crowd psychology moves markets at extremes. When everyone is bullish, who is left to buy? When pessimism reaches a crescendo, selling pressure exhausts itself. Sentiment indicators quantify these psychological states, providing contrarian signals when readings reach extremes. This article covers the major sentiment measures, how to interpret them, and how to avoid their common pitfalls.
The Logic of Sentiment Analysis
Sentiment analysis rests on a contrarian premise: extreme optimism precedes tops, and extreme pessimism precedes bottoms.
Why this works:
| Sentiment Extreme | Market Condition | Mechanism |
|---|---|---|
| Extreme bullishness | Late bull market | Most buyers already invested; marginal sellers |
| Extreme bearishness | Late bear market | Most sellers already sold; marginal buyers |
Important caveats:
- Extremes can persist. Sentiment can remain bullish for months during strong trends.
- Sentiment works better at bottoms than tops. Fear is a sharper emotion than greed.
- Sentiment alone is not a timing tool. Combine with price action and other indicators.
AAII and Investors Intelligence Surveys
Survey-based sentiment measures ask investors directly about their outlook.
AAII Investor Sentiment Survey
The American Association of Individual Investors surveys members weekly on their 6-month stock market outlook.
| Reading | Bullish % | Interpretation |
|---|---|---|
| Extreme optimism | Above 55% | Contrarian bearish |
| Elevated optimism | 45-55% | Cautious |
| Neutral | 35-45% | No signal |
| Elevated pessimism | 25-35% | Cautious bullish |
| Extreme pessimism | Below 25% | Contrarian bullish |
Historical context:
- Long-term average: 37.5% bullish
- 2000 peak: 75% bullish (January 2000)
- 2009 bottom: 18.9% bullish (March 2009)
- 2020 bottom: 20.3% bullish (March 2020)
Bull-Bear Spread:
The difference between bullish and bearish respondents provides a cleaner signal:
| Bull-Bear Spread | Signal |
|---|---|
| Above +30% | Extreme bullishness (contrarian sell) |
| Above +20% | Elevated optimism |
| -10% to +10% | Neutral |
| Below -20% | Elevated pessimism |
| Below -30% | Extreme bearishness (contrarian buy) |
Investors Intelligence Survey
This survey tracks investment newsletter writers rather than individual investors.
| Metric | Bullish Extreme | Bearish Extreme |
|---|---|---|
| Bulls % | Above 60% | Below 35% |
| Bears % | Below 15% | Above 40% |
| Bull/Bear ratio | Above 4.0x | Below 1.0x |
Why newsletter writers matter: They influence their subscribers' behavior and are themselves reactive to recent market moves. When nearly all newsletters are bullish, their readers are likely fully invested.
Survey limitations:
- Surveys measure stated sentiment, not actual positioning
- Respondents may have different definitions of "bullish" or "bearish"
- Retail sentiment may not reflect institutional positioning
- Weekly surveys introduce timing imprecision
Put-Call Ratios and Options Market Signals
Options markets provide real-money sentiment signals. Traders back their opinions with capital.
CBOE Equity Put-Call Ratio
This ratio measures put volume divided by call volume.
| Put-Call Ratio | Interpretation |
|---|---|
| Above 1.0 | Elevated fear (more puts than calls) |
| 0.8 - 1.0 | Cautious |
| 0.6 - 0.8 | Neutral to optimistic |
| Below 0.6 | Complacency/extreme optimism |
Smoothing matters: Daily readings are noisy. Use 5-day or 10-day moving averages.
| 10-Day Moving Average | Signal |
|---|---|
| Above 0.95 | Extreme fear (contrarian bullish) |
| 0.80 - 0.95 | Elevated caution |
| 0.60 - 0.80 | Normal range |
| Below 0.55 | Extreme complacency (contrarian bearish) |
Historical extremes:
| Event | Put-Call 10-Day MA | Outcome |
|---|---|---|
| March 2020 | 1.28 | Marked exact bottom |
| October 2008 | 1.35 | Near bottom (not exact) |
| January 2018 | 0.48 | Preceded 10% correction |
VIX Term Structure
The VIX measures expected S&P 500 volatility over 30 days. The term structure (comparing near-term versus longer-term VIX futures) reveals positioning.
| Term Structure | Condition | Interpretation |
|---|---|---|
| Contango | VIX futures > VIX spot | Normal; steady or rising markets |
| Backwardation | VIX futures < VIX spot | Fear elevated; demand for near-term protection |
VIX level interpretation:
| VIX Level | Market Condition |
|---|---|
| Below 12 | Extreme complacency |
| 12-17 | Normal calm |
| 17-25 | Elevated uncertainty |
| 25-35 | High fear |
| Above 35 | Panic conditions |
VIX spikes and opportunities:
| VIX Spike | Event | S&P 500 Forward Return |
|---|---|---|
| 80.9 | March 2020 | +68% (12 months) |
| 59.9 | October 2008 | +23% (12 months) |
| 37.3 | August 2015 | +12% (12 months) |
| 50.3 | February 2018 | +8% (12 months) |
Interpretation: VIX spikes above 35-40 historically mark excellent intermediate-term buying opportunities. However, timing the exact bottom is difficult.
COT Report for Futures Positioning
The Commitment of Traders (COT) report reveals positioning in futures markets by trader category.
Understanding trader categories:
| Category | Who They Are | Their Tendency |
|---|---|---|
| Commercial | Hedgers (companies with physical exposure) | Smart money at extremes |
| Large Speculators | Hedge funds, CTAs | Trend followers, often wrong at extremes |
| Small Speculators | Retail traders | Often wrong at extremes |
S&P 500 Futures Positioning:
| Large Speculator Position | Interpretation |
|---|---|
| Extreme net long | Crowded bullish; contrarian bearish |
| Moderate net long | Normal bullish positioning |
| Neutral | No strong directional bias |
| Moderate net short | Skeptical positioning |
| Extreme net short | Crowded bearish; contrarian bullish |
What defines "extreme":
Look at historical percentiles:
- Above 90th percentile (net long): Extreme bullishness
- Below 10th percentile (net short or low long): Extreme bearishness
COT signals in practice:
| Date | Large Spec Net Position | Market Outcome |
|---|---|---|
| Feb 2020 | Record net long | Preceded 34% crash |
| March 2020 | Near record net short | Preceded 68% rally |
| Jan 2018 | Record net long | Preceded 10% correction |
Accessing COT data:
- CFTC releases data every Friday at 3:30 PM ET
- Data reflects positions as of Tuesday
- Free access at cftc.gov
- Charting at Barchart.com or TradingView
Fund Flow Data Interpretation
Fund flows reveal what investors are actually doing with their money.
Key flow metrics:
| Metric | Source | What It Measures |
|---|---|---|
| ICI mutual fund flows | Investment Company Institute | Weekly equity/bond fund flows |
| ETF flows | Various | Real-time ETF creations/redemptions |
| Bank of America client flows | BofA Research | Institutional and HNW behavior |
| EPFR flows | Proprietary | Global fund flows |
Interpretation framework:
| Flow Pattern | Market Context | Contrarian Signal |
|---|---|---|
| Large inflows after rally | Chasing performance | Cautious (buying high) |
| Large outflows after decline | Panic selling | Bullish (selling low) |
| Persistent outflows during rally | Skepticism | Rally can continue |
| Persistent inflows during decline | Dip buying | Decline may continue |
Historical examples:
| Period | Flow Pattern | Outcome |
|---|---|---|
| March 2009 | Record outflows | Marked exact bottom |
| January 2018 | Record inflows | Preceded correction |
| 2020-2021 | Massive retail inflows | Preceded 2022 bear market |
| 2022 | Persistent outflows | Helped form 2022 bottom |
Money market fund levels:
High money market balances indicate dry powder on the sidelines:
| Money Market Assets | Interpretation |
|---|---|
| Record highs | Cash available to fuel rally |
| Declining | Cash being deployed |
| Low relative to history | Less fuel available |
As of late 2023, money market funds held over $6 trillion, near record levels, suggesting significant cash available for equity allocation.
Contrarian Uses of Sentiment Extremes
Sentiment indicators work best as contrarian signals at extremes, not as trend-following tools.
The contrarian framework:
| Condition | Action |
|---|---|
| 3+ sentiment indicators at bearish extreme | Add equity exposure |
| 3+ sentiment indicators at bullish extreme | Reduce equity exposure |
| Mixed readings | No sentiment-based action |
Combining indicators for signal strength:
| Indicator | Bullish Extreme | Bearish Extreme |
|---|---|---|
| AAII Bull-Bear | Below -25% | Above +30% |
| Put-Call (10d) | Above 0.95 | Below 0.55 |
| VIX | Above 35 | Below 12 |
| Large Spec futures | Extreme net short | Extreme net long |
| Fund flows | Record outflows | Record inflows |
Scoring example:
| Indicator | Current Reading | Score |
|---|---|---|
| AAII Bull-Bear | -18% | 0 (neutral) |
| Put-Call 10d | 0.88 | +1 (elevated fear) |
| VIX | 28 | +1 (elevated fear) |
| Large Spec | 25th percentile | +1 (below average long) |
| Fund flows | Modest outflows | 0 (neutral) |
| Total | +3 |
+3 = moderately bullish sentiment signal (not extreme, but tilted)
March 2020 case study:
| Indicator | March 23, 2020 Reading | Signal |
|---|---|---|
| AAII Bull-Bear | -26% | Extreme bearish |
| Put-Call 10d | 1.28 | Extreme fear |
| VIX | 66 | Panic |
| Large Spec | Near record short | Extreme bearish |
| Fund flows | Record outflows | Capitulation |
| Total | All 5 at extreme | Maximum contrarian buy |
This was as clear a sentiment extreme as exists. The S&P 500 returned 68% over the next year.
Pitfalls and Limitations
Pitfall 1: Acting on moderate readings
Sentiment is only useful at extremes. A put-call ratio of 0.75 or AAII bullish at 42% provides no actionable signal.
Pitfall 2: Ignoring trend
In strong trends, sentiment can remain extreme for extended periods. Bull markets can maintain elevated bullish sentiment for years. Use sentiment with price action, not instead of it.
Pitfall 3: Timing expectations
Sentiment extremes identify conditions, not precise timing. An extreme reading can persist for weeks before price reacts. Build positions over time.
Pitfall 4: Single indicator reliance
One indicator at extreme is suggestive. Three or more at extreme is compelling. Always combine indicators.
Pitfall 5: Ignoring structural changes
Options market structure has changed with the rise of 0DTE (zero days to expiration) trading. Put-call ratios may not mean what they once did. Monitor indicator reliability over time.
Building a Sentiment Dashboard
Weekly monitoring checklist:
| Indicator | Source | Threshold Alert |
|---|---|---|
| AAII Survey | aaii.com | Bull-Bear outside +/-25% |
| Investors Intelligence | investorsintelligence.com | Bulls >60% or Bears >40% |
| CBOE Put-Call (10d MA) | CBOE, calculate | >0.95 or <0.55 |
| VIX | CBOE | >35 or <12 |
| VIX term structure | VIX futures curve | Backwardation |
| COT large speculators | CFTC | 90th or 10th percentile |
| ETF/fund flows | ICI, ETF.com | Multi-week extremes |
Simple scoring system:
Assign +1 for each bearish extreme (contrarian bullish), -1 for each bullish extreme (contrarian bearish), 0 for neutral:
| Score | Interpretation | Action |
|---|---|---|
| +4 to +5 | Extreme bearishness | Strong contrarian buy |
| +2 to +3 | Elevated bearishness | Modest overweight |
| -1 to +1 | Neutral | No sentiment action |
| -2 to -3 | Elevated bullishness | Modest underweight |
| -4 to -5 | Extreme bullishness | Strong contrarian sell |
Monthly review questions:
- Which indicators reached extreme readings?
- Did price action confirm or contradict sentiment signals?
- Are any indicators losing reliability?
- How does current reading compare to prior extremes?
Summary
Sentiment indicators measure market psychology through surveys, options positioning, futures data, and fund flows. Extremes in these measures historically precede reversals: extreme pessimism marks bottoms, extreme optimism marks tops. The AAII and Investors Intelligence surveys provide direct sentiment readings. Put-call ratios and VIX reveal options market fear and complacency. COT reports show futures positioning by trader type. Fund flows reveal what investors are actually doing with their capital. Combine multiple indicators rather than relying on any single measure. Act only on extremes, not moderate readings. Use sentiment as a contrarian overlay to other analysis, not as a standalone timing tool. When three or more indicators reach extreme pessimism simultaneously, history strongly favors adding equity exposure; when they reach extreme optimism, history favors defensive positioning.