History · 3 years
Overview · Sentiment index · updated daily
About the S&P 500 Sentiment
AI-driven fear and greed index for the S&P 500 - measuring broad US equity risk appetite, recession probability sentiment, earnings revision commentary, and macro event-driven positioning.
Equity sentiment readings are most actionable at the extremes and around earnings cycles. Awareness surges that are not matched by Sentiment moves often precede sharp directional breaks. Single-stock indicators are best read in conjunction with the broader S&P 500 Sentiment to isolate idiosyncratic versus macro-driven moves.
Key drivers
- Earnings estimates and revision trends
- VIX and options skew
- Sector rotation and fund flow data
- Macro data beats / misses relative to consensus
- Short interest and positioning reports
Reading the Sentiment scale
- 0-20Extreme FearCoverage dominated by risk-aversion signals; narrative heavily skewed toward fear conditions.
- 21-40FearBelow-neutral conditions with cautious market positioning; optimism subdued relative to the 30-day baseline.
- 41-60NeutralBalanced coverage with no clear directional bias. Market is in a wait-and-see posture, awaiting a catalyst.
- 61-80Now · 79GreedPositive momentum building in the narrative; coverage tilting toward greed catalysts and upside scenarios.
- 81-100Extreme GreedElevated risk of mean-reversion. Watch for sentiment exhaustion signals and divergence from the Awareness score.
How to use this index
- Use the Sentiment score to gauge the prevailing narrative bias for S&P 500 at a glance.
- The Awareness score flags unusual spikes in coverage - early-warning signals that often precede price moves.
- Extreme readings (0-20 or 81-100) historically mark periods of heightened volatility and potential reversals.
- Compare across related topics to find cross-asset divergences and correlation breakdowns.
- Pro subscribers can view 3 years of history to calibrate thresholds against past market regimes.
This index is frequently referenced alongside sp500 trade signals, spy outlook, ai equity trade signals, s&p 500 analysis, alternative data equities - helping traders and analysts track S&P 500 sentiment shifts in real time.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the S&P 500 index?
The S&P 500 Fear and Greed Index is a market sentiment indicator designed to measure investor emotions in the stock market, ranging from extreme fear to extreme greed. This unique index uses data from over 4,500 financial news outlets, market reports, and social media channels, offering a comprehensive view of how investors feel about the stock market at any given time.
Each day, the index processes millions of data points, leveraging AI-driven sentiment analysis to evaluate stock market trends, economic indicators, corporate earnings, and social media sentiment. By analyzing these data sources, it provides real-time insights into whether the market is driven by fear (caution) or greed (optimism), which can influence stock prices and market volatility.
The S&P 500 Fear and Greed Index helps investors, traders, and financial professionals understand market sentiment, track potential stock market bubbles, and predict price corrections. By assessing whether the market is overly optimistic or fearful, investors can make more informed decisions about when to buy, sell, or hold their positions.
How is the S&P 500 index calculated?
The S&P 500 index is derived from AI-powered NLP analysis of thousands of online news sources, blogs, and financial commentary. Sentiment scores range from 0 (Extreme Fear) to 100 (Extreme Greed), where 50 represents neutral conditions. Awareness scores capture the volume and breadth of coverage for this topic across the media landscape.
How often is the S&P 500 index updated?
The underlying data pipeline runs once per day. However, the gauge and score displayed on this page reflect a processed snapshot that may be 3–24 hours behind real-time, depending on the topic's update cadence and how quickly new data clears the processing pipeline. The exact timestamp of the data shown is visible in the gauge footer - hover the info icon to see it in your local time.
Why does the gauge show data from a few hours ago?
The gauge reflects a processed data snapshot, not a live feed. Depending on the topic, displayed values can be 3–24 hours behind real-time - fast-moving topics (crypto, equities) update more frequently, while slower-cycle topics (macro, real estate, geopolitics) may have a longer lag. The precise data timestamp is always visible in the gauge footer: hover the info icon to see it in your local time.
Why use sentiment analysis?
Sentiment uses natural language processing to analyze and quantify investors' opinions, which is different from traditional indicators like volatility (VIX), volume, or price trends. This gives you an edge over others who rely solely on price-based data.
How to interpret the figures?
The gauges show the latest indicator percentiles for the last two quarters. Values above 50 mean an upward trend, while below 50 means a downward trend. A reading above 70% signals greed, and below 30% signals fear. When price and sentiment trends diverge, it's a strong sign the trend will continue.
What does awareness represent?
Besides sentiment, we also provide a measurement of awareness - an indicator of media activity expressed as a ratio of topic-dedicated data compared to the total. Values over 50 indicate an increasing media trend and growing investors' interest; less than 50 signals decreasing attention.
What is sentiment analysis and why measure it?
Sentiment analysis is a way to determine whether a piece of text is positive, negative, or neutral. It helps understand how people feel about a topic or product, which is very important for investment, revenue management, and gauging public opinion. It adds important data points to the decision process and is valuable input for many statistical and AI models.
What are some of the key data characteristics?
Raw signals are gathered from proprietary sources covering over 50,000 outlets and ingested every 15 minutes. Processed gauge readings are derived from these signals but are displayed with a delay of 3–24 hours depending on the topic - the exact data timestamp is always shown in the gauge footer. The platform includes 5 years of history, supports 72 languages, and processes over 1 million unique entries daily. Adalytica maintains over 99.5% uptime across all products and data services.
Who benefits the most from the sentiment data?
The products are widely used across various industries, including finance, real estate, cryptocurrency, commodities, and government. They provide tailored insights for tasks like tracking voter sentiment, optimizing investment strategies, or monitoring brand perception. We offer products that are tailored for both beginners and advanced data professionals.