History · 3 years
Overview · Outlook index · updated daily
About the Michigan Consumer Sentiment
Machine-learning tracker for University of Michigan Consumer Sentiment - measuring household financial outlook commentary, inflation expectation sub-index dynamics, and consumer confidence cyclicality signals.
Macro sentiment indicators capture the aggregate narrative bias across economic data releases, not just individual prints. A rising Awareness score alongside deteriorating Sentiment is a classic recession-fear signal. These indicators are best used to track how quickly markets are repricing macro risk, rather than to predict the data itself.
Key drivers
- PMI composite readings (manufacturing + services)
- Consumer confidence surveys (Conference Board, UoM)
- Retail sales and personal spending data
- Leading economic indicators (LEI)
- Labor market health (jobless claims, JOLTS)
Reading the Outlook scale
- 0-20Deeply PessimisticCoverage dominated by risk-aversion signals; narrative heavily skewed toward pessimistic conditions.
- 21-40PessimisticBelow-neutral conditions with cautious market positioning; optimism subdued relative to the 30-day baseline.
- 41-60Now · 43NeutralBalanced coverage with no clear directional bias. Market is in a wait-and-see posture, awaiting a catalyst.
- 61-80OptimisticPositive momentum building in the narrative; coverage tilting toward optimistic catalysts and upside scenarios.
- 81-100Highly OptimisticElevated risk of mean-reversion. Watch for sentiment exhaustion signals and divergence from the Awareness score.
How to use this index
- Use the Outlook score to gauge the prevailing narrative bias for Michigan Sentiment 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 michigan sentiment, consumer confidence outlook, ai macro sentiment, consumer sentiment index, alternative data macro - helping traders and analysts track Michigan Sentiment outlook shifts in real time.
Latest news
Michigan Sentiment in the news
The headlines feeding this index, newest first.
Michigan Consumer Sentiment Falls in September
Michigan consumer sentiment fell more than expected in the preliminary September reading, reinforcing concerns that high prices and a softer labor backdrop are eroding household spending power ahead of the fall shopping season.
Read moreDIA, XLY and XLI weaken as investors rotate defensively
U.S. equities tied to the economy’s cyclical pulse are starting September on a softer footing, with the Dow Jones Industrial Average ETF and consumer- and industrial-focused funds both under pressure as investors reassess growth. The move matters because these sectors tend to lead when confidence in the expansion is intact and lag when traders begin pricing slower spending, tighter margins or weaker factory activity.
Read moreSteady Consumer Supports Quality Retailers
Consumer sentiment in the University of Michigan survey improved in July, but the bigger market message is that households remain far from euphoric even as unemployment stays low and equities push toward record territory. That combination matters because it says the U.S. consumer is not flashing recession, but neither is it signaling the kind of broad-based demand surge that would justify complacency on rates, margins or discretionary spending.
Read moreEmbed
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Michigan Sentiment index?
Machine-learning tracker for University of Michigan Consumer Sentiment - measuring household financial outlook commentary, inflation expectation sub-index dynamics, and consumer confidence cyclicality signals.
How is the Michigan Sentiment index calculated?
The Michigan Sentiment index is derived from AI-powered NLP analysis of thousands of online news sources, blogs, and financial commentary. Sentiment scores range from 0 (Deeply Pessimistic) to 100 (Highly Optimistic), 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 Michigan Sentiment 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.