History · 3 years
Overview · Mood index · updated daily
About the Food and Grocery Spending Sentiment
Machine-learning signal measuring household food and grocery spending sentiment - tracking inflation stress, trading-down behavior, and shifts in brand preference under cost pressure.
Consumer sentiment indicators track narrative shifts across spending categories, not just headline retail data. Category-level Awareness spikes often precede sector earnings revisions by four to six weeks as analyst coverage catches up to on-the-ground sentiment shifts. Sentiment divergences across related categories (e.g., healthcare rising, discretionary falling) can signal income-squeeze dynamics.
Key drivers
- Retail sales reports (headline and core)
- Consumer confidence surveys
- Wage growth and disposable income data
- Credit card spending and delinquency trends
- Inflation pass-through commentary and pricing power signals
Reading the Mood scale
- 0-20Severely StressedCoverage dominated by risk-aversion signals; narrative heavily skewed toward stressed conditions.
- 21-40StressedBelow-neutral conditions with cautious market positioning; optimism subdued relative to the 30-day baseline.
- 41-60StableBalanced coverage with no clear directional bias. Market is in a wait-and-see posture, awaiting a catalyst.
- 61-80Now · 74ConfidentPositive momentum building in the narrative; coverage tilting toward confident catalysts and upside scenarios.
- 81-100Very ConfidentElevated risk of mean-reversion. Watch for sentiment exhaustion signals and divergence from the Awareness score.
How to use this index
- Use the Mood score to gauge the prevailing narrative bias for Food & Groceries 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 grocery spending sentiment, food price sentiment, ai household sentiment, internet grocery trends, alternative data essentials - helping traders and analysts track Food & Groceries mood shifts in real time.
Latest news
Food & Groceries in the news
The headlines feeding this index, newest first.
Grocery inflation drives value shopping at Walmart
Households are still looking for ways to blunt grocery inflation, and that is keeping the fight over price, promotions and waste at the center of the food retail business.
Read moreKroger Faces Pricing Allegations and Margin Risk
Kroger is facing fresh pressure over pricing practices just as consumers remain highly sensitive to grocery bills and regulators lean harder into affordability, a combination that raises reputational, legal and margin risks for the Ohio-based supermarket giant.
Read moreLabour plans grocery wholesale split for Foodstuffs
Labour says it will force Foodstuffs and Woolworths to separate their wholesale arms from retail stores if elected in November, a direct challenge to New Zealand’s grocery duopoly that the party says would lower costs for smaller grocers and sharpen price competition.
Read moreCaritas Geneva store shows food affordability strain
In a Caritas grocery store in Geneva, the bargain prices tell a wider economic story: poverty is increasingly defined by access, nutrition and dignity, not just by the size of a pay packet.
Read moreThomaston residents move to buy grocery store
Thomaston residents are moving to buy the town’s only grocery store, a bid to preserve a critical source of food access, jobs and downtown foot traffic in a small Maine community that could otherwise lose a long-running local anchor.
Read moreThomaston Grocery bought by community nonprofit
A community development nonprofit in Thomaston, Maine, has closed on the purchase of Thomaston Grocery and the 1874 Main Street building it occupies, ending months of uncertainty over the downtown market and setting up a test of whether local ownership can keep a small-town grocery financially viable.
Read moreNew Zealand supermarkets face breakup push
New Zealand’s election is being fought at the checkout, and that matters because the country’s biggest grocery chains are now at the center of a political push that could reshape pricing, competition and investment returns for years.
Read moreFood insecurity pressure hits grocery retailers
Grocery store workers are stepping into the fight against food insecurity just as pressure on household budgets and food-aid networks is intensifying, turning a labor and community issue into a broader retail and consumer story.
Read moreCostco, Walmart, Kroger and organic grocery margins
If you’re paying more for organic groceries, you’re not just buying a cleaner label — you’re buying a supply chain that has become harder to source, harder to process and harder to keep affordable.
Read moreWalmart, Costco, Kroger Gain as Shoppers Trade Down
Food prices are still a political talking point, but the market’s more important message is that grocery stores have become one of America’s clearest free-market success stories.
Read moreEmbed
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Food & Groceries index?
Machine-learning signal measuring household food and grocery spending sentiment - tracking inflation stress, trading-down behavior, and shifts in brand preference under cost pressure.
How is the Food & Groceries index calculated?
The Food & Groceries index is derived from AI-powered NLP analysis of thousands of online news sources, blogs, and financial commentary. Sentiment scores range from 0 (Severely Stressed) to 100 (Very Confident), where 50 represents stable conditions. Awareness scores capture the volume and breadth of coverage for this topic across the media landscape.
How often is the Food & Groceries 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.