Coffee Market Sentiment
Overview · Sentiment index · updated daily
About the Coffee Market Sentiment
AI-based analysis of global coffee market sentiment - capturing Brazilian and Vietnamese crop condition commentary, roaster cost discussions, and consumer price sensitivity trends.
Commodity sentiment is driven by the intersection of supply narratives and macro demand signals. Awareness readings are particularly useful here because supply disruptions generate media coverage before they impact price discovery. A high-Awareness / low-Sentiment combination often signals a contested supply narrative without clear directional resolution.
Key drivers
- Supply disruption and production reports (OPEC, USDA, EIA)
- USD strength (inverse relationship for dollar-denominated commodities)
- Global manufacturing PMI and industrial demand data
- Seasonal demand patterns and inventory cycles
- Geopolitical risks affecting supply chains
Reading the Sentiment scale
- 0-20Now · 14Extreme BearishOverwhelmingly bearish; often a washed-out, contrarian zone.
- 21-40BearishCoverage leans toward falling prices.
- 41-60NeutralNo directional consensus.
- 61-80BullishCoverage leans toward rising prices.
- 81-100Extreme BullishCrowded bullish consensus; vulnerable to a reversal.
How to use this index
- Use the Sentiment score to gauge the prevailing narrative bias for Coffee 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 coffee trade signals, coffee market outlook, trader trade signals coffee, ai coffee analysis, coffee price trade signals - helping traders and analysts track Coffee sentiment shifts in real time.
Latest news
Coffee in the news
The headlines feeding this index, newest first.
Italy inflation rises as food and coffee prices climb
Italy’s cost of living is climbing again, and even seasonal foods and an everyday espresso are showing the strain as October inflation jumped to 5.4% while first-frost produce in Venice sells for as much as 30 euros a kilo and bar coffee rises above 1.50 euros. The squeeze matters because prices are rising faster than the economy can grow: Italian GDP barely moved in the third quarter, leaving households with less room to absorb higher food, energy and service costs.
Read moreRussia instant coffee standard may raise prices
Russia’s new state standard for instant coffee, due to take effect on Nov. 1, 2026, is set to formalize what can be sold as coffee, potentially raising compliance costs for roasters and importers and pushing up shelf prices for consumers.
Read moreVietnam coffee prices near 90,000 dong as harvest starts
Vietnamese coffee prices are edging back toward the 90,000 dong a kilogram mark as the new harvest gathers pace, even after global futures steadied, underscoring how near-term supply is still shaping the country’s domestic market more than the broader international rebound.
Read moreSwedish Travelers Face Higher Costs Abroad
Swedish families heading abroad for the autumn break are facing a noticeably more expensive trip this year, with the weaker krona and local inflation at popular destinations cutting purchasing power across all of the 12 places tracked by Länsförsäkringar.
Read moreAustria Sells Brunalm Ski Resort for 2 Euros
Austrian officials are effectively giving away a mountain ski resort for 2 euros, but the real story is not the bargain price — it is the growing cost of keeping smaller winter tourism assets alive.
Read moreBrazil coffee auction sets record in Tokyo
A Minas Gerais coffee grower has set a new Brazilian auction record after a Japanese buyer paid R$ 2,200 a kilo for a 10-kilo lot of geisha coffee, underscoring how top-end specialty beans can fetch prices far above the broader market even as global coffee trading remains volatile.
Read moreCoffee futures rise 8.8% in weekly rebound
Coffee futures edged higher to 316.15 pounds in morning trade on Wednesday, extending a rebound that has left the market up 8.79% over the past week and 8.25% over the last 30 days.
Read moreSouth Korea dairy shifts from white milk to brands
White milk is no longer the business that can carry South Korea’s dairy industry, and the shift is forcing producers to rethink a model built on volume, not just taste. Per-capita white milk consumption fell to 22.9 kilograms last year, the lowest since the late 1980s, as low birth rates, cheap imported UHT milk and a surge in plant-based drinks erode the category’s once-reliable base.
Read moreGreek coffee prices push consumers to brew at home
Greek consumers are cutting back on coffee bought out and turning to home brews as higher prices make one of the country’s most routine purchases feel increasingly discretionary.
Read moreVietnam coffee exports rise as prices fall
Vietnam’s coffee exporters are shipping more beans than ever, but they are earning less for each tonne — a reminder that volume growth alone does not guarantee bigger profits.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Coffee index?
AI-based analysis of global coffee market sentiment - capturing Brazilian and Vietnamese crop condition commentary, roaster cost discussions, and consumer price sensitivity trends.
How is the Coffee index calculated?
The Coffee index is derived from AI-powered NLP analysis of thousands of online news sources, blogs, and financial commentary. Sentiment scores range from 0 (Extreme Bearish) to 100 (Extreme Bullish), 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 Coffee 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.