History · 3 years
Overview · Sentiment index · updated daily
About the Rice Fear & Greed Index
Alternative data fear and greed signal for rice markets - tracking Asian export restriction narratives, monsoon season commentary, and food security risk sentiment in global discussions.
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
- 0-20Extreme 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.
- 61-80GreedPositive momentum building in the narrative; coverage tilting toward greed catalysts and upside scenarios.
- 81-100Now · 98Extreme 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 Rice 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 rice fear greed index, rice market extremes, trader sentiment rice, bullish bearish rice, ai rice market index - helping traders and analysts track Rice sentiment shifts in real time.
Latest news
Rice in the news
The headlines feeding this index, newest first.
Fonterra lifts 2026/27 milk price forecast to NZ$9.50
Fonterra lifted its forecast farmgate milk price for the 2026/27 season to NZ$9.50 per kilogram of milk solids, a move that should support cash flow for New Zealand dairy farmers and firm sentiment across the sector after recent gains in global dairy auctions.
Read moreBosnia Agriculture Faces Supply Squeeze and Food Inflation
Agriculture in Bosnia and Herzegovina is sliding into a sharper supply squeeze just as fuel prices rebound and the harvest cycle turns to autumn sowing, raising the odds of another round of food inflation that households and policymakers may struggle to contain.
Read moreIndonesia orders Bulog to boost premium rice supply
Indonesia’s food agency has ordered state buyer Bulog to push more premium rice into modern retail outlets, a move aimed at keeping shelves stocked after regulators began scrutinizing rice products suspected of not matching their labels.
Read moreRussia to monitor 24 food prices nationwide
Russia is moving to put 24 of its most politically sensitive food items under detailed state monitoring, a step that could give officials a clearer picture of where price pressure is building — and eventually prepare the ground for tighter intervention if inflation in staples keeps biting consumers.
Read moreChile rice farmers seek carbon credit revenue
Chile’s rice farmers could unlock a new revenue stream from carbon markets if they can prove, certify and sell emissions cuts from more sustainable production methods.
Read moreBulgaria bread prices seen steady on strong grain crop
Bulgaria’s agriculture minister said bread should not see a serious price increase, pointing to a strong grain harvest, state aid for farmers and tighter oversight on unjustified food-price hikes.
Read moreIndonesia food agency flags 25 fortified rice brands
Indonesia’s food agency has identified widespread breaches across 25 fortified rice brands, a move that could force recalls, regulatory tightening and criminal probes in a market where rice remains politically and economically sensitive.
Read moreFaridabad Dabuwa mandi fruit and vegetable prices move
Prices of fruits and vegetables in Faridabad’s Dabuwa mandi are moving sharply with the monsoon, lifting some wholesale rates while keeping others under pressure as arrivals and stock levels change.
Read moreEngland Rice Trial in Cambridgeshire
England is growing rice for the first time in a small trial in Cambridgeshire, a sign that climate change is pushing crops once considered tropical into parts of Britain that were historically too cool and wet for them.
Read moreVietnam Rice Prices Steady as Jasmine Drops
Vietnam’s rice market steadies after a recent slide, but weaker buying and a 6-dollar-per-ton drop in Jasmine export prices show the sector still lacks a clear catalyst for a rebound.
Read moreEmbed
Put this indicator on your site
Add the live gauge to your page, or share it with your audience.
Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Rice index?
Alternative data fear and greed signal for rice markets - tracking Asian export restriction narratives, monsoon season commentary, and food security risk sentiment in global discussions.
How is the Rice index calculated?
The Rice 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 Rice 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.