Rice Fear & Greed Index
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
- 0-20Now · 7Extreme FearPanic-driven coverage; capitulation zone where rebounds often start.
- 21-40FearCaution dominates; buyers are hesitant.
- 41-60NeutralBalanced coverage; waiting for a catalyst.
- 61-80GreedOptimism building; momentum-driven coverage.
- 81-100Extreme GreedEuphoric coverage; pullback risk is high.
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.
Bulgaria wholesale food prices rise as vegetables climb
Bulgaria’s wholesale food market turned mixed this week, with most vegetables getting more expensive even as several basic staples, dairy products and cooking inputs declined, a sign that household food bills remain under pressure but are not moving in a straight line.
Read moreEgypt Food Prices Rise on Pound Weakness
Egyptian consumers are facing fresh food inflation as the prices of cooking oils, industrial ghee, rice, flour and lentils moved higher, with traders and retailers pointing to a weaker pound, rising import costs and firmer global commodity prices.
Read moreIndia Rice Exports Lift Food Security Concerns
India’s dominance in the global rice trade is becoming more than a farm-story statistic — it is a market-moving reality for food inflation, shipping costs and import-dependent countries that rely on steady supplies. With Indian industry officials saying the country now accounts for about 40% of global rice exports, the message from the Bharat International Rice Conference is clear: when India’s rice flows, a big part of the world’s food security moves with it.
Read moreJapan Claw Machines Sell Eggs, Rice and Toilet Paper
Japanese households are turning claw machines into a way to buy eggs, rice and toilet paper, a small but telling sign that persistent inflation is changing how consumers behave and how retailers compete for traffic.
Read moreKarnataka rice prices near Rs 100 a kg
Rice prices in Karnataka are moving toward Rs 100 a kilogram as drought and erratic monsoon rains curb paddy output, tightening supply for households, restaurants and traders in one of India’s major staple markets.
Read moreNigeria jollof rice costs fall on cheaper chicken
Nigerian households are finally catching a break at the dinner table, and the biggest relief is coming from cheaper chicken.
Read moreIndia Feed Costs Rise as Drought Hits Poultry, Dairy
Poultry farmers are facing a sharp jump in feed costs as drought and higher corn prices squeeze supplies, raising the odds that eggs, chicken and milk get more expensive for households already strained by inflation.
Read moreIndonesia says rice stock covers demand until 2027
Indonesia’s government is telling markets it has enough rice to cover domestic demand until July 2027, a claim that underscores how central food security has become to President Prabowo Subianto’s economic agenda and how much political capital Jakarta is putting behind staple-price stability.
Read moreIndia Food Inflation Risk Rises on Weak Monsoon
India’s deficient monsoon and falling reservoir levels are reviving the risk of food inflation, with wheat, pulses and vegetables most exposed if water shortages curb rabi sowing and yields. For households already facing elevated grocery bills, the concern is that an initially weather-driven supply squeeze could spread into broader inflation pressures over the coming months.
Read moreBolivia Food Prices Rise in Santa Cruz Markets
Rice is now selling from Bs 9 in Santa Cruz markets, a reminder that the pressure on household budgets is moving beyond a single product and into the core of Bolivia’s daily food basket.
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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.