History · 3 years
Overview · Sentiment index · updated daily
About the Corn Fear & Greed Index
AI-driven fear and greed signal for corn markets - capturing US planting intention commentary, ethanol demand discussions, and weather-driven supply risk in agricultural sentiment.
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.
- 61-80Now · 68GreedPositive momentum building in the narrative; coverage tilting toward greed catalysts and upside scenarios.
- 81-100Extreme 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 Corn 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 corn fear greed index, corn market extremes, trader sentiment corn, bullish bearish corn, ai corn market index - helping traders and analysts track Corn sentiment shifts in real time.
Latest news
Corn in the news
The headlines feeding this index, newest first.
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Read morePakistan food inflation viral vegetable prices
A viral video from Pakistan’s Bahawalpur mandi is drawing attention to food inflation after traders quoted prices of as much as 2,000 rupees for peas, underscoring how expensive basic vegetables have become for households already under pressure from broader price rises.
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The Sonalika 745 RX III Sikander is priced between ₹6.78 lakh and ₹7.42 lakh, and that matters because the tractor market in India is still a business of value, fuel efficiency and rugged utility rather than glamour.
Read moreCatalonia grape prices fall below production costs
The 2026 grape harvest is colliding with a pricing dispute that threatens vineyard margins across key wine regions, as growers say the crop will not be the problem this year — the price paid per kilo will.
Read moreFabio Produkt expands farmland to cut oil cost swings
A weaker harvest is feeding through to higher edible-oil prices, and Fabio Produkt, the family company behind Manka, is responding by seeking to expand its own land base to reduce its dependence on volatile crop markets.
Read moreTurkey Muğla Silage Corn Producers Get Training
Silage corn producers in Muğla’s Menteşe district are getting hands-on training after a subsidy-backed seed program, part of a broader effort to lift forage quality and livestock productivity at a time when global corn supplies remain under weather pressure.
Read moreSeoul housing gains shift to outer districts
Seoul’s longest house-price run in decades is starting to split, with Gangnam easing while demand driven by rent stress and tighter credit is pushing cheaper districts such as Seongbuk to fresh highs.
Read moreVietnam pepper exports rise as prices stay high
Vietnam’s pepper market is stable at historically elevated prices, but the bigger economic story is that export volumes are still rising while the industry struggles to move up the value chain.
Read moreSinop maralfalfa harvest points to higher forage yields
Sinop’s first maralfalfa harvest is pointing to a potentially sharp increase in forage output, a development that could ease livestock feed costs in a province where silage corn typically yields just 5 to 6 tons per dekar.
Read moreMuzaffarnagar farmers seek higher cane price, power reform
Farmers gathered in Muzaffarnagar under the Bharatiya Kisan Union’s banner on Thursday night to press for a sharp increase in sugarcane support prices and wider electricity reforms, turning a local mahapanchayat into a test of rural political pressure on Uttar Pradesh’s agrarian economy.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Corn index?
AI-driven fear and greed signal for corn markets - capturing US planting intention commentary, ethanol demand discussions, and weather-driven supply risk in agricultural sentiment.
How is the Corn index calculated?
The Corn 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 Corn 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.