History · 3 years
Overview · Sentiment index · updated daily
About the Wheat Market Sentiment
Alternative data signal measuring wheat market sentiment - tracking geopolitical supply disruptions, Black Sea export flow commentary, and global food security narratives impacting price dynamics.
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 BearishCoverage dominated by risk-aversion signals; narrative heavily skewed toward bearish conditions.
- 21-40BearishBelow-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 · 67BullishPositive momentum building in the narrative; coverage tilting toward bullish catalysts and upside scenarios.
- 81-100Extreme BullishElevated 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 Wheat 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 wheat trade signals, wheat market outlook, ai wheat analysis, trader trade signals wheat, grain market trade signals - helping traders and analysts track Wheat sentiment shifts in real time.
Latest news
Wheat in the news
The headlines feeding this index, newest first.
Egypt says wheat reserves cover over six months
Egypt says its wheat reserves now cover more than six months of demand, a buffer that helps shield the country’s bread subsidy system from the latest surge in global grain prices and Black Sea supply disruptions.
Read moreChina boosts Russian wheat imports in 2026
China sharply increased imports of Russian wheat in January-August 2026, buying $17.6 million worth of the grain, seven times more than a year earlier, in a sign that geopolitical realignment is starting to reshape global agricultural trade.
Read moreHaryana to distribute 12 kg millet and 23 kg wheat
Haryana will begin distributing 12 kg of millet along with 23 kg of wheat to ration card holders from October, a move that eases food costs for low-income households while also creating a guaranteed market for local grain producers.
Read moreGeneral Mills, Conagra, B&G Foods Fall on Flour Fears
Growing concern over adulterated wheat flour is steering more consumers toward grinding wheat at home, a shift that is modest for packaged-food makers but meaningful for the wider grocery chain because it reflects a deeper loss of trust in everyday staples.
Read moreFAO Food Prices Hit Highest Since November 2022
Global food prices have climbed to their highest level since November 2022, a warning sign for inflation, import bills and consumer spending just as climate shocks and Black Sea disruptions tighten agricultural supply.
Read moreKazakhstan grain stocks rise as exports increase
Kazakhstan is entering the final stretch of its harvest with a large domestic grain pile and faster exports, underscoring the country’s role as a regional supplier even as farm finances remain strained.
Read moreWheat Futures Slip as China Buys More Russian Grain
Wheat futures slipped as traders cut bullish positions, even as China’s rapidly rising purchases of Russian grain are reshaping global trade flows and keeping the market alert to where the next supply shock could emerge.
Read moreWheat Prices Slip as Black Sea Risk Persists
Wheat prices in Europe slipped for a second straight session even as war-related disruption in the Black Sea continued to dominate trading, underscoring how quickly the market is repricing between supply fears and hopes of a diplomatic opening.
Read moreKanpur wholesale market mixed on wheat, pulses, bullion
Kanpur’s wholesale market showed a mixed trend on Friday, with wheat and pulses trading in a broad range while gold and silver held elevated levels, underscoring how local food and bullion prices remain tied to wider commodity volatility.
Read moreRussian university seed coating lifts wheat yields
A Russian university-led seed coating that lifted wheat yields by more than 50% in laboratory and field tests could matter far beyond the lab if it scales, offering farmers a cheaper way to protect germination, curb disease and squeeze more grain out of the same acreage.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Wheat index?
Alternative data signal measuring wheat market sentiment - tracking geopolitical supply disruptions, Black Sea export flow commentary, and global food security narratives impacting price dynamics.
How is the Wheat index calculated?
The Wheat 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 Wheat 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.