History · 3 years
Overview · Sentiment index · updated daily
About the Soybeans Sentiment
Machine-learning signal tracking soybean market sentiment - measuring South American harvest commentary, China import demand, and biofuel demand narratives across agricultural markets.
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.
- 41-60Now · 48NeutralBalanced coverage with no clear directional bias. Market is in a wait-and-see posture, awaiting a catalyst.
- 61-80BullishPositive 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 Soybeans 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 soybeans positioning, soybeans market flows, trader sentiment soybeans, soybeans speculative positions, ai soybeans trading insights - helping traders and analysts track Soybeans sentiment shifts in real time.
Latest news
Soybeans in the news
The headlines feeding this index, newest first.
Maharashtra Soybean Farmers Demand Drought Relief
A drought-driven soybean failure in Tuljapur is turning into a broader economic test for Maharashtra’s farm belt, with growers demanding immediate cash relief, debt waiver and crop insurance payouts after damage spread across 50 villages.
Read moreMaharashtra soybean fields hit by dry spell
MLA Rohit Pawar’s inspection of soybean fields in Kalamb has put a political spotlight on a worsening farm crisis in Maharashtra, where a prolonged dry spell is now wiping out crops and threatening rural incomes across Marathwada.
Read moreParaná Soybean Planting Accelerates After Recent Rains
Soybean planting is accelerating in Paraná after recent rains improved soil moisture and gave farmers a better window for fieldwork, a welcome shift for one of Brazil’s key farm states.
Read moreMaharashtra drought worsens crop losses and relief push
A 45-day break in rain has pushed farmers in Kannad, in Maharashtra’s drought-hit Marathwada region, into a worsening crop and fodder crisis that is now feeding into a broader state relief push.
Read moreParaguay Soy Crop Seen Above 12 Million Tons
Paraguay’s soybean crop is on track to top 12 million tons in the 2026/27 season, but growers say a colder-than-normal start to planting and a sharply stronger guaraní against the dollar are clouding the outlook for the country’s biggest export crop.
Read moreBangladesh soybean oil shortage lifts Dhaka food prices
Bottled soybean oil is still hard to find in Dhaka, and that supply squeeze is rippling through household food budgets as flour and refined flour prices climb in the capital’s retail markets.
Read moreIndonesia soybean pipeline aims to cut imports
Indonesia is taking a more practical swing at a long-running food-security problem: building a domestic soybean pipeline that could cut import dependence in as little as three to four years.
Read moreSoybean Futures Fall After USDA Report
Chicago soybean futures slipped further after the latest USDA report, underscoring a market that is still digesting a more comfortable supply outlook even as corn prices have steadied.
Read moreIndia starts groundnut and soybean procurement
Farmers can start registering today to sell groundnut, urad, mung and soybean at subsidized prices, a policy move aimed at supporting farm incomes and clearing supplies from the market at a time when edible oilseed and pulse prices remain under pressure.
Read moreIndia oilmeal exports fall on weak soybean meal
India’s oilmeal exports fell in the first quarter as a sharp drop in soybean meal shipments erased gains in rapeseed meal, underscoring how pricing gaps with South American suppliers and strong domestic demand are squeezing one of the country’s key agricultural export streams.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Soybeans index?
Machine-learning signal tracking soybean market sentiment - measuring South American harvest commentary, China import demand, and biofuel demand narratives across agricultural markets.
How is the Soybeans index calculated?
The Soybeans 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 Soybeans 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.