Soybeans Sentiment
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 BearishOverwhelmingly bearish; often a washed-out, contrarian zone.
- 21-40BearishCoverage leans toward falling prices.
- 41-60NeutralNo directional consensus.
- 61-80Now · 68BullishCoverage leans toward rising prices.
- 81-100Extreme BullishCrowded bullish consensus; vulnerable to a reversal.
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.
Soybean disease AI detects infections before symptoms
A University of Southern Illinois team has built a robot-and-AI system that can detect soybean disease before plants show visible symptoms, a development that could materially reduce crop losses in a market where a late diagnosis can slash yields by 60% to 70%.
Read moreBrazil Soybean Crop Seen at 184 Million Tons
Brazil’s soybean market is facing a less threatening supply picture than some weather-watchers had expected, after a USDA attaché projected the country’s 2026-27 harvest at 184.0 million tons, a forecast that points to continued dominance by the world’s biggest exporter even as climate and price volatility keep traders cautious.
Read moreParbhani Restricts Soybean, Tur Stalks for Fodder
Parbhani’s administration has moved to restrict industrial use of soybean and tur stalks as drought conditions tighten the squeeze on livestock feed across Marathwada, a defensive step that could protect cattle owners but disrupt biomass processors and traders that rely on crop residue.
Read moreThailand approves corn support package for farmers
Thailand has approved 120.3 million baht in four measures to stabilize animal feed corn prices and absorb 200,000 tons from the market, a move aimed at cushioning farmers from a supply glut as the 2026/27 crop comes in.
Read moreIndia soybean crop seen smaller on dry spells
India’s soybean crop is headed for a smaller harvest this season even as farmers planted more acreage, with dry spells in key producing states offsetting the gains from increased sowing and keeping supply expectations tight for the oilseed market.
Read moreTelangana Soybean Prices Rise Above MSP
Soybean farmers in Telangana are getting a rare pricing lift this season as private traders, particularly from Maharashtra, bid above the government’s minimum support price and are buying directly from farmyards, easing a long-standing bottleneck in local procurement.
Read moreMaharashtra orders seed firms to pay soybean farmers
Maharashtra has escalated pressure on seed companies to compensate soybean growers whose crop losses have been formally verified, a move that could shift part of this year’s drought and re-sowing burden from farmers to private suppliers and state-run Mahabeej.
Read morePTPN IV and FKS Foundation Build Banyuwangi Soybean Pipeline
PTPN IV and FKS Foundation are building a small but potentially durable soybean pipeline in Banyuwangi, tying farmer training to a seed-reuse model and a guaranteed offtake plan that could improve local supply security and incomes.
Read moreBrazil Soybean Exports to China Hit July Record
Brazil’s soybean dominance in China deepened in July, underscoring how trade tensions and pricing dynamics are reshaping the global oilseed market and leaving U.S. growers with a shrinking share of the world’s biggest buyer.
Read moreIndia Soybean Output Seen Down 2.11% This Season
India’s soybean crop is still headed for a slight decline this season, but the damage is far smaller than drought conditions would suggest, and that matters for oilseed supplies, farmer incomes and the next move in edible-oil prices. The Soybean Processors Association of India said output should ease just 2.11% to 107.93 lakh tonnes, with stronger harvests in Madhya Pradesh and Rajasthan largely cushioning steep losses in Maharashtra.
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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.