History · 3 years
Overview · Sentiment index · updated daily
About the Cotton Sentiment
AI-driven analysis of cotton market sentiment - capturing US crop condition commentary, textile demand narratives, and synthetic fiber substitution trends in apparel 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
- 0-20Now · 11Extreme 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.
- 61-80BullishPositive 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 Cotton 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 cotton positioning, cotton market flows, trader sentiment cotton, cotton speculative positions, ai cotton trading insights - helping traders and analysts track Cotton sentiment shifts in real time.
Latest news
Cotton in the news
The headlines feeding this index, newest first.
Egypt Cotton Shift to Yarn and Apparel
Egypt is moving to keep more of its cotton at home and turn a long-exported raw commodity into higher-margin yarn, fabric and finished apparel, a shift that could reshape the economics of one of the country’s best-known farm products.
Read moreIndia cotton farmers must register for MSP purchases
India is requiring cotton farmers to register on the “Cotton Farmer” mobile app before state procurement begins, a move that will determine who can sell to the Cotton Corporation of India at the guaranteed minimum support price of 8,667 rupees per quintal.
Read morePakistan cotton arrivals rise 19% to 2.389 million bales
Pakistan’s cotton season is off to its strongest start in years, with arrivals at ginning factories rising 19% by Sept. 15 to 2.389 million bales, a jump that is lifting expectations the country could finally top 6 million bales in output this year.
Read moreCOIC Returns to Support Ivory Coast Cotton Campaign
Cotton producers in Sinématiali say the return of the Compagnie ivoirienne de coton’s local operations has prevented a breakdown in the 2026-2027 campaign after seed and input shortages left many farmers unable to plant on time.
Read moreSudan's Al-Rahad Project Starts Cotton Seed Harvest
A rare bright spot has emerged in Sudan’s war-disrupted farm economy as Al-Rahad agricultural project begins harvesting cotton seed that growers and a Chinese partner say is among the best seen since fighting began.
Read moreGreek Cotton Output Rises as Farmgate Prices Lag
Greek cotton producers are heading into 2026 with stronger yields and better fiber quality, but the market is still failing the one test that matters most for farm incomes: price.
Read moreBrazil Offers Cotton Industry Support to Angola
Brazil has said it is ready to help Angola build out its cotton industry, a move that could speed up Luanda’s effort to diversify its economy, create rural jobs and develop an exportable fiber supply chain.
Read moreTurkey Cotton Output Falls, Imports Rise
Turkey’s cotton sector is sliding into a structural deficit that threatens textile margins, farm incomes and the country’s long-held advantage as a regional manufacturing hub.
Read moreIndia upgrades 21 cotton testing laboratories
India has begun a ₹38.72 crore overhaul of 21 cotton testing laboratories as New Delhi tries to shore up quality control in a sector that is losing output, importing more fibre and vying to become a bigger global textile hub.
Read moreIndia cotton and milk sellers protest low prices
Cotton farmers in Madhya Pradesh and milk sellers in nearby Susner are pushing back against falling prices, a reminder that India’s farm economy is under strain even as consumers and traders try to keep buying costs down.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Cotton index?
AI-driven analysis of cotton market sentiment - capturing US crop condition commentary, textile demand narratives, and synthetic fiber substitution trends in apparel markets.
How is the Cotton index calculated?
The Cotton 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 Cotton 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.