Cotton Sentiment
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
- 0-20Extreme BearishOverwhelmingly bearish; often a washed-out, contrarian zone.
- 21-40BearishCoverage leans toward falling prices.
- 41-60Now · 57NeutralNo directional consensus.
- 61-80BullishCoverage 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 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.
Kazakhstan opens two cotton processing plants
Two new cotton processing plants in Kazakhstan’s Turkestan region are a small headline with a much bigger economic meaning: the country is trying to keep more of the cotton value chain at home instead of shipping raw fiber out and importing the profits back in.
Read moreEgypt Cotton Auction Tests Giza 97 Demand
Egypt’s cotton market is set for a closely watched test of demand and pricing as Menoufia governorate prepares to auction 4,585 quintals of Giza 97, a long-staple variety prized by domestic spinners and overseas buyers for its strength and purity.
Read moreTurkey cotton harvest begins in İzmir's Aliağa
Cotton harvesting has begun in İzmir’s Aliağa district, underscoring how Turkey’s “white gold” crop remains a critical test of farm incomes, rural liquidity and the country’s textile supply chain.
Read moreUEMOA Plans 7,000 Billion CFA Farm Investment Push
UEMOA is preparing a seven-year investment push of 7,000 billion CFA francs to expand local processing of cotton, lift fertilizer use and reduce heavy rice imports across West Africa’s franc zone, a program that could reshape food security, farm incomes and industrial supply chains in the region.
Read moreKarimnagar cotton procurement begins in Telangana
Cotton procurement and ginning have begun at the Karimnagar Agricultural Market Committee market, giving farmers in Telangana a formal channel to sell their crop just as India grapples with tight supplies, elevated prices and pressure on textile mills.
Read moreTelangana cotton buying center opens in Degalamadugu
A new cotton buying center has opened in Degalamadugu in Telangana’s Bhadradri Kothagudem district, giving local farmers a formal procurement channel just as the crop faces wider pressure from volatile prices, rising input costs and shifting weather patterns.
Read moreUniqlo cotton sweater drives repeat purchases
Uniqlo’s smooth cotton crewneck sweater is getting repeat purchases and unusually loyal reviews, underscoring how a well-priced basic can still drive demand in a cautious consumer market.
Read moreSyria Hasakah cotton farmers back Aleppo 90 seed
A field day in Syria’s Hasakah province is meant to shore up the case for the local cotton variety “Aleppo 90” at a time when drought, weak seed supplies and poor crop quality are squeezing a strategic sector.
Read moreTelangana cotton prices hit Rs 9,260 in Adilabad
Cotton farmers in Telangana are getting a rare windfall after the Adilabad Agricultural Market Yard recorded a state-high Rs 9,260 per quintal, above the central government’s minimum support price of Rs 8,667.
Read moreAdilabad cotton prices start at ₹9,260 a quintal
Cotton buying has begun in Adilabad market yard at ₹9,260 a quintal, underscoring how a poor harvest and tight supply are lifting farmgate prices even as growers press the government to do more.
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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.