Coal Fear & Greed Index
Overview · Sentiment index · updated daily
About the Coal Fear & Greed Index
AI-driven analysis of commodity market signals and trader commentary in coal markets, capturing shifts in supply-demand balance and price sentiment.
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.
- 21-40Now · 36BearishCoverage leans toward falling prices.
- 41-60NeutralNo 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 Coal 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 coal fear greed index, coal market extremes, trader sentiment coal, bullish bearish coal, ai coal market index - helping traders and analysts track Coal sentiment shifts in real time.
Latest news
Coal in the news
The headlines feeding this index, newest first.
South Korea Current Account Surplus Tops Germany and Japan
South Korea’s current account surplus jumped to $116.63 billion in the second quarter, overtaking the combined surpluses of Germany and Japan for the first time on record and underscoring how semiconductor exports are reshaping the country’s external balance.
Read moreIndia coal quality issues hurt power supply
Low-quality coal is increasingly being blamed for power cuts in India, underscoring how fuel quality, not just fuel availability, is becoming a central risk for the country’s electricity system.
Read moreChevron and Egypt report Narges 2 gas results
Egypt and Chevron have reported positive drilling results at the Narges 2 natural gas well in the Mediterranean, a development that could strengthen the country’s offshore gas outlook at a time when regional energy security and border disputes are sharpening investor attention on the Eastern Mediterranean.
Read moreTG Genco repairs Yadadri coal handling plant
TG Genco’s push to repair coal handling bottlenecks at the Yadadri Thermal Power Station matters because it is the difference between a large new power plant running at design strength and one that is forced to underperform just as demand for reliable electricity keeps climbing.
Read moreRussia FAS probes coking coal price increases
Russia’s antitrust watchdog has asked the country’s top coking coal producers to explain a sharp run-up in prices, putting the steelmaking fuel back in the regulatory spotlight just as global coal markets remain volatile and Moscow’s mining industry remains under heavy strain.
Read moreThailand Fuel Pricing Debate Targets Refining Margins
Thailand should stop using fuel funds and tax subsidies to mask what a lawmaker says are outsized refining profits driven by Singapore-linked pricing, as a sharp rise in diesel spreads has widened the gap between crude costs and finished-fuel prices.
Read moreWhitehaven Coal tops quarterly production expectations
Whitehaven Coal said quarterly production came in above expectations, helped by stronger performance in Queensland, giving the Australian miner more leverage as coal prices stabilize and investors look for signs that supply can keep up with demand.
Read moreIndia clears Coal India supply for Yadadri plant
India has cleared a plan for the Yadadri thermal power plant in Telangana to receive about 8 million tonnes of G9 coal a year from Coal India, a move that could finally ease a fuel bottleneck that has kept one of the state’s newest and largest power projects from running at full capacity.
Read morePeabody Energy Falls Below 50-Day and 200-Day Averages
Peabody Energy’s short-lived share revival is losing steam, with the coal miner sliding back below its 50-day and 200-day moving averages after a run-up that had briefly revived hopes for a more durable turnaround.
Read moreIndia coal gasification plan needs approvals and buyers
India’s plan to gasify 100 million tonnes of coal a year by 2030 now hinges on whether New Delhi can clear projects faster and lock in buyers, after a new report said the target will require streamlined approvals, long-term offtake deals and technology adapted to the country’s high-ash coal.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Coal index?
AI-driven analysis of commodity market signals and trader commentary in coal markets, capturing shifts in supply-demand balance and price sentiment.
How is the Coal index calculated?
The Coal 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 Coal 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.