History · 3 years
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 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.
- 81-100Now · 81Extreme 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 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.
Australia opposition fuel and tobacco tax cuts debate
Australia’s opposition is trying to turn a cost-of-living fight into a broader tax-cut argument, but the plan is already meeting resistance because it risks looking more like electioneering than a coherent budget policy.
Read moreCoal India unveils coal-to-chemicals, solar and storage
Coal India is making its biggest case yet that the long-term value of a coal company may not have to stop at coal. The state-owned miner on Sunday unveiled a business-development portfolio that stretches from coal gasification and fertilizers to solar power, battery storage, critical minerals and graphite — a strategic shift that could reshape its earnings mix, reduce exposure to pure mining, and give investors a new way to own India’s energy transition.
Read moreUtilities Turn Coal Sites Into AI Data Center Hubs
Utilities are quietly turning some of America’s most overlooked coal sites into prime real estate for the AI buildout, and that shift could reshape where the next wave of power, land and grid capital flows for years.
Read moreLatvia gas stove replacement costs 65.35 euros
Replacing a gas stove in Latvia can cost as much as 65.35 euros, with prices varying by installer and travel distance, turning a basic household fix into a budget strain for lower-income residents.
Read morePoland plans coal-to-gas heating overhaul
Poland is preparing a sweeping overhaul of its district-heating system that would move millions of households away from coal and toward gas, a change that could reshape the country’s energy mix, support infrastructure spending and alter demand in Europe’s gas market.
Read moreVietnam TKV seeks longer-term coal export buyers
Vietnam’s state coal miner is pushing to expand export markets and lock in longer-term customers at a moment when volatile global energy supplies are keeping coal in demand and sharpening the value of reliable logistics.
Read moreAustralia Coalition Fuel Excise Cut Plan
Australia’s opposition has tied a major cost-of-living promise to the next oil shock, saying it would halve the fuel excise and trim about $15 from the average tank when Brent crude averages more than $US100 a barrel for two weeks.
Read moreChina solar capacity overtakes coal installed capacity
China’s installed photovoltaic capacity has overtaken coal-fired capacity for the first time, marking a structural shift in the world’s largest electricity market and underscoring how quickly solar is displacing the marginal role of coal in new power supply.
Read moreSwitzerland fuel prices rise after refinery outage
Petrol and diesel prices in Switzerland have surged in recent months because a local refinery outage and disrupted inland transport have collided with firmer global crude markets, squeezing supply in a country that depends heavily on imports.
Read moreIndonesia Coal-to-Gasoline Plan After Prabowo Remarks
Indonesia’s push to turn coal into gasoline is the biggest energy-policy signal to come out of President Prabowo Subianto’s weekend remarks, because it points to a country trying to lock in fuel self-sufficiency just as global oil and diesel markets tighten.
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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.