Coal Fear & Greed Index: 18 (Extreme Bearish) · as of
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
- 0-20Now · 18Extreme BearishOverwhelmingly bearish; often a washed-out, contrarian zone.
- 21-40BearishCoverage 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.
India coal stockpile falls as deliveries improve
India’s coal stockpile at thermal power plants has fallen to 18.15 million tonnes, but the government says improving deliveries and slower burn rates mean there is no immediate risk of shutdowns. That reassurance matters for the world’s third-largest power market because even a short-lived supply squeeze can ripple through industrial output, inflation and utility shares.
Read moreTurkey day-ahead power price hits 4,500 lira cap
Turkey’s day-ahead electricity market is flashing a sharp stress signal, with tomorrow’s spot power price capped at 4,500 liras per megawatt-hour and the low set at 249 liras, a spread that underscores how quickly fuel costs and supply tightness can ripple through the region’s power system.
Read moreIndia Coal Supply Jumps 36% From September Lows
India’s coal supply to power plants has jumped 36% from September lows, easing the risk of supply-driven blackouts and giving the country’s generators a little more breathing room ahead of peak demand periods.
Read moreGlencore Shares Rise as Coal Gains Investor Favor
Coal is no longer an automatic exclusion for investors chasing returns, and Glencore’s recent share gains suggest the market is rewarding miners that can turn politically unpopular commodities into free cash flow.
Read moreChina Stocks Fall as PBOC Liquidity Drains
Chinese equities fell sharply on Thursday even as the People’s Bank of China injected short-term cash into the banking system, underscoring how quickly sentiment can weaken when liquidity support is modest relative to heavy market pressure.
Read moreRomania Mintia gas turbine starts at power plant
Romania has started the first gas turbine at the Mintia power plant, moving a $1.2 billion-plus private project closer to its first deliveries into the national grid and toward a planned 1,700-megawatt capacity that could materially trim electricity imports.
Read moreJharkhand Plans Coal Theft Crackdown SOP
Jharkhand is moving to formalize a statewide crackdown on coal theft and illegal mining after the High Court ordered officials to draw up a comprehensive standard operating procedure covering enforcement, coordination and environmental protection.
Read moreEgypt Gold Prices Fall as Global Selloff Hits Bars
Gold prices in Egypt extended their decline on Thursday, pulling 1-gram bullion bars down to 6,971 pounds as a global selloff fed through to the local market and gave buyers a cheaper entry point after a recent run of volatility.
Read moreHunosa plan targets biomass, jobs and new growth
Hunosa’s new business plan does more than extend the life of Spain’s state coal company — it gives the troubled miner a rare path to growth in a sector that has spent three decades shrinking.
Read moreIndonesia Coal Reserves Support Industrial Demand
Indonesia's vast coal endowment is still doing more than keeping the lights on: it is supporting the case that coal will remain a durable part of the country's energy mix and industrial base for years, even as the global energy transition gathers speed.
Read moreEmbed
Put this indicator on your site
Add the live gauge to your page, or share it with your audience.
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.