History · 3 years
Overview · Sentiment index · updated daily
About the Aluminum Fear & Greed Index
Machine-learning fear and greed indicator for aluminum - measuring energy cost impact on smelting, Chinese production capacity commentary, and construction and packaging demand 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 FearCoverage dominated by risk-aversion signals; narrative heavily skewed toward fear conditions.
- 21-40FearBelow-neutral conditions with cautious market positioning; optimism subdued relative to the 30-day baseline.
- 41-60Now · 56NeutralBalanced coverage with no clear directional bias. Market is in a wait-and-see posture, awaiting a catalyst.
- 61-80GreedPositive momentum building in the narrative; coverage tilting toward greed catalysts and upside scenarios.
- 81-100Extreme GreedElevated 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 Aluminum 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 aluminum fear greed index, aluminum market extremes, trader sentiment aluminum, aluminum bullish bearish, ai aluminum market index - helping traders and analysts track Aluminum sentiment shifts in real time.
Latest news
Aluminum in the news
The headlines feeding this index, newest first.
EU Scrap Export Rules Could Pressure Indian Recyclers
The European Union is moving to bar India from importing metal scrap, including aluminium scrap, from May 2027, a policy shift that could tighten global scrap flows, lift feedstock costs for recyclers and force one of the world’s biggest buyers to scramble for alternative supply.
Read moreSaudi Arabia aluminium demand seen rising to 1.8M tons
Saudi Arabia’s aluminium market is headed for a sharp expansion as construction for mega-events and broader infrastructure spending push annual demand to as much as 1.8 million metric tons by 2030, Maaden says.
Read moreAluminium output falls in Gulf as prices stay firm
Gulf aluminium production fell in July, a reminder that even small disruptions in one of the world’s key metal-producing regions can ripple through global supply chains, keep prices firm and reshape profit expectations for miners and manufacturers alike.
Read moreRusal Posts First-Half Profit on Higher Aluminium Prices
Rusal swung to a first-half profit as firmer aluminium prices improved the value of its sales, giving the Russian producer a rare earnings lift even as energy costs and geopolitics continue to hang over the sector.
Read moreChina Aluminium Ore Imports Fell in July
China’s domestic aluminium ore imports fell 6.3% in July from June and 4.6% from a year earlier, a sign that the world’s biggest metals market is running into a harder mix of weaker industrial momentum and still-elevated input volatility.
Read moreIndian Aluminium Stocks Fall on Power Cost Concerns
Indian aluminium stocks slumped on Friday as investors refocused on the sector’s most fragile link: power and raw-material costs. Vedanta Aluminium, Hindalco and Nalco fell as much as 7%, with the selloff reflecting concern that a market lifted by strong metal prices can still be quickly undercut by energy shortages, policy intervention and volatile global supply.
Read moreHindalco profit hits Rs 7,013 crore on aluminium prices
Hindalco’s record quarterly profit of Rs 7,013 crore underscores how a powerful run in aluminium prices is flowing straight through to miners and smelters, boosting margins even as the broader metals cycle remains volatile.
Read moreChina aluminium inventories fall for 10th straight week
China’s aluminium market is tightening just as the metal is becoming more strategically important to industry and defense, a combination that is supporting prices and sharpening the case for producers with exposure to higher realized selling prices.
Read moreRomania cans reach 29.3% of deposit packaging
Aluminium cans are taking a bigger share of Romania’s deposit return system, with cans accounting for 29.3% of DRS packaging as consumers and beverage companies shift toward lighter, more recyclable containers.
Read moreNALCO eyes higher volumes, lower costs near $3,000 aluminium
NALCO is betting that higher production volumes and easing input costs will support margins even as the aluminium market stabilises around $3,000 to $3,200 a tonne on the London Metal Exchange.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Aluminum index?
Machine-learning fear and greed indicator for aluminum - measuring energy cost impact on smelting, Chinese production capacity commentary, and construction and packaging demand sentiment.
How is the Aluminum index calculated?
The Aluminum index is derived from AI-powered NLP analysis of thousands of online news sources, blogs, and financial commentary. Sentiment scores range from 0 (Extreme Fear) to 100 (Extreme Greed), 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 Aluminum 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.