Industrial Production Sentiment
Overview · Outlook index · updated daily
About the Industrial Production Sentiment
Alternative data signal tracking industrial production and manufacturing sentiment - capturing capacity utilization commentary, reshoring momentum narratives, and factory output dynamics as a real economy indicator.
Macro sentiment indicators capture the aggregate narrative bias across economic data releases, not just individual prints. A rising Awareness score alongside deteriorating Sentiment is a classic recession-fear signal. These indicators are best used to track how quickly markets are repricing macro risk, rather than to predict the data itself.
Key drivers
- PMI composite readings (manufacturing + services)
- Consumer confidence surveys (Conference Board, UoM)
- Retail sales and personal spending data
- Leading economic indicators (LEI)
- Labor market health (jobless claims, JOLTS)
Reading the Outlook scale
- 0-20Deeply PessimisticCoverage points to contraction or recession.
- 21-40PessimisticOutlook weakening; downside risks lead.
- 41-60Now · 48NeutralMixed outlook; no clear trend.
- 61-80OptimisticOutlook improving; growth signals lead.
- 81-100Highly OptimisticStrong growth narrative; watch for overheating.
How to use this index
- Use the Outlook score to gauge the prevailing narrative bias for Industrial Production 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 industrial production sentiment, manufacturing outlook, ai macro sentiment, factory output analysis, alternative data macro - helping traders and analysts track Industrial Production outlook shifts in real time.
Latest news
Industrial Production in the news
The headlines feeding this index, newest first.
Australia Productivity and AI Adoption
Australia’s growth problem is increasingly being framed as a technology problem, and businesses are betting that artificial intelligence may be the fastest way out. That matters because the country has spent years wrestling with sluggish productivity gains, and without a meaningful lift in output per worker, wage growth, profits and long-run living standards all become harder to sustain.
Read moreItaly wages tied to productivity, Rinaldi says
Italy cannot lift wages in a meaningful way without a rebound in productivity, Antonio Maria Rinaldi said on Thursday, framing the country's pay squeeze as a structural growth problem rather than one that can be fixed by tax cuts alone.
Read moreColombia rice reform begins in 2027
Colombia’s rice industry will begin a sweeping production-order overhaul in the first half of 2027, a move aimed at reducing chronic supply-demand imbalances, stabilizing prices and shielding farmers in one of the country’s most politically sensitive food markets.
Read moreAustralian businesses weigh AI for productivity gains
Australian businesses are arguing that artificial intelligence could be one of the few tools capable of lifting the country’s sluggish productivity, even as executives and policymakers wrestle with whether the technology can translate into real revenue, not just cost cuts.
Read morePortugal AI adoption and productivity gap
Artificial intelligence could become Portugal’s most important productivity tool, but only if businesses move beyond experimenting with it and start changing how they work.
Read moreEgypt plans 2027-2030 economic transformation program
Egypt’s government is preparing to launch a new national economic transformation program by the end of December 2026, a policy push aimed at raising productivity, improving competitiveness and expanding the private sector’s role in the economy.
Read moreVita Coco raises outlook and expands capacity
Vita Coco is choosing to play offense even as shipping costs pinch margins, and that is the part long-term investors should care about most. The coconut-water maker just raised its full-year sales and adjusted EBITDA outlook, while laying out a plan to expand factory capacity and launch sports-inspired flavors that could widen its addressable market for years.
Read moreTurkey defense pact with Qatar, Indonesia, Pakistan
Turkey is moving to deepen joint defense manufacturing with Qatar, Indonesia and Pakistan after the four countries signed a new memorandum in Doha aimed at building shared production capacity, boosting research and development, and strengthening supply chains.
Read moreNigeria interior design linked to office productivity
Interior design is emerging as a productivity issue, not just a cosmetic one, as Nigeria’s Interior Designers Association says office planning, lighting, ventilation and acoustics can materially affect output and returns on capital.
Read moreZongteng founder Wang Zuan builds logistics empire
Wang Zuan turned a student side hustle selling low-cost goods online into a cross-border logistics empire now valued at nearly 38,000 billion dong, underscoring how China’s e-commerce boom has created billionaires far beyond the retail front line.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Industrial Production index?
Alternative data signal tracking industrial production and manufacturing sentiment - capturing capacity utilization commentary, reshoring momentum narratives, and factory output dynamics as a real economy indicator.
How is the Industrial Production index calculated?
The Industrial Production index is derived from AI-powered NLP analysis of thousands of online news sources, blogs, and financial commentary. Sentiment scores range from 0 (Deeply Pessimistic) to 100 (Highly Optimistic), 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 Industrial Production 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.