Services PMI Sentiment
Overview · Outlook index · updated daily
About the Services PMI Sentiment
AI-based intelligence measuring ISM Services PMI sentiment - capturing business activity momentum, new orders commentary, employment conditions in services, and overall non-manufacturing sector health discussions.
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
- 0-20Now · 1Deeply PessimisticCoverage points to contraction or recession.
- 21-40PessimisticOutlook weakening; downside risks lead.
- 41-60NeutralMixed 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 Services PMI 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 services pmi sentiment, ism non-manufacturing outlook, business activity analysis, ai macro sentiment, alternative data macro - helping traders and analysts track Services PMI outlook shifts in real time.
Latest news
Services PMI in the news
The headlines feeding this index, newest first.
VTM former chief accused in inventory loss case
The former general director of Vietnamese miner and steelmaker VTM has been accused of ordering staff to absorb more than 225 billion dong in missing inventory into cost of goods sold and other expenses, deepening a corruption case that now reaches into state-owned industrial oversight and raises questions about asset protection at one of the country’s key raw-material suppliers.
Read morePizza Fan workers stay under contract amid probe
Pizza Fan’s employees remain under active contracts, a crucial sign that Greece’s beleaguered pizza chain may yet restart operations after authorities seized its phone center and computers in a tax-evasion probe that froze day-to-day trading.
Read moreXYZ Duce robot targets retail, office and home use
Robotics makers are moving beyond voice commands and factory tasks to build machines that can read context, respond with gestures and fit into everyday spaces, a shift that could decide which systems make it into homes, offices and retail floors.
Read moreOCBS Fined for Bond Advisory and Trade Record Violations
OCBS Securities has been fined 342.5 million dong for violations tied to bond issuance consulting and trade-record storage, a reminder that as Vietnam’s brokerage and bond businesses expand, compliance can become just as important as growth.
Read moreMalta Business Bureau Pushes EU Islands Policy
Maltese businesses are pressing Brussels to tailor European Union policy more closely to island economies, with the Malta Business Bureau marking its 30th anniversary by arguing that competitiveness in the single market now depends as much on practical regulation as on access to markets.
Read moreNam A Bank Plans 100 Million Share Placement
Nam A Bank plans to sell 100 million new shares in a private placement that would raise 1.32 trillion dong, giving the lender fresh capital for expansion just as Vietnamese banks lean on equity to fund growth and shore up their balance sheets.
Read moreGermany private sector PMI slips to 52.8 in October
Germany’s private sector expanded in October for a fourth straight month, but the pace slowed as S&P Global’s composite purchasing managers’ index slipped to 52.8 from 53.8 in September, underscoring that Europe’s largest economy is still growing but losing momentum.
Read moreQuang Ninh pushes business tech support and permits
Quang Ninh city is stepping up support for businesses to adopt new technology and digital tools as local authorities try to remove bottlenecks in land, capital and permits that can slow investment and production.
Read moreVietnam construction materials profits rise on demand
Vietnam’s construction materials makers are posting sharply higher profits after nine months of 2026 as a booming economy, faster public investment and stronger construction activity lift demand for plastic pipes, stone and cement.
Read moreSouth Korea loosens startup rules and support access
South Korea’s Ministry of SMEs and Startups is moving to loosen some of the country’s most rigid startup rules, a policy shift that could widen the pool of firms eligible for state support and make it easier for founders to keep businesses afloat through military service, childbirth and early cash-management bottlenecks.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Services PMI index?
AI-based intelligence measuring ISM Services PMI sentiment - capturing business activity momentum, new orders commentary, employment conditions in services, and overall non-manufacturing sector health discussions.
How is the Services PMI index calculated?
The Services PMI 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 Services PMI 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.