PMI Trend Recession Sentiment
Overview · Outlook index · updated daily
About the PMI Trend Recession Sentiment
AI-based analysis of PMI data interpretation and manufacturing sentiment - tracking how industrial activity trends translate into recession risk narratives and growth expectations.
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.
- 21-40Now · 21PessimisticOutlook 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 PMI Trends 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 pmi trends, manufacturing sentiment, ai economic sentiment, internet macro indicators, alternative data economy - helping traders and analysts track PMI Trends outlook shifts in real time.
Latest news
PMI Trends in the news
The headlines feeding this index, newest first.
South Korea PMI Hits Eight-Month Low
South Korea’s manufacturing momentum weakened in October, with the latest purchasing managers’ index pointing to an eight-month low and reinforcing signs that the export-heavy economy is losing pace after a stronger midyear run.
Read moreU.S. PMI Eases But Stays Near Five-Year High
The U.S. economy is still expanding at a brisk pace, with S&P Global’s composite PMI easing to 57.6 in October from 58.4 in September but remaining close to the strongest readings seen in roughly five years.
Read moreIndonesia Remittance Market Reaches Rp288 Trillion
Indonesia’s migrant-worker remittance market is emerging as a larger financial pipeline, with money sent home by Pekerja Migran Indonesia reaching Rp288 trillion in 2025, up about 14% from a year earlier. That scale is now forcing regulators and industry players to tighten cross-border payment safeguards as digital transfers accelerate and the risk of fraud, compliance lapses and operational failures rises with volume.
Read moreIndia private sector growth hits four-month high
India’s private sector expanded at the fastest pace in four months in October, underscoring resilient domestic demand and a stronger export pulse even as firms dialed back hiring and price pressures eased.
Read moreIndia rum market splits into premium and value tiers
India’s rum aisle is widening into two distinct markets, with premium bottles made from fresh sugarcane juice, jaggery and longer aging now commanding as much as nearly four times the price of mainstream labels. That shift matters because it signals that Indian spirits makers are pushing beyond volume-led mass pricing toward higher-margin, provenance-driven products that could reshape competition, consumer expectations and regulatory scrutiny.
Read moreSouth Korea IMF Raises Potential Growth Outlook
South Korea’s economy is getting an unusual boost to its long-term growth outlook, and for investors that is the real story: the IMF now expects the country’s potential growth rate to rise for a second straight year, helped by semiconductor investment and AI-driven productivity gains.
Read moreMangaluru Jail Trains 23 Inmates in Mushroom Farming
A three-day mushroom cultivation programme for 23 inmates at Mangaluru District Jail underscores a low-cost rehabilitation model that aims to turn prison time into a marketable livelihood skill.
Read moreRomania PMI Rises to 49.3 in March
Romania’s manufacturing downturn eased in March, with the closely watched Purchasing Managers’ Index rising to 49.3 from 47.1 in February, a sign the industrial sector is still contracting but at the slowest pace in nine months.
Read moreAntares Vision, PMI launch DEOPP for EU product passports
PMI, Antares Vision Group and Genuine Way have launched DEOPP, a digital platform aimed at helping small and mid-sized companies prepare for the European Union’s coming wave of product-traceability and transparency rules.
Read moreIndia Services PMI Rises to 55.2 in September
India’s services sector expanded at its fastest pace in three months in September, but the broader picture was less reassuring: activity over the July-September quarter was the weakest since early 2022, underscoring how uneven the recovery remains even as domestic demand holds up.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the PMI Trends index?
AI-based analysis of PMI data interpretation and manufacturing sentiment - tracking how industrial activity trends translate into recession risk narratives and growth expectations.
How is the PMI Trends index calculated?
The PMI Trends 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 PMI Trends 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.