FTSE 100 Sentiment
Overview · Sentiment index · updated daily
About the FTSE 100 Sentiment
AI-based intelligence tracking FTSE 100 sentiment - capturing UK macro risk, sterling dynamics, commodity-heavy index composition effects, and London equity market positioning relative to global peers.
Equity sentiment readings are most actionable at the extremes and around earnings cycles. Awareness surges that are not matched by Sentiment moves often precede sharp directional breaks. Single-stock indicators are best read in conjunction with the broader S&P 500 Sentiment to isolate idiosyncratic versus macro-driven moves.
Key drivers
- Earnings estimates and revision trends
- VIX and options skew
- Sector rotation and fund flow data
- Macro data beats / misses relative to consensus
- Short interest and positioning reports
Reading the Sentiment scale
- 0-20Extreme BearishOverwhelmingly bearish; often a washed-out, contrarian zone.
- 21-40BearishCoverage leans toward falling prices.
- 41-60Now · 55NeutralNo 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 FTSE 100 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 ftse 100 trade signals, uk stock market outlook, ai equity trade signals, london stock exchange, alternative data equities - helping traders and analysts track FTSE 100 sentiment shifts in real time.
Latest news
FTSE 100 in the news
The headlines feeding this index, newest first.
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FTSE Russell has kept Indonesia in its Secondary Emerging Market bucket, sparing the country from a watchlist review and the immediate risk of an index downgrade that could have complicated foreign portfolio flows into local equities.
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Wall Street’s record run is being powered by a familiar formula: investors are paying up for artificial intelligence and chip makers again, while easing Treasury yields are making those growth stocks easier to own.
Read moreAmaroq Ltd Hits Q3 Output and FTSE 250 Inclusion
Amaroq Ltd has delivered the kind of production inflection and index upgrade that can re-rate a small miner fast: gold output at its Nalunaq mine hit about 12,000 ounces in the third quarter, bringing nine-month production to roughly 21,000 ounces and putting the company on track to hit its full-year target of 25,000 to 35,000 ounces, while FTSE Russell will add the stock to the FTSE 250 on Oct. 8.
Read moreAlibaba shares lag cloud and AI growth
Alibaba shares are trading far below Wall Street’s valuation for the company, even as its cloud and AI business continues to post brisk growth that investors have largely refused to price in.
Read moreAzad Engineering Surges on Defense and Aerospace Demand
Sachin Tendulkar’s early bet on Hyderabad-based Azad Engineering has become a live example of why investors pay up for scarcity, defense and aerospace manufacturing, and long-duration industrial growth.
Read moreMuscat 30 flat as Al Hassan Engineering falls 16.67%
Al Hassan Engineering led declines on the Muscat Stock Exchange on Wednesday, falling 16.67% to 0.005 rial as Dhofar International Development & Investment also slipped, while the benchmark barely budged even as trading activity picked up.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the FTSE 100 index?
AI-based intelligence tracking FTSE 100 sentiment - capturing UK macro risk, sterling dynamics, commodity-heavy index composition effects, and London equity market positioning relative to global peers.
How is the FTSE 100 index calculated?
The FTSE 100 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 FTSE 100 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.