History · 3 years
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 BearishCoverage dominated by risk-aversion signals; narrative heavily skewed toward bearish conditions.
- 21-40BearishBelow-neutral conditions with cautious market positioning; optimism subdued relative to the 30-day baseline.
- 41-60NeutralBalanced coverage with no clear directional bias. Market is in a wait-and-see posture, awaiting a catalyst.
- 61-80BullishPositive momentum building in the narrative; coverage tilting toward bullish catalysts and upside scenarios.
- 81-100Now · 82Extreme BullishElevated 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 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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ST Engineering shares rose as much as 5% after Goldman Sachs initiated coverage with a buy rating, sharpening investor attention on the Singapore group’s defence and aerospace pipeline at a time when the stock had been sliding for a month.
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Read moreKaramtara Engineering Lists 26% Above IPO Price
Karamtara Engineering made a strong stock market debut on Wednesday, listing at a 26% premium to its issue price as investors chased exposure to a renewable-energy and transmission-equipment maker with rising earnings and a large export footprint.
Read moreStandard Bank Malawi youth initiative costs K490 million
Standard Bank plc is spending K490 million on a multi-year youth initiative in Malawi, betting that education and skills training can help turn the country’s young population into a bigger source of growth, entrepreneurship and long-term demand.
Read moreSweden GDP outlook and Riksbank rate hike view
Sweden’s economy is moving into a stronger growth phase than many investors expect, and Handelsbanken says that mix of faster GDP, firmer labor markets and heavy public- and private-sector investment will eventually force the Riksbank to raise rates again.
Read moreFTSE 100 slips as oil and inflation worries rise
London stocks ended slightly lower on Tuesday as a jump in oil prices and fresh concern over inflation kept investors cautious ahead of a heavy run of economic data that could shape central bank policy.
Read moreMota-Engil Leads PSI 0.66% Higher in Lisbon
Lisbon’s stock market ended higher on Monday, led by Mota-Engil’s more than 5% advance, as investors tilted into Portuguese equities even while broader European indexes moved without a clear direction.
Read moreGuardian Metal TUNGF rises on FTSE AIM 50 inclusion
Guardian Metal’s recognition in the FTSE AIM 50 Index is putting the tungsten developer on the radar of more institutional investors at a time when the market is already rewarding the commodity theme, sending TUNGF shares to 1.51 and lifting trading volume.
Read moreFTSE 100 slips as oil rises and Fed hike bets build
London equities slipped on Monday as a jump in oil prices and rising expectations of another Federal Reserve rate increase kept pressure on risk assets, leaving the FTSE 100 down 0.1% even as energy shares cushioned the move.
Read moreVietnam ETFs Rebalance Ahead of FTSE Upgrade
Trillions of dong are set to move between Vietnamese stocks in mid-September as three major foreign ETFs rebalance at the same time that passive FTSE-linked money begins flowing into the market ahead of Vietnam’s formal upgrade schedule.
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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.