History · 3 years
Overview · Sentiment index · updated daily
About the UK Gilt Bonds Sentiment
Machine-learning signal measuring UK Gilt market sentiment - capturing BoE rate decision expectations, UK fiscal credibility commentary, and gilt yield dynamics reflecting sterling debt risk appetite.
Bond market sentiment tends to lead equity moves by one to three trading sessions. Extreme Awareness readings frequently coincide with Treasury auction events, macro data surprises, or sudden yield-curve shifts. The Sentiment-Awareness spread is particularly useful for anticipating duration-positioning rotations.
Key drivers
- Treasury auction results and bid-to-cover ratios
- 10-year and 2-year yield levels
- Yield curve slope (2s10s spread)
- Fed rate expectations (futures pricing)
- Credit spread widening / tightening
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.
- 61-80Now · 77BullishPositive momentum building in the narrative; coverage tilting toward bullish catalysts and upside scenarios.
- 81-100Extreme 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 UK Gilt 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 uk gilt bonds trade signals, british government bonds, ai bonds trade signals, gilts analysis, alternative data bonds - helping traders and analysts track UK Gilt sentiment shifts in real time.
Latest news
UK Gilt in the news
The headlines feeding this index, newest first.
UzNatsBank lists $250 million bond in Hong Kong
UzNatsBank’s $250 million bond listing in Hong Kong with China International Capital Corp gives Uzbekistan another path to tap Asian capital even as global borrowing costs remain elevated and investors grow more selective.
Read moreQben Infra to Raise Up to 72 Million Crowns
Qben Infra said it will raise as much as 72 million crowns through a convertible bond issue, a financing move that gives the Swedish infrastructure company cash now while deferring part of the dilution cost to a later date. For investors, the key question is not just the size of the deal but why management chose convertibles at a time when borrowing costs remain elevated and equity markets are selective toward smaller industrial names.
Read moreSouth Africa Sells 1 Billion Rand 2046 Bond
South Africa sold 1 billion rand of 2046 inflation-linked bonds at auction, underscoring continued demand for long-dated government paper even as investors stay focused on the country’s inflation outlook and debt burden.
Read moreQben Infra plans 72 million crown convertible bond
Qben Infra is turning to a convertible bond issue of up to 72 million crowns at a time when higher yields are making plain-vanilla debt more expensive and forcing smaller companies to be more creative about financing their ambitions.
Read moreUK 2056 gilt sale may price at record yield
The UK is poised to pay its highest borrowing cost in a bond sale since 1998 after a global sell-off in sovereign debt pushed gilt yields sharply higher and added fresh pressure to already stretched public finances.
Read moreUK Treasury launches new 30-year gilt
The UK has begun syndicating a new 30-year government bond, a reminder that long-dated borrowing remains a costly test for Chancellor Rachel Reeves as investors demand stronger compensation for lending to the state over decades.
Read moreUK listed firms attract takeover interest
UK-listed companies are seeing a fresh wave of takeover interest as depressed valuations make them cheaper targets for overseas buyers, reinforcing London’s long-running problem of listed firms trading at a discount to global peers.
Read moreUK Chancellor Healey sets out growth speech before budget
John Healey will argue Britain can “turn a corner” on growth even as surging borrowing costs force Labour to prepare a tougher-than-expected budget and heighten pressure on households, lenders and the gilt market.
Read moreVietnam Government Bond Yields Rise But Stay Stable
Vietnamese government bonds are moving far more calmly than peers in the US, Japan and Europe, even as a global sell-off pushes benchmark yields in several major markets to their highest levels in years.
Read moreCoreWeave Rebound Faces Higher Borrowing Costs
CoreWeave’s latest rebound is running into a bigger problem than weak trading: the bond market is still dictating the cost of capital for highly leveraged AI infrastructure names, and that keeps pressure on a company that has burned through billions as it races to build out data-center capacity.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the UK Gilt index?
Machine-learning signal measuring UK Gilt market sentiment - capturing BoE rate decision expectations, UK fiscal credibility commentary, and gilt yield dynamics reflecting sterling debt risk appetite.
How is the UK Gilt index calculated?
The UK Gilt 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 UK Gilt 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.