History · 3 years
Overview · Volatility index · updated daily
About the FX Volatility Trading Signals
Machine-learning signal tracking foreign exchange volatility expectations - measuring uncertainty narratives, cross-currency hedging discussions, and risk premium sentiment across FX markets.
FX sentiment is heavily influenced by interest rate differentials and macro data surprises relative to consensus. Sentiment divergences between two currency-pair components (e.g., USD bullish + EUR bearish) often provide cleaner directional signals than either in isolation. Awareness spikes around major central bank meetings frequently precede volatility regime changes.
Key drivers
- Central bank interest rate differentials
- CPI and GDP surprises versus consensus
- Trade balance and current account data
- Geopolitical risk events affecting safe-haven flows
- CFTC COT positioning reports
Reading the Volatility scale
- 0-20Dead CalmCoverage dominated by risk-aversion signals; narrative heavily skewed toward calm conditions.
- 21-40CalmBelow-neutral conditions with cautious market positioning; optimism subdued relative to the 30-day baseline.
- 41-60NormalBalanced coverage with no clear directional bias. Market is in a wait-and-see posture, awaiting a catalyst.
- 61-80VolatilePositive momentum building in the narrative; coverage tilting toward volatile catalysts and upside scenarios.
- 81-100Now · 100Extreme VolatilityElevated risk of mean-reversion. Watch for sentiment exhaustion signals and divergence from the Awareness score.
How to use this index
- Use the Volatility score to gauge the prevailing narrative bias for FX Vol Index 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 fx volatility sentiment, currency volatility, ai risk sentiment, internet fx risk, alternative data markets, forex volatility index analysis - helping traders and analysts track FX Vol Index volatility shifts in real time.
Latest news
FX Vol Index in the news
The headlines feeding this index, newest first.
DAX Faces Oil, Ifo, and Germany Election Risks
The Dax is entering the week with one of its main macro supports still intact: equity investors have largely absorbed a Brent oil price above $100 a barrel, while the next test is whether German business confidence and election fallout will confirm or challenge the market’s view that growth remains resilient.
Read moreSaudi TASI Falls 0.56% on Banks, Materials
Saudi Arabia’s main stock index fell 0.56% in midday trading Sunday, with pressure from the banking and basic materials sectors dragging the benchmark to 10,717.27 points as investors turned more cautious amid softer crude prices and broad weakness across the market.
Read moreU.S. producer prices rise for five straight months
Producer prices have now climbed for five straight months, a reminder that inflation is still working its way through the economy even as investors keep hoping the worst is behind them.
Read morePakistan SPI Inflation Jumps Above 10%
Pakistan’s weekly inflation gauge jumped back above 10% after fuel and food costs accelerated, underscoring how energy volatility is once again feeding through to household budgets and the broader cost base.
Read moreGhana Cedi Slips as Bank of Ghana Sells Dollars
The Bank of Ghana pumped $12.9 billion into the foreign-exchange market in the year to end-May 2026, underscoring how heavily the central bank has leaned on dollar sales to defend the cedi even as the currency has started to slide again.
Read moreNasdaq Composite Rebounds Above Key Hourly MAs
The Nasdaq Composite is trying to stabilize above its 100-hour and 200-hour moving averages after a sharp slide this week, giving buyers a chance to reclaim control ahead of a Federal Reserve decision that could reset the tone for technology stocks.
Read morePoland Zloty Holds Near 4.35 Before Moody's Review
Poland’s zloty is struggling to find much room to strengthen as investors wait for Moody’s evening review, with the rating risk overshadowing local data and keeping pressure on both the currency and government bonds.
Read moreAustralia active equity funds lose $22 billion
Active fund managers are losing the confidence game, and the money is following. In Australia, active equity managers have shed almost $22 billion over five years as investors steadily move toward cheaper index-tracking products that have delivered more consistent returns.
Read morePakistan KSE-100 Rises 1,021 Points
Pakistan’s stock market pushed sharply higher, with the benchmark KSE-100 index adding 1,021 points in a move that suggests investors are still willing to buy into the country’s turnaround story despite a volatile political and macro backdrop.
Read moreOMXS30 Opens Higher, Holds Above Key Averages
The Stockholm Stock Exchange opened higher on Friday, with the OMXS30 rising 0.8% to 3,264.33, keeping Sweden’s benchmark near its highest levels of the year even as momentum indicators show the rally has cooled.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the FX Vol Index index?
Machine-learning signal tracking foreign exchange volatility expectations - measuring uncertainty narratives, cross-currency hedging discussions, and risk premium sentiment across FX markets.
How is the FX Vol Index index calculated?
The FX Vol Index index is derived from AI-powered NLP analysis of thousands of online news sources, blogs, and financial commentary. Sentiment scores range from 0 (Dead Calm) to 100 (Extreme Volatility), where 50 represents normal conditions. Awareness scores capture the volume and breadth of coverage for this topic across the media landscape.
How often is the FX Vol Index 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.