History · 3 years
Overview · Policy Bias index · updated daily
About the Market Expectations for Fed Rate Decisions
Alternative data signal measuring market-implied expectations for upcoming Federal Reserve rate decisions, synthesizing analyst commentary, press coverage, and futures-driven narratives.
Central bank communication cycles — FOMC meetings, minutes releases, and Chair speeches — can shift sentiment readings sharply within minutes. Divergences between the Sentiment and Awareness scores are particularly informative: elevated Awareness with flat Sentiment often signals a policy event is being absorbed, not yet resolved.
Key drivers
- FOMC meeting statements and minutes
- Fed Chair speeches and congressional testimony
- Dot plot rate projections
- CPI and PCE inflation releases
- Non-farm payrolls and unemployment data
Reading the Policy Bias scale
- 0-20Extremely DovishCoverage dominated by risk-aversion signals; narrative heavily skewed toward dovish conditions.
- 21-40DovishBelow-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.
- 61-80HawkishPositive momentum building in the narrative; coverage tilting toward hawkish catalysts and upside scenarios.
- 81-100Now · 100Extremely HawkishElevated risk of mean-reversion. Watch for sentiment exhaustion signals and divergence from the Awareness score.
How to use this index
- Use the Policy Bias score to gauge the prevailing narrative bias for Market Expectations 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 interest rate expectations, fed rate outlook, ai market sentiment, internet rate sentiment, alternative data rates - helping traders and analysts track Market Expectations policy bias shifts in real time.
Latest news
Market Expectations in the news
The headlines feeding this index, newest first.
Treasury yields stay high as inflation and AI spending persist
The Federal Reserve’s latest rate hike lands in an economy where inflation is still running hot and growth is no longer weak enough to keep borrowing costs low for long.
Read moreAI Investment and Fed Rate Cuts
Artificial intelligence is moving from a productivity story to a monetary-policy variable, and that could matter for how fast the Federal Reserve cuts rates.
Read moreFerrari Benefits From Higher U.S. Interest Rates
Higher U.S. interest rates are sharpening the case for Ferrari, whose scarcity-driven pricing power and wealthy buyer base make it far less exposed to the Fed than the broader auto industry.
Read moreFed Rate Increase Raises Retiree Income, Market Volatility
The Federal Reserve’s first rate increase in three years is a mixed blessing for retirees: savings and short-term fixed-income products now offer better income, but the policy shift also raises volatility across stocks and bonds that many older investors rely on for steady returns.
Read moreOil Drop Drives Yields, Stocks, Gold, and Yen
Global markets reversed course this week not because of the Federal Reserve’s hawkish message, but because oil prices fell sharply enough to shift expectations for inflation, rates and growth across asset classes.
Read moreUS equity funds post fourth straight weekly outflows
US equity funds saw their fourth consecutive week of withdrawals as rising crude prices and a more hawkish Federal Reserve kept investors on the defensive ahead of the central bank’s policy decision.
Read moreThailand warns on Fed rate hike spillover
Thailand’s top economic planner is warning that the Federal Reserve’s quarter-point rate increase could ripple through global markets, push up borrowing costs and force Bangkok to prepare for financial shocks rather than assume the turbulence will stay overseas.
Read moreChile rates likely to rise after Fed hike
Chile’s next monetary policy move is likely to be a rate hike, not a cut, after the Federal Reserve delivered its first increase since July 2023 and pushed up global funding costs, economists said.
Read moreRinggit falls vs dollar after Fed rate hike
The ringgit weakened against the US dollar after the Federal Reserve delivered another quarter-point rate increase, but its gains against the euro, yen and pound show the bigger trade is still about relative policy, not just one-way dollar strength.
Read moreSouth Korea Faces Higher Rates After Fed Hike
The Federal Reserve’s first rate increase in 3 years and 2 months is forcing South Korea’s policymakers and banks to confront a wider policy gap, stronger dollar pressure and the likelihood of higher domestic borrowing costs.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Market Expectations index?
Alternative data signal measuring market-implied expectations for upcoming Federal Reserve rate decisions, synthesizing analyst commentary, press coverage, and futures-driven narratives.
How is the Market Expectations index calculated?
The Market Expectations index is derived from AI-powered NLP analysis of thousands of online news sources, blogs, and financial commentary. Sentiment scores range from 0 (Extremely Dovish) to 100 (Extremely Hawkish), 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 Market Expectations 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.