History · 3 years
Overview · Sentiment index · updated daily
About the DJIA Sentiment
Machine-learning fear and greed signal for the Dow Jones Industrial Average - tracking blue-chip earnings cycle sentiment, industrial production dynamics, and blue-chip investor risk appetite.
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 FearCoverage dominated by risk-aversion signals; narrative heavily skewed toward fear conditions.
- 21-40FearBelow-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.
- 61-80GreedPositive momentum building in the narrative; coverage tilting toward greed catalysts and upside scenarios.
- 81-100Now · 92Extreme GreedElevated 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 DJIA 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 djia trade signals, dow jones outlook, ai equity trade signals, industrial stocks analysis, alternative data equities - helping traders and analysts track DJIA sentiment shifts in real time.
Latest news
DJIA in the news
The headlines feeding this index, newest first.
SPY and QQQ Rise as 10-Year Yield Holds Near 4.96%
Equity benchmarks linked to Europe and the United States are extending gains as bond markets settle into a fragile equilibrium, with the U.S. 10-year Treasury yield holding near 4.96% and the 2s/10s curve at about 25 basis points.
Read moreDow, EUR/JPY and Natural Gas Diverge on Yields
The biggest market development is a rebound in risk assets and the dollar-dollar complex at the same time, even as U.S. natural gas futures stall at a key technical ceiling. That combination matters because it points to a market still trying to price higher-for-longer rates, a firmer greenback and uneven appetite for cyclical assets — a setup that can reward relative-value trades more than broad index exposure.
Read moreMastercard Moves Into AI Agent Shopping
Mastercard is moving to make AI agents a new kind of shopper, a shift that could reshape how payments are made online and who captures the value when software, not people, decides what to buy.
Read moreNike to Leave S&P 100 as Dow Exit Question Builds
Nike is under fresh scrutiny about how much longer it can keep its place in the Dow Jones Industrial Average after S&P Dow Jones Indices confirmed the sportswear giant will leave the S&P 100 at the end of the month.
Read moreDow Slips as Treasury Yields Near 5%
The Dow Jones slipped while U.S. Treasury yields pushed back toward 5%, underscoring how quickly higher borrowing costs can dent the appeal of blue-chip stocks and keep Wall Street on edge.
Read moreCoinbase, MicroStrategy Fall as Crypto Bill Stalls
Crypto investors got a fresh reminder that Washington still controls the pace of the market’s next big re-rating: a landmark digital-asset bill failed a procedural vote, clouding the timeline for clearer US rules and hitting the sector’s policy premium.
Read moreDow Rallies as Oil Prices Pull Back
Oil prices are doing what investors love most: giving the market breathing room.
Read moreU.S. stock futures rise before August CPI data
U.S. stock futures are pointing higher Friday as investors brace for August inflation data that could reset expectations for Federal Reserve policy and determine whether the recent market pullback extends into a broader rate-driven selloff.
Read moreHong Kong Court Rules Against Dow Jones in Union Case
A Hong Kong court has found Dow Jones guilty of trying to stop a Wall Street Journal journalist from taking a union leadership role, a ruling that sharpens scrutiny of press freedoms in a city where media independence has already been eroded since Beijing imposed its national security law.
Read moreWall Street falls as oil and yields rise
Wall Street finished in the red as rising oil prices and a broad bond selloff kept pressure on equities, with the Dow Jones Industrial Average down 0.77% and extending a three-day losing streak.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the DJIA index?
Machine-learning fear and greed signal for the Dow Jones Industrial Average - tracking blue-chip earnings cycle sentiment, industrial production dynamics, and blue-chip investor risk appetite.
How is the DJIA index calculated?
The DJIA index is derived from AI-powered NLP analysis of thousands of online news sources, blogs, and financial commentary. Sentiment scores range from 0 (Extreme Fear) to 100 (Extreme Greed), 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 DJIA 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.