Archived snapshot from 17 Aug 2026, 19:02 UTCclick here for the latest live data →

SentimentFeed

real time stock market sentiment dashboard

Generated 17 Aug 2026, 19:02 UTC
next refresh 20:02 UTC

A real time sentiment feed for equities. Every hour this stock market sentiment dashboard re-reads the entire market feed, scores it, and republishes the result as a plain ticker feed — a stock sentiment tracker covering momentum, sector and theme rotation, market regime and tail risk in one page. No login, no sign-up.

Fear & Greed54NeutralFearGreed
Systemic risk30CalmCalmStressed
Market regimeBullBull 84% · Side 16% · Bear 0%
Volatility (VIX)15.2Forecast 11.4% ann.
Dollar regimeMIXED10Y 4.71% · DXY 99.5

Regime read: LONG · expected +2.83% ± 5.22% over an optimal 30-day hold · signal/noise 0.54 — inside one standard deviation of noise.

Modal state is Bull (84.5% posterior, +42.8%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1349%/day and dominates. Net +0.1343%/day.

Stock sentiment tracker — strongest tickers

TickerScoreSectorFwd P/EPEGY52w posWhat is driving it
RDDT+10.5Communication Services17.51.1530%[DD] Why $RDDT goes to $1,000 the exact second their AI team figures out Post-Nut Clarityprofitable
UBER+9.2Information Technology17.28.4328%Uber and Zipline partner on drone delivery for Uber EatsprofitableExpensive PEGY (>2)Mean Reversion: Euphoria (Short)
BABA+7.1Consumer Discretionary13.70.5132%Alibaba sells Lingxi Games to Trustar Capital for $1.5 billionprofitablePEGY < 0.75Fwd P/E < 15
SNDK+5.4Information Technology6.775%SNDK gainsprofitableFwd P/E < 15
KKR+4.2Financials14.60.5836%KKR (KKR) Remains Strong Despite Credit FearsconvictionprofitablePEGY < 0.75Fwd P/E < 15

Score is a decayed sum of scored coverage over the last 24 hours (18-hour half-life). Valuation metrics are point-in-time.

Ranked watchlist

NO TRADE: every ranked play has a negative expected net gain after costs in the current regime. The table is a relative ordering, not a buy list.

#TickerSideP(win)EV 48hEV 1wEV 1mWhy
1TTMILONG56.6%-0.34-0.28-0.34High conviction: undervalued + positive sector momentum; Quality: F-score 8/9
2SNAPLONG51.6%-0.34-0.28-0.34Despair reversion: sentiment -7 but undervalued; Quality: F-score 7/9
3CPRILONG51.6%-0.34-0.28-0.34Despair reversion: sentiment -4 but undervalued; Quality: F-score 8/9
4SNDKLONG30.7%-0.25-0.40-0.88Hot sentiment (decayed score 5.4); Accelerating velocity +8.0 (3 mentions/12h)
5KKRLONG29.5%-0.27-0.37-0.76Hot sentiment (decayed score 4.3); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; Accelerating velocity +7.0 (2 mentions/12h)
6SPCXLONG23.7%-0.20-0.36-0.65Accelerating velocity +10.4 (3 mentions/12h)
7RDDTLONG20.5%-0.21-0.45-1.30Hot sentiment (decayed score 9.6); CIO meta-model current selection; Quality: F-score 7/9
8BABALONG18.9%-0.21-0.40-0.96Hot sentiment (decayed score 7.2); Valuation corroborated (PEGY/fwd-PE/EV checks); Accelerating velocity +10.4 (4 mentions/12h); ⚠ Earnings in 3d — event risk inside hold window

Engine hit rate 44.6% over 287 scored calls (lower bound 39.0%), average net alpha -0.137%. Serving: incumbent.

A relative ordering produced by the model, not a recommendation. Expected values are net of a 0.15% round-trip cost.

Catalyst watch

  • VREXBullishBuyout82

    Teledyne Technologies' acquisition of Varex Imaging Corporation (VREX) at a 52% premium provides a strong bullish catalyst, but risk-adjusted conviction is-capped to avoid treating the nominal offer price as an absolute physical floor.

    2026-08-16 01:20
  • AVBBearishIndex_Deletion85

    S&P 500 deletion triggers non-discretionary passive selling pressure that typically outweighs short-term fundamental value gaps until a liquidity bottom is found.

    2026-08-15 11:12
  • CLBTBearishEarnings92

    A 29% plunge following a revenue guidance cut for 2026 suggests a systemic growth failure rather than a temporary dip, signaling a fundamental erosion of trust in management's execution.

    2026-08-15 03:37
  • CBRSBearishEarnings85

    Cerebras Systems (CBRS) experienced a significant price plunge following earnings, signaling a market rejection of its valuation and a fundamental disconnect between AI hype and actual execution.

    2026-08-13 12:40
  • ONONBearishEarnings82

    A tempered outlook due to underwhelming running-shoe sales in a high-multiple growth stock is a fundamental valuation reset catalyst rather than a temporary dip.

    2026-08-13 00:13
  • NBIXBearishRegulation82

    Safety concerns regarding Vykat in a biotech pipeline are fundamentally bearish catalysts as they increase regulatory risk and probability of clinical failure, outweighing speculative 'blood in the streets' buying opportunities.

    2026-08-12 13:10
  • ABNBBullishEarnings82

    A massive 17% jump following a blowout earnings beat suggests strong momentum and pricing power, but conviction is capped by the potential for 'sell the news' profit-taking and macro travel spending risks.

    2026-08-10 10:50
  • DVBullishBuyout82

    Nielsen's $2.15 billion takeover of DoubleVerify is a major bullish catalyst, but the stock will likely trade at a discount to the offer price due to deal risk and the correctness of the pre-announcement run-up.

    2026-08-08 12:21
  • UTZBullishBuyout85

    The announcement of a cash buyout to take the company private is a primary catalyst for price convergence toward the offer price, though conviction is tempered by the M&A arbitrage spread and potential 'sell the news' dynamics.

    2026-08-08 11:40
  • DDOGBearishMacro85

    Datadog's 19% plunge as a leader of the software sector slide suggests systemic risk and valuation reset rather than a temporary dip, signaling a high probability of continued downward pressure.

    2026-08-08 05:11

Discrete events extracted from the last 14 days of coverage, with a model conviction score out of 100.

Ticker feed — accelerating now

TickerVelocityVolStory
UBER+11.24Uber and Zipline partner on drone delivery for Uber Eats
SPCX+10.43SpaceX Stock Tests Resistance, Attempts To Retake Debut Price
BABA+10.44Alibaba sells Lingxi Games to Trustar Capital for $1.5 billion
SNDK+8.03SNDK gains
KKR+7.02KKR (KKR) Remains Strong Despite Credit Fears

Change in scored coverage over the last 12 hours versus the prior 12.

Under pressure

SNAP-9.0Snap Drops 3% After Ninth Circuit Strips Away Its Immunity Shield, Reddit Eases
CPRI-3.6Capri Holdings stock hits 52-week low at 14.77 USD
ONDS-3.4Red Cat Slides 4% on Maritime Autonomy Deal, Ondas Holdings Pulls Back
MXL-2.9MaxLinear Stock Sells At A Price Its Trailing Year Cannot Explain
INSP-2.8Earnings call transcript: InspireMD Q2 2026 revenue miss weighs on shares

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Information Technology+76+728+1,314
Financials+76+624+2,403
Energy+51+199+1,706
Materials+19-3+171
Communication Services-20-64-291
Health Care-1-99-172
Industrials-26-183-543
Utilities-17-207-871
Consumer Staples-42-273-702
Consumer Discretionary-83-326-1,359
Real Estate-34-397-1,658

Industry cuts (1W)

  • Artificial Intelligence+1,801
  • Cybersecurity-362
  • Electric Vehicles-356
  • Gold & Commodities-231
  • Biotechnology-218
  • Semiconductors-201
  • FinTech-132
  • Aerospace & Defense-119

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Monetary Policy+25.2+20
Biotechnology+15.5+25
Emerging Markets+13.7+16
Capital Markets+13.5+23
Consumer Sentiment-19.5-21
Stagflation-24.0-24
Inflation-26.5-26
Artificial Intelligence-71.5+223

Velocity is the rate of change in theme coverage; level is its net sentiment balance.

Structural themes

ThemeSourcesConviction
financial regulation14482
defense security12275
banking12175
transport mobility11565
geopolitics10775
healthcare policy10662
monetary policy9966
agriculture food8274
education skills7245
capital markets6059

A slower reading than the panels above. Sources counts the documents behind a theme; conviction weighs how many independent sources agree, how recent they are and how strong the signal is. Moves over weeks, not hours.

Companies in the structural record

TickerCompanyWeight
LMTLockheed Martin1,016
Primary supplier of defense systems and aircraft amid rising regional conflicts.
defense security, financial regulation, geopolitics, trade policy
BLKBlackRock998
Its Aladdin platform is a primary tool for institutional risk management amid monetary policy shifts.
banking, financial regulation, geopolitics, monetary policy
PLTRPalantir Technologies746
Provides data integration and analytics platforms used by governments for fraud detection and intelligence.
defense security, financial regulation, geopolitics, industrial policy
MSCIMSCI Inc616
Provides critical data and transparency tools that help firms meet evolving regulatory reporting standards.
banking, financial regulation
JPMJPMorgan Chase & Co595
High exposure to US regulatory scrutiny and the associated costs of maintaining massive compliance operations.
banking, financial regulation, monetary policy
ICEIntercontinental Exchange479
Operates global exchanges and clearing houses benefiting from modernized market plumbing.
capital markets, financial regulation, monetary policy
HDBHDFC Bank449
Strong internal governance and compliance frameworks provide a relative advantage over smaller peers during regulatory crackdowns.
banking, financial regulation, monetary policy
MUFGMitsubishi UFJ Financial Group443
Large Japanese bank exposed to Bank of Japan monetary base and liquidity operations.
banking, financial regulation, monetary policy
NOCNorthrop Grumman404
Specializes in autonomous systems, drones, and space security.
defense security, geopolitics, trade policy
HSBAHSBC Holdings363
Faces significant capital expenditure to modernize legacy back-office systems to meet new regulatory and speed standards.
banking, financial regulation, monetary policy

Weight is how prominently a company features across the document corpus, with the reason for its exposure underneath. These are the names that recur in policy and regulatory material, which is a different population from the tickers moving on today's news.

Forward view

Regulatory enforcement surge drives demand for RegTech and government digital modernization

Confidence 85/100

1. Increased aggressive enforcement against fraud and deceptive advertising raises the cost of non-compliance and increases legal risks for financial firms. 2. This creates a direct catalyst for the adoption of automated compliance, monitoring, and forensic tools (RegTech). 3. The simultaneous push for digital modernization in US/UK regulatory bodies necessitates large-scale procurement of cloud infrastructure, data

Better placed: RegTech providers, government IT consultancy, cloud infrastructure (GovCloud), forensic accounting services

More exposed: predatory lending/BNPL fintechs, high-frequency trading with opaque strategies, legacy financial institutions with poor data governance, aggressive digital marketing agencies for financial products

Named: PLTR, ACN, MSCI, AFRM

What would break this: A shift toward deregulation following election cycles or systemic failure/budget cuts in government digital transformation projects would invalidate this thesis.

Regulatory enforcement and liquidity controls increase operational costs for non-compliant banks

Confidence 85/100

Central bank penalties for asset classification and operational failures directly impact bottom lines through fines and increased provisioning requirements. In India, the use of VRRR auctions to manage systemic liquidity can tighten the available capital for commercial banks, potentially squeezing net interest margins (NIMs). This environment creates a performance divergence between institutions with robust governanc

Better placed: RegTech software providers, compliance consulting services, tier-1 banks with high governance standards

More exposed: mid-tier commercial banks, non-compliant financial intermediaries, legacy banking infrastructure providers

Named: HDB, YESB, JPM, NICE

What would break this: A sudden shift toward deregulation or a pivot to aggressive monetary easing would reduce the pressure on bank liquidity and compliance costs.

RBI liquidity tightening and NBFC scrutiny pressure non-bank funding costs

Confidence 85/100

The RBI's use of VRRR auctions to absorb excess liquidity reduces the overall pool of loanable funds in the banking system, which typically leads to higher borrowing costs for financial intermediaries. Since Non-Banking Financial Companies (NBFCs) rely heavily on bank borrowings and wholesale markets rather than deposits, they are more sensitive to these liquidity drains. Simultaneously, strict regulatory oversight r

Better placed: large systemic commercial banks, regulatory compliance technology providers, high-credit-rating NBFCs

More exposed: small to mid-sized NBFCs, high-leverage shadow banking entities, unsecured consumer credit lenders

Named: HDB, BAJFINANCE, SBIN, ICICI

What would break this: A significant increase in foreign portfolio investment (FPI) inflows could offset VRRR absorption, or a pivot by the RBI toward an accommodative stance to stimulate growth.

RBI liquidity tightening and rate harmonization to pressure banking funding costs

Confidence 80/100

1. Active liquidity absorption via VRRR auctions reduces the surplus of loanable funds in the banking system. 2. This typically increases short-term borrowing costs for financial institutions, particularly those lacking strong retail deposit bases. 3. The shift toward a principles-based regulatory framework for interest rates aims to standardize pricing across regulated entities. 4. Together, these factors likely com

Better placed: banks with high CASA ratios, regulatory compliance technology providers, short-term government security holders

More exposed: wholesale-funding dependent NBFCs, lenders with inefficient pricing models, rate-sensitive corporate borrowers

Named: HDB, IBN, SBIN, AXIS

What would break this: A sudden pivot by the RBI toward liquidity injection or a failure to implement the principles-based framework would invalidate the pressure on margins.

Government capital and procurement shifts favor agile tech scale-ups and consultants

Confidence 80/100

Direct capital investment reduces the cost of entry for innovative firms, while expanded procurement frameworks (e.g., G-Cloud) create predictable revenue streams from public contracts. Tailored regulatory guidance lowers operational friction for scale-ups, shifting competitive advantage toward companies capable of integrating modern technology into government infrastructure.

Better placed: government IT services, digital transformation consultancy, high-growth tech scale-ups, public sector software providers

More exposed: legacy non-digital incumbents, traditional procurement intermediaries, rigid corporate structures unable to pivot to agile frameworks

Named: PLTR, BAH, ACN, LDOS

What would break this: Fiscal austerity measures or political regime changes that revoke funding initiatives or increase bureaucratic red tape.

Geopolitical volatility shifts focus toward defense, supply chain resilience, and food security

Confidence 80/100

1. Persistent regional conflicts increase national security budgets and demand for advanced weaponry. 2. Vulnerabilities in trade chokepoints force a transition from 'just-in-time' to 'just-in-case' logistics, favoring diversified shipping and nearshoring. 3. Severe hunger crises and health outbreaks drive investment into agricultural productivity and medical infrastructure. 4. The decline of multilateralism encourag

Better placed: defense and aerospace, cybersecurity, agricultural technology, strategic mineral mining

More exposed: global consumer discretionary, traditional just-in-time logistics, international tourism, multilateral trade consultancy

Named: LMT, DE, CRWD, MAERSK

What would break this: A sudden resurgence of multilateral diplomacy or comprehensive peace settlements in Ukraine and Gaza would diminish the premium on defense and resilience spending.

Financial infrastructure digitalization drives operational efficiency and expands market trading windows

Confidence 80/100

1. Transitioning to electronic delivery and updated IPO processes reduces friction in capital formation, likely increasing the volume of listings and corporate actions. 2. The shift toward 24-hour trading necessitates a move from batch processing to real-time data streaming and automated risk management. 3. Modernizing corporate transfers lowers administrative overhead for issuers. 4. New captive insurance regimes cr

Better placed: financial technology (FinTech) providers, cloud computing infrastructure, electronic exchange operators, specialized insurance brokerage

More exposed: legacy manual processing services, traditional print-based financial administration, firms reliant on rigid T+2 settlement windows, traditional business-hours only brokerage models

Named: ICE, NDAQ, LSEG, BR, MSFT

What would break this: Regulatory reversal or failure to achieve cross-border synchronization in settlement standards could stall adoption; cybersecurity breaches in new electronic systems may trigger a return to conservative legacy protocols.

Regulatory tightening and monetary stability efforts increase banking compliance costs

Confidence 80/100

Increased Federal Reserve enforcement actions necessitate higher spending on internal controls and legal remediation for financial institutions. Simultaneously, the focus of US and UK central banks on rate management and governance creates a volatile environment for net interest margins while demanding stricter risk oversight. This combination shifts value toward providers of regulatory infrastructure and away from b

Better placed: RegTech software, compliance consulting services, risk management platforms, legal and audit firms

More exposed: mid-sized commercial banking, high-leverage financial intermediaries, legacy banking operations with weak governance

Named: MSCI, SPGI, ACN, BLK

What would break this: A significant shift toward deregulation in the US administration or an unexpected failure of central banks to stabilize rates would invalidate the thesis.

Readings drawn from the document corpus, not from price action. Each carries the case against it, because a view without a stated way to be wrong is not worth much. Nothing here is investment advice or a recommendation to buy or sell anything.

Model consensus

ModelVoteTrust
Markov Regime EngineUP50%
Macro Factor GateUP55%

Consensus: BULLISH

Benched

  • SPY Neural Net (1w) — realized hit rate 48.6% is below a coin flip — vote suspended until it recovers
  • Sector NN Breadth — realized hit rate 45.3% is below a coin flip — vote suspended until it recovers

Weekly index projection: +0.66% (80% band -1.75% to +1.82%).

Votes are weighted by each model's realised hit rate and suspended when it falls below its baseline.

Volatility & tail risk

Forecast volatility11.4% ann.
Percentile vs 6 months49%
Variance risk premium+3.2
Daily VaR (5%)-1.56%
Weekly VaR (5%)-3.48%
Weekly expected shortfall-5.55%

Premium in normal range — ⚠ LOW CONFIDENCE: the HAR fit (R²=0.06 in-sample / 0.14 OOS, worst 0.06) explains almost none of realized vol, so the forecast leg of this premium is weak

HAR realised-volatility forecast with a generalised Pareto tail fit.

Story cascades

ThemeBranchingHalf-lifeState
Inflation0.841.4hELEVATED
Artificial Intelligence0.800.7hELEVATED
Oil & Gas0.791.4hELEVATED
M&A0.691.9hSUBCRITICAL
FinTech0.611.0hSUBCRITICAL
Cloud & Data Centers0.611.4hSUBCRITICAL
Interest Rates0.590.6hSUBCRITICAL
Aerospace & Defense0.551.3hSUBCRITICAL

Self-excitation of coverage per theme. A branching ratio near 1 means each story is spawning roughly one more.

Market feed volume

Scored today1,253
Yesterday, same hour784
Projected close of day1,557
Daily average1,340
Flow ratio vs normal0.92×
Total in corpus159,471

Volume of scored market coverage. Ratios below 1 mean a quiet tape.