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SentimentFeed

Every hour, the entire US market is re-read and scored — sentiment, systemic risk, market regime, sector rotation and tail risk, distilled into one live page.

Fear & Greed55Neutral
Systemic risk32Calm
Market regimeBullBull 91% · Side 9% · Bear 0%
Join free Updated 08 Oct 2026, 12:01 UTC · next refresh 13:01 UTC
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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 to read it.

Fear & Greed55NeutralFearGreed
Systemic risk32CalmCalmStressed
Market regimeBullBull 91% · Side 9% · Bear 0%
Volatility (VIX)15.8Forecast 11.7% ann.
Dollar regimeHOSTILE10Y 5.28% · DXY 102.4

Regime read: LONG · expected +2.89% ± 5.05% over an optimal 30-day hold · signal/noise 0.57 — inside one standard deviation of noise.

Modal state is Bull (90.9% posterior, +37.2%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1275%/day and dominates. Net +0.1287%/day.

Same hours, earlier readings — the fastest way to see whether today is unusual.

Stock sentiment tracker — strongest tickers

TickerScoreSectorFwd P/EPEGY52w posWhat is driving it
NVDA+169.7Information Technology14.90.2993%Dell Turned $1,000 Into $11,641 in Five Years as AI Servers Crushed the S&P 500profitablePEGY < 0.75Fwd P/E < 15Near 52w High
MSFT+67.3Information Technology22.41.6588%Italy Launches EU-Backed Probe Into Microsoft-Owned Gaming Firmsprofitable
MRVL+62.4Information Technology42.20.9683%Marvel Biosciences Reports MB-204 as Highly Effective at Treating Autism Behaviours in Shank3 Mouse ModelprofitableExtended FWD P/EMean Reversion: Euphoria (Short)
CEG+57.8Utilities22.53.4939%Jim Cramer Sees Something Worth Revisiting in These Power StocksprofitableExpensive PEGY (>2)EARNINGS DECLINING YoY (-47%)
AMD+57.1Information Technology41.10.6697%TSMC Sales Are a Big Win for the AI Trade. Why AMD and Other Chip Stocks Are Falling Anyway.profitablePEGY < 0.75Near 52w HighExtended FWD P/E

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
1TSMLONG43.4%-0.15-0.15+0.41Accelerating velocity +8.9 (15 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9
2MSFTLONG44.8%-0.08-0.25-0.15Hot sentiment (decayed score 67.3); ⚠ Hostile macro: rising dollar + rising yields
3CMELONG45.0%-0.11-0.23+0.21Accelerating velocity +7.8 (3 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
4TOLLONG45.0%-0.11-0.23+0.21Accelerating velocity +7.2 (3 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
5TSLALONG45.0%-0.11-0.23+0.21Accelerating velocity +7.1 (6 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
6GNRCLONG43.4%-0.15-0.15+0.41Accelerating velocity +7.6 (3 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
7AVGOLONG40.5%-0.21-0.08+0.56High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9
8MULONG40.5%-0.21-0.08+0.56High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9

Engine hit rate 41.0% over 654 scored calls (lower bound 37.3%), average net alpha -0.273%. Serving: rules.

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

Catalyst watch

  • AVBPBearishClinical Trial95

    The late-stage failure of ArriVent’s lead asset is a fundamental thesis-breaking event that likely drives a greater-than-5% decline as investors reassess commercialization prospects, cash-burn risk, and the speculative value of the remaining pipeline.

    2026-10-06 14:51
  • LQDABearishRegulation84

    The court ruling for United Therapeutics is a confirmed, material legal setback that threatens Liquidia’s commercialization and valuation, making this a structural bearish catalyst rather than routine volatility or a buy-the-dip opportunity.

    2026-09-30 18:50

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

Interesting Movement

  • PL▲ more likely to outperform65% chance

    PL — an estimated 65% probability of outperforming S&P 500 over next 5 trading days.

  • FTNT▲ more likely to outperform63% chance

    FTNT — an estimated 63% probability of outperforming S&P 500 over next 5 trading days.

  • PANW▲ more likely to outperform60% chance

    PANW — an estimated 60% probability of outperforming S&P 500 over next 5 trading days.

  • RCL▲ more likely to outperform54% chance

    RCL — an estimated 54% probability of outperforming S&P 500 over next 5 trading days.

  • RKLB▲ more likely to outperform53% chance

    RKLB — an estimated 53% probability of outperforming S&P 500 over next 5 trading days.

  • CRWD▲ more likely to outperform51% chance

    CRWD — an estimated 51% probability of outperforming S&P 500 over next 5 trading days.

  • EVH▲ more likely to outperform51% chance

    EVH — an estimated 51% probability of outperforming S&P 500 over next 5 trading days.

  • NOK▲ more likely to outperform51% chance

    NOK — an estimated 51% probability of outperforming S&P 500 over next 5 trading days.

  • TW▲ more likely to outperform51% chance

    TW — an estimated 51% probability of outperforming S&P 500 over next 5 trading days.

Each figure is our modelled probability that the stock beats S&P 500 over next 5 trading days — so “66% chance” means we estimate roughly a two-in-three chance it outperforms, not a predicted price move. Higher = a stronger signal; ranked strongest first and refreshed each update. Not financial advice.

Ticker feed — accelerating now

TickerVelocityVolStory
TSM+13.916TSMC Q3 2026 revenue hits record on AI chip demand
ISRG+9.84The Monopolistic Razor-and-Blade Engine I Can’t Stop Buying
SYK+8.231 Profitable Stock on Our Watchlist and 2 We Ignore
CME+7.83CME Group's international ADV rises 22% in Q3
GNRC+7.63Why is Generac stock climbing today?

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

Under pressure

BULL-40.3Why Are Nasdaq, Dow Futures Falling Premarket? MU, TSM, APLD, IONQ, HOOD, BULL, SLS In Focus
NKE-21.7Nike and LVMH Took China for Granted—and Both Stocks Are Paying the Price
ARGX-13.6Argenx falls after ending late-stage trial for Sjögren's disease therapy
MCD-11.8Hold the bot: Chick-fil-A bucks the restaurant AI ordering push
FCEL-11.8FCEL Stock Plummets as FuelCell's CFO Steps Down

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Information Technology+508+2,709+4,777
Energy+200+426+3,248
Industrials+7+375+1,070
Health Care+30+58+791
Financialsbearish reversal-21+8+3,703
Communication Servicesbearish reversal-22-94+400
Materialsbearish reversal-73-282+71
Consumer Staples-63-395-439
Utilities-122-601-3,656
Consumer Discretionary-155-756-3,319
Real Estate-289-1,447-6,644

Industry cuts (1W)

  • Artificial Intelligence+5,836
  • Gold & Commodities-1,039
  • Oil & Gas-1,024
  • Electric Vehicles-893
  • Biotechnology-878
  • FinTech-854
  • Cybersecurity-680
  • Aerospace & Defense-607

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Artificial Intelligence+532.2+1,425
Data Centers+133.2+248
Semiconductors+107.3+261
Cloud Computing+60.7+129
Global Markets-43.0-45
Risk Aversion-45.8-47
Market Sentiment-46.7-45
Interest Rates-302.8-574

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

Structural themes

ThemeSourcesConviction
geopolitics29459
defense security23959
healthcare policy20451
infrastructure12749
trade policy11356
pharma biotech11251
climate policy11046
energy policy10158
financial regulation9355
transport mobility8849

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.

How the trends connect

Geopolitical competition fragments trade while preserving selective cooperation 86/100

How: China–US rivalry, national-security trade policies, and allied supply-chain alignment push countries toward self-reliance and strategic diversification, while issue-based partnerships prevent complete economic fragmentation.

Resolves to: Cross-border commerce becomes more expensive and politically conditioned, favoring domestic capacity, trusted-country networks, and firms able to operate across competing blocs.

Converging trends: More contested multipolarity with selective cooperation &middot; Allied alignment hardens around China competition &middot; Trade Policy Shifts Toward National Security Focus

Energy security and clean expansion create a volatile dual-track system 84/100

How: Rising electricity demand and rapid solar deployment coexist with constrained oil supply, managed production, and restricted diesel markets, forcing governments to secure both fossil fuels and renewables rather than replace one with the other.

Resolves to: Energy transition investment accelerates, but hydrocarbons remain a price and inflation vulnerability; energy-security premiums and policy volatility benefit diversified suppliers and resilient infrastructure.

Converging trends: Rising Demand Drives Energy Security Measures and Solar Expansion &middot; Energy security tightens amid demand growth and managed supply &middot; Oil supply remains constrained despite clean-energy transition pressure

Security threats and alliance hardening accelerate preparedness spending 81/100

How: Broader conflict, cyber, hybrid, climate, health, and displacement risks reinforce military modernization and prevention efforts, while stronger allied alignment increases coordination and institutionalizes resilience measures.

Resolves to: Security budgets, surveillance, mobility, and resilience infrastructure gain durable support, but greater preparedness can also deepen geopolitical competition and raise escalation risks.

Converging trends: Security risks are broadening, driving prevention and preparedness &middot; Rising Conflict and Security Cooperation &middot; Allied alignment hardens around China competition

Looser commercial space rules meet intensifying strategic competition 73/100

How: Streamlined US commercial launch licensing lowers barriers to space activity just as military technology competition and China-focused security alignment increase the strategic importance of launch capacity.

Resolves to: Commercial space growth may accelerate and attract capital, while launch providers face heightened scrutiny, geopolitical constraints, and pressure to serve both civilian and national-security markets.

Converging trends: Commercial space licensing is moving toward streamlined regulation &middot; Allied alignment hardens around China competition &middot; Security risks are broadening, driving prevention and preparedness

Where separate structural trends independently point at the same mechanism and the same winners and losers. The highest-order reading in the feed — it moves over months and is drawn from the document corpus, not price action. Not investment advice.

Companies in the structural record

TickerCompanyWeightShort-termRead
NEENextEra Energy352——
Large U.S. utility and renewable-power developer with exposure to wind, solar, storage, and grid investment.
agriculture food, banking, climate policy, energy policy
ACNAccenture328——
Advises financial institutions on regulatory compliance, controls, cybersecurity, and operational resilience.
banking, defense security, education skills, energy policy
PLTRPalantir Technologies320——
Provides AI-driven data analytics for intelligence and hybrid threat detection.
defense security, financial regulation, geopolitics, immigration
SIEGYSiemens312——
Industrial automation, electrification, and infrastructure systems are relevant to regional resilience and coordinated industrial modernization.
climate policy, energy policy, geopolitics, industrial policy
CATCaterpillar302——
Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs
agriculture food, climate policy, defense security, geopolitics
LMTLockheed Martin288——
Primary supplier of missile systems and aircraft used in regional conflicts.
defense security, financial regulation, geopolitics, industrial policy
SU.PASchneider Electric284——
Provides electrical equipment, automation, and energy-management systems supporting grid modernization and industrial efficiency.
climate policy, energy policy, financial regulation, infrastructure
AIR.PAAirbus278——
Supplies military transport aircraft and defense systems to European allies.
climate policy, defense security, energy policy, geopolitics
MSFTMicrosoft273+67.3diverging
Cloud infrastructure (Azure) essential for the shift to 24/7 real-time financial operations.
climate policy, education skills, energy policy, financial regulation
TRIThomson Reuters Corp267——
Provides legal, tax, risk, and compliance information and workflow tools used by regulated organizations.
banking, financial regulation, geopolitics, 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. Where a name also has a current sentiment score, both are shown: aligned means they point the same way, diverging means one horizon has not caught up with the other.

Forward view

Geopolitical volatility and AI asymmetric threats drive defense and cybersecurity spending

Confidence 85/100

Persistent regional conflicts increase demand for conventional munitions and logistics. The 'acceleration gap' in AI adoption by non-state actors forces governments to accelerate procurement of AI-driven counter-terrorism, surveillance, and intelligence tools. Hybrid threats necessitate a shift toward secure communications and cyber-defense infrastructure. Simultaneously, large-scale displacement increases the requir

Better placed: aerospace and defense, cybersecurity, AI-driven intelligence and surveillance, satellite communications

More exposed: regional tourism, commercial aviation (flight path disruptions), just-in-time global supply chains, traditional diplomacy-reliant trade

Named: LMT, PLTR, CRWD, BKNG, RTX

What would break this: A comprehensive global treaty on AI weaponry or a sudden diplomatic resolution to the Ukraine and Gaza conflicts would reduce the urgency for rapid defense procurement.

Asymmetric threats drive demand for AI-powered surveillance and autonomous defense systems

Confidence 85/100

Non-state actors are utilizing low-cost, high-impact technologies like drones and AI to bypass traditional security, creating a technological gap. This forces governments to pivot from legacy hardware toward frontier technologies. Persistent regional conflicts act as accelerators, providing real-time data on the efficacy of these asymmetric tools, which in turn necessitates urgent investment in early warning systems,

Better placed: AI-driven surveillance and intelligence, counter-UAS (Unmanned Aircraft Systems), satellite imagery and GEOINT, critical infrastructure cybersecurity

More exposed: legacy heavy armor platforms, traditional physical border security, conventional non-precision munitions, static perimeter defense hardware

Named: PLTR, AVAV, LMT, CRWD, GD

What would break this: A sudden global shift toward disarmament treaties or the implementation of highly restrictive international AI regulations could slow the procurement of frontier defense technologies.

NATO expansion and global stability efforts drive strategic defense and security spending

Confidence 85/100

1. NATO reinforcements in the High North and Eastern Flank necessitate increased procurement of advanced weaponry, surveillance systems, and military infrastructure to maintain deterrence. 2. The shift toward 'strategic deterrence' favors high-tech defense capabilities including missile defense and cyber warfare tools. 3. UN-led cooperation on climate adaptation and cross-border crime increases demand for specialized

Better placed: aerospace and defense, cybersecurity, satellite communications, military logistics

More exposed: non-aligned arms exporters, traditional diplomatic consulting (shifting to security-led diplomacy), unsecured cross-border trade logistics

Named: LMT, RHM.DE, PLTR, NOC, AIR.PA

What would break this: A sudden diplomatic breakthrough leading to comprehensive disarmament treaties or a significant reduction in NATO funding commitments would invalidate the growth thesis.

RBI regulatory tightening and liquidity drains pressure Indian banking operational margins

Confidence 85/100

1. Increased monetary penalties for non-compliance with customer compensation and credit reporting raise direct operational costs for financial institutions. 2. Stricter loan pricing regulations limit the ability of lenders to aggressively adjust rates, potentially squeezing net interest margins (NIMs). 3. The use of Variable Rate Reverse Repos (VRRRs) and T-Bill auctions removes excess liquidity from the banking sys

Better placed: RegTech software providers, compliance consultancy services, government securities markets

More exposed: retail commercial banks, non-banking financial companies (NBFCs), aggressive consumer credit lenders

Named: TCS.NS, Bajaj Finance, HDB, INFY

What would break this: A shift toward a more accommodative monetary policy or a relaxation of compliance timelines would mitigate the pressure on banking margins.

RBI liquidity absorption likely to increase short-term borrowing costs and bond yields

Confidence 85/100

The RBI's use of VRRR auctions removes excess cash from the commercial banking system. This reduction in available liquidity typically puts upward pressure on overnight interbank call rates. As banks have less surplus capital to deploy, demand for government securities (G-Secs) may soften, leading to higher yields and lower bond prices. Consequently, entities relying on short-term wholesale funding or bank credit fac

Better placed: short-term money market funds, banks with high CASA ratios, floating rate debt instruments

More exposed: non-banking financial companies (NBFCs), highly leveraged corporate borrowers, long-duration government bond holders

Named: HDB, Bajaj Finance, Life Insurance Corporation of India, State Bank of India

What would break this: A sudden surge in government spending or a massive influx of foreign portfolio investment (FPI) could offset the VRRR absorption, maintaining liquidity levels.

RBI liquidity absorption likely to elevate short-term borrowing costs and pressure NBFCs

Confidence 85/100

The RBI's use of VRRR auctions removes excess cash from the banking system, reducing the supply of loanable funds. This typically leads to an increase in interbank call money rates. As funding becomes tighter, banks may raise lending rates to maintain net interest margins (NIMs), which increases the cost of capital for corporate borrowers and Non-Banking Financial Companies (NBFCs) that rely on bank credit rather tha

Better placed: short-duration fixed income, high-quality banks with strong deposit franchises, cash-rich corporations

More exposed: non-banking financial companies (NBFCs), highly leveraged corporate borrowers, banks with high reliance on wholesale funding

Named: HDB, State Bank of India, Bajaj Finance, Reliance Industries

What would break this: A sudden shift toward monetary easing or an unexpected surge in foreign portfolio investment (FPI) inflows could offset the RBI's absorption efforts.

RBI liquidity absorption via VRRRs likely to tighten short-term credit conditions

Confidence 85/100

1. RBI uses VRRR auctions to remove excess cash from the banking system. 2. Reduced systemic liquidity typically puts upward pressure on interbank call money rates and short-term yields. 3. As banks face tighter liquidity, they may increase lending rates to maintain net interest margins (NIMs). 4. This increases the cost of capital for corporate borrowers and reduces available credit for highly leveraged sectors.

Better placed: short-term debt instruments, banks with high CASA ratios, liquid fund managers

More exposed: highly leveraged corporates, non-banking financial companies (NBFCs), real estate development, wholesale funding dependent sectors

Named: HDB, State Bank of India, Bajaj Finance, DLF Ltd

What would break this: A sudden shift in RBI policy toward accommodation or a massive influx of foreign portfolio investment (FPI) could offset the liquidity absorption.

RBI liquidity absorption tightens monetary conditions and pressures banking net interest margins

Confidence 85/100

1. The RBI uses Variable Rate Reverse Repo (VRRR) auctions to remove excess cash from the commercial banking system. 2. This reduction in systemic liquidity typically leads to an increase in short-term interbank lending rates. 3. As banks face higher costs for funding and liquidity management, their cost of funds increases. 4. If these increased costs cannot be immediately passed on to borrowers via higher loan rates

Better placed: short-duration debt funds, money market instruments, liquid fund managers

More exposed: commercial banking sector, highly leveraged corporate borrowers, credit-sensitive sectors like real estate

Named: HDB, IBN, State Bank of India, Reliance Industries

What would break this: A sudden influx of government spending or foreign portfolio investment (FPI) inflows could offset the RBI's absorption efforts, maintaining liquidity levels.

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.

Resilience map — better placed vs more exposed

Better placed — the resilient / well-capitalised side

aerospace and defensecybersecurityAI driven intelligence and surveillancesatellite communicationshumanitarian logisticsAI driven surveillance and intelligencecounter UAS (Unmanned Aircraft Systems)satellite imagery and GEOINTcritical infrastructure cybersecurityautonomous defense systems

TickerCompanyConfLive sentiment
CVXChevron Corporation82confirmed +25.4
PLTRPalantir Technologies85
CRWDCrowdStrike85
RTXRTX Corporation85
AVAVAeroVironment85
RHM.DERheinmetall85
NOCNorthrop Grumman85
AIR.PAAirbus85
TCS.NSTCS85
INFYInfosys85
PYPLPayPal Holdings Inc.85
COINCoinbase Global Inc.85
FISVFiserv Inc.85
MAMastercard Incorporated85
ACMAECOM85
AIC3.ai85
CATCaterpillar Inc85
TTETotalEnergies SE85
UNPUnion Pacific Corporation85
CBA.AXCommonwealth Bank of Australia85
WBC.AXWestpac Banking Corporation85
BHP.AXBHP Group85
XOMExxon Mobil Corporation82
VLOValero Energy Corporation82
SLBSLB82

More exposed — watch-only

regional tourismcommercial aviation (flight path disruptions)just in time global supply chainstraditional diplomacy reliant tradelegacy heavy armor platformstraditional physical border securityconventional non precision munitionsstatic perimeter defense hardwarenon aligned arms exporterstraditional diplomatic consulting (shifting to security led diplomacy)

TickerCompanyConfLive sentiment
BKNGBooking Holdings85
GDGeneral Dynamics85
IBNICICI Bank85
TSLATesla, Inc.82
FSLRFirst Solar, Inc.82

The forward view distilled into one long/short read and cross-checked against live sentiment: confirmed means today's market already leans the same way, diverging means it does not yet. The better placed (long) side is the tradeable half; the more exposed side is watch-only — that short leg is not yet validated and tends to get run over while the broad market rises. Not investment advice.

Model consensus

ModelVoteTrust
Markov Regime EngineUP70%

Consensus: BULLISH

Benched

  • SPY Neural Net (1w) — realized hit rate 49.8% is below a coin flip — vote suspended until it recovers

Weekly index projection: +0.62% (80% band -2.40% to +2.25%).

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

Volatility & tail risk

Forecast volatility11.7% ann.
Percentile vs 6 months66%
Variance risk premium+4.2
Daily VaR (5%)-1.54%
Weekly VaR (5%)-3.43%
Weekly expected shortfall-5.66%

Premium in normal range — ⚠ LOW CONFIDENCE: the HAR fit (R²=0.07 in-sample / -0.21 OOS, worst -0.21) 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
Interest Rates0.840.7hELEVATED
Semiconductors0.840.7hELEVATED
Supply Chain0.820.7hELEVATED
Oil & Gas0.811.0hELEVATED
Cybersecurity0.790.9hELEVATED
Biotechnology0.680.9hSUBCRITICAL
Aerospace & Defense0.680.7hSUBCRITICAL
Crypto & Digital Assets0.671.1hSUBCRITICAL

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

Market feed volume

Scored today975
Yesterday, same hour2,673
Projected close of day2,958
Daily average1,344
Flow ratio vs normal1.09×
Total in corpus228,538

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

Something exciting is coming…

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