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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, 13:02 UTC · next refresh 14:02 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)15.7Forecast 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+162.7Information Technology14.90.2993%Nvidia-backed Upscale AI launches platform to connect chips from rival suppliersprofitablePEGY < 0.75Fwd P/E < 15Near 52w High
MSFT+71.9Information Technology22.41.6588%Goldman Sachs sees 18% upside for Palantir on sovereign AI growthprofitable
TSM+61.7Information Technology21.50.9093%GlobalFoundries to make key AI chip component for TSMCprofitableEV/EBITDA < 10Near 52w High
AMD+58.5Information Technology41.10.6697%Prediction: These 2 Stocks Will Be Worth More Than Palantir 5 Years From NowprofitablePEGY < 0.75Near 52w HighExtended FWD P/E
MRVL+55.2Information Technology42.20.9683%Prediction: These 2 Stocks Will Be Worth More Than Palantir 5 Years From NowprofitableExtended FWD P/EMean Reversion: Euphoria (Short)

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
1PLTRLONG45.0%-0.11-0.23+0.21Accelerating velocity +18.2 (9 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9
2TSMLONG43.8%-0.13-0.18+0.24Hot sentiment (decayed score 61.0); Accelerating velocity +16.5 (21 mentions/12h); ⚠ Near 52w High; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9
3MSFTLONG44.8%-0.08-0.25-0.15Hot sentiment (decayed score 72.1); ⚠ Hostile macro: rising dollar + rising yields
4MCDLONG45.0%-0.11-0.23+0.21Accelerating velocity +13.0 (5 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
5PEPLONG45.0%-0.11-0.23+0.21Accelerating velocity +14.2 (23 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; ⚠ Earnings in 0d — event risk inside hold window
6AVGOLONG40.5%-0.21-0.08+0.56High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9
7HELELONG45.0%-0.11-0.23+0.21Accelerating velocity +12.0 (5 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; ⚠ Earnings in 0d — event risk inside hold window
8NVDALONG44.8%-0.08-0.25-0.15Hot sentiment (decayed score 163.3); ⚠ Near 52w High; ⚠ Hostile macro: rising dollar + rising yields

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
PLTR+18.29Goldman Sachs sees 18% upside for Palantir on sovereign AI growth
TSM+17.522GlobalFoundries to make key AI chip component for TSMC
PEP+14.223What PepsiCo earnings beat and mixed guidance mean for PEP stock investors
GFS+13.84GlobalFoundries to make key AI chip component for TSMC
MCD+13.05McDonald’s (MCD): Is Wall Street Overlooking Its High-Margin Franchise Model?

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

Under pressure

BULL-38.4Why Are Nasdaq, Dow Futures Falling Premarket? MU, TSM, APLD, IONQ, HOOD, BULL, SLS In Focus
NXPI-22.5Premarket movers: Palantir gains on bullish call, NXP tumbles on downgrade
NKE-20.6Nike and LVMH Took China for Granted—and Both Stocks Are Paying the Price
ARGX-18.3Argenx cans Phase III Vyvgart Sjögren’s study on predicted efficacy fail
OLED-14.2Why is Universal Display stock sliding today?

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Information Technology+496+2,694+4,788
Energy+188+440+3,226
Industrials+14+364+1,084
Health Care+32+54+796
Financials+1+12+3,706
Communication Servicesbearish reversal-13-94+408
Materialsbearish reversal-71-288+70
Consumer Staples-61-402-448
Utilities-133-606-3,664
Consumer Discretionary-155-746-3,304
Real Estate-295-1,430-6,660

Industry cuts (1W)

  • Artificial Intelligence+5,801
  • Gold & Commodities-1,035
  • Oil & Gas-1,014
  • Electric Vehicles-887
  • Biotechnology-873
  • FinTech-845
  • Cybersecurity-671
  • Aerospace & Defense-600

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Artificial Intelligence+532.8+1,419
Data Centers+119.3+236
Semiconductors+94.8+249
Cloud Computing+64.7+131
Geopolitical Risk-44.8-116
Risk Aversion-45.8-47
Market Sentiment-46.3-45
Interest Rates-297.5-565

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

Structural themes

ThemeSourcesConviction
geopolitics29159
defense security24559
healthcare policy20651
infrastructure12549
climate policy11446
pharma biotech11251
trade policy10856
energy policy10058
financial regulation9755
transport mobility8749

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

Strategic Blocs Rewire Trade and Supply Chains 88/100

How: China competition, national-security trade policy, and contested multipolarity reinforce diversification, protectionism, and selective economic cooperation over open global integration.

Resolves to: Companies and investors face higher sourcing costs, duplicated capacity, and greater returns to politically aligned supply chains.

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 Creates a Two-Track Transition 86/100

How: Managed oil supply and elevated prices coexist with rising electricity demand and rapid solar expansion, forcing governments to pursue fossil-fuel reliability and renewable deployment simultaneously.

Resolves to: Energy capital splits between near-term hydrocarbons and long-term solar, increasing volatility and rewarding flexible, diversified energy portfolios.

Converging trends: Oil supply restraint and prices remain elevated amid contested transition &middot; Rising Demand Drives Energy Security Measures and Solar Expansion &middot; Energy security tightens amid demand growth and managed supply

Conflict, Energy Shocks, and Protectionism Compound Inflationary Pressure 82/100

How: Rising conflict and hybrid threats disrupt energy markets, while constrained oil supply and security-focused trade policy raise the cost of imports and domestic resilience.

Resolves to: Persistent price volatility and weaker efficiency from fragmented trade can squeeze consumers, margins, and governments simultaneously.

Converging trends: Rising Conflict and Security Cooperation &middot; Oil supply remains constrained despite clean-energy transition pressure &middot; Trade Policy Shifts Toward National Security Focus

Security Competition Accelerates Dual-Use Space Capacity 76/100

How: Broader security risks and hardening allied alignment increase demand for resilience and military capability, while streamlined commercial space licensing lowers barriers to launch and reentry activity.

Resolves to: Commercial space infrastructure becomes more strategically valuable, while operators face growing pressure to serve security objectives and navigate geopolitical alignment.

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

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
ACNAccenture327——
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+71.9diverging
Cloud infrastructure (Azure) essential for the shift to 24/7 real-time financial operations.
climate policy, education skills, energy policy, financial regulation
TRIThomson Reuters Corp266——
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 +24.2
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
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
DALDelta Air Lines, Inc.82
FDXFedEx Corporation82

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: +0.69% (80% band -2.41% to +2.37%).

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+4.1
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 Rates0.830.7hELEVATED
Supply Chain0.830.6hELEVATED
Oil & Gas0.821.1hELEVATED
Cybersecurity0.790.9hELEVATED
Biotechnology0.680.9hSUBCRITICAL
Crypto & Digital Assets0.671.1hSUBCRITICAL
Aerospace & Defense0.670.6hSUBCRITICAL
Artificial Intelligence0.600.0hSUBCRITICAL

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

Market feed volume

Scored today1,159
Yesterday, same hour2,673
Projected close of day2,908
Daily average1,345
Flow ratio vs normal1.09×
Total in corpus228,722

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

Something exciting is coming…

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