Archived snapshot from 18 Sep 2026, 14:41 UTCclick here for the latest live data →

SentimentFeed

real time stock market sentiment dashboard

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Generated 18 Sep 2026, 14:41 UTC
next refresh 15:41 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 to read it.

Fear & Greed44FearFearGreed
Systemic risk70ElevatedCalmStressed
Market regimeBullBull 67% · Side 33% · Bear 0%
Volatility (VIX)15.2Forecast 13.7% ann.
Dollar regimeHOSTILE10Y 4.99% · DXY 100.5

Regime read: LONG · expected +2.60% ± 5.35% over an optimal 30-day hold · signal/noise 0.49 — inside one standard deviation of noise.

Modal state is Bull (67.0% posterior, +37.7%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.0985%/day and dominates. Net +0.1004%/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
GNRC+9.6Industrials17.30.5343%Amazon's new deal with Generac reveals that the AI trade may be shifting away from chips and into power.profitablePEGY < 0.75
GEV+8.0Industrials36.91.7761%Why GE Vernova Stock Crushed it on WednesdayprofitableExtended FWD P/E
HOOD+7.2Financials34.71.8260%U.S. SEC Gives Green Light to Tokenized Stock Trading! Launches Five-Year Innovation Exemption; Concept Stocks Including Robinhood (HOOD.US) and Circle (CRCL.US) Rise TogetherprofitableExtended FWD P/E
OKTA+6.0Information Technology41.71.5692%Okta Stock Jumped 11% This Week. Here’s What’s Behind the SurgeprofitableNear 52w HighExtended FWD P/E
HALO+5.8Health Care10.697%Halozyme Therapeutics stock hits all-time high at 111.56 USDprofitableFwd P/E < 15Price > Analyst TargetNear 52w High

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

#TickerSideP(win)EV 48hEV 1wEV 1mWhy
1CRCLLONG44.0%+0.73+0.60+2.04Partnership catalyst (82% PM conviction); Asymmetric edge playbook: Partnership; ⚠ Hostile macro: rising dollar + rising yields
2SPCXLONG44.0%+0.73+0.60+2.04Partnership catalyst (82% PM conviction); Asymmetric edge playbook: Partnership; ⚠ Hostile macro: rising dollar + rising yields
3TLNLONG44.0%+0.73+0.60+2.04Partnership catalyst (82% PM conviction); Asymmetric edge playbook: Partnership; ⚠ Hostile macro: rising dollar + rising yields
4CTVALONG38.6%+0.06-0.53+0.71Spinoff catalyst (82% PM conviction); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 7/9
5GNRCLONG42.8%-0.14-0.49-0.76Hot sentiment (decayed score 9.6); Customer/Supplier Agreement catalyst (82% PM conviction); CIO meta-model current selection; ⚠ Hostile macro: rising dollar + rising yields
6CRWVLONG43.7%-0.10+0.15+1.83Despair reversion: sentiment -4 but undervalued; ⚠ Hostile macro: rising dollar + rising yields
7LINELONG43.7%-0.10+0.15+1.83Despair reversion: sentiment -4 but undervalued; ⚠ Hostile macro: rising dollar + rising yields
8GEVLONG43.1%-0.24-0.47-0.88Hot sentiment (decayed score 8.0); Accelerating velocity +15.6 (6 mentions/12h); ⚠ Extended FWD P/E; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 7/9

Engine hit rate 42.0% over 486 scored calls (lower bound 37.7%), average net alpha -0.285%. 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

  • TLNBullishPartnership82

    Amazon's $8 billion investment in a nuclear power deal transforms TLN from a utility to critical AI infrastructure, though high leverage and execution risk remain significant headwinds.

    2026-09-18 02:24
  • GNRCBullishCustomer/Supplier Agreement82

    An $8 billion deal with Amazon, coupled with a warrant stake, aligns incentives and provides a massive revenue windfall that outweighs the customer concentration risk, while fundamentally rerating the company from residential power to AI infrastructure support.

    2026-09-17 13:02
  • IRDMBullishBuyout92

    Rocket Lab's capital raise to finalize the acquisition of Iridium is a high-conviction bullish catalyst as it removes the primary execution risk (funding) and confirms the deal's strategic value.

    2026-09-17 06:40
  • SPCXBullishPartnership82

    A $12 billion annual recurring revenue stream from AI hosting is a fundamental shift in revenue profile from lumpy launch services to high-margin recurring AI infrastructure, though execution risk and Capex requirements remain significant.

    2026-09-16 19:27
  • CRCLBullishPartnership82

    The integration of BlackRock, DTCC, and Visa as validators for the Arc Mainnet creates a systemic institutional bridge that transcends routine partnerships, effectively hard-coding Circle into the global financial plumbing.

    2026-09-16 15:18
  • CTVABullishSpinoff82

    The spinoff of the seed business into Vylor creates a pure-play biotech growth vehicle, likely triggering a massive re-rating of the combined enterprise value by eliminating the conglomerate discount.

    2026-09-16 01:38
  • RUMBullishPartnership82
    2026-09-14 17:21
  • QRVOBullishBuyout82

    A $22B merger between Qorvo and Skyworks is a massive structural shift in the RF semiconductor market, but conviction is tempered by significant antitrust regulatory risk.

    2026-09-11 14:33
  • ONTBearishEarnings82

    Guidance slash and board review signal systemic operational failure and a loss of management own-ship, which typically outweighs any speculative 'spring-loading' or buyout theories.

    2026-09-10 12:43
  • TYRABearishRegulation92

    Phase 2 trial results are a primary value driver for biotech stocks; a 30% plunge indicates the market is pricing in a significant impairment of the lead asset's efficacy or safety, which is a correctness-binary outcome with-out a high probability of immediate recovery.

    2026-09-09 13:04

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

Interesting Movement

  • ARE▲ more likely to outperform66% chance

    Aecon Group Inc. — an estimated 66% probability of outperforming S&P 500 over next 5 trading days. · Public infrastructure shifts toward resilience and strategic capacity

  • TMO▲ more likely to outperform66% chance

    Thermo Fisher Scientific — an estimated 66% probability of outperforming S&P 500 over next 5 trading days. · Strategic Trade Expansion and Targeted Cultural Export Restrictions

  • EBS▲ more likely to outperform62% chance

    Emergent BioSolutions Inc. — an estimated 62% probability of outperforming S&P 500 over next 5 trading days. · Health Policy Shifts Toward Preparedness and Coordinated Resilience

  • BBY▲ more likely to outperform60% chance

    Balfour Beatty plc — an estimated 60% probability of outperforming S&P 500 over next 5 trading days. · Public Infrastructure Becomes More Connected, Resilient, and Capacity-Focused

  • AVAV▲ more likely to outperform54% chance

    AeroVironment, Inc. — an estimated 54% probability of outperforming S&P 500 over next 5 trading days. · Targeted Transport Controls and Airspace Governance

  • INTC▲ more likely to outperform51% chance

    Intel Corporation — an estimated 51% probability of outperforming S&P 500 over next 5 trading days. · Global Trade Growth Amidst North American Protectionism and Reshoring

  • MRNA▲ more likely to outperform51% chance

    Moderna, Inc. — an estimated 51% probability of outperforming S&P 500 over next 5 trading days. · Health policy shifts toward resilient, inclusive global systems

  • NVAX▲ more likely to outperform51% chance

    Novavax, Inc. — an estimated 51% probability of outperforming S&P 500 over next 5 trading days. · Stronger Cross-Border Health Regulation

  • ENR▲ more likely to outperform50% chance

    Siemens Energy AG — an estimated 50% probability of outperforming S&P 500 over next 5 trading days. · Digitalization of Energy Data and Geopolitical Price Mitigation

  • META▲ more likely to outperform50% chance

    Meta Platforms Inc. — an estimated 50% probability of outperforming S&P 500 over next 5 trading days. · More Active, Digital and Interventionist Regulation

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
GEV+15.66Why GE Vernova Stock Crushed it on Wednesday
LITE+10.84Lumentum Climbs 3% as Optics Buying Extends; Coherent Rises 5%, Corning Jumps 3%
REXR+7.02Rexford Industrial (REXR) Bets $1.2B On A Leaner Future
HALO+6.02Halozyme Therapeutics stock hits all-time high at 111.56 USD
MTSI+6.02Why is MACOM Technology Solutions stock rallying today?

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

Under pressure

OGS-4.9One Gas stock hits 52-week low at 75.28 USD
SUI-4.9Sun Communities stock hits 52-week low at 113.74 USD
CRCL-4.3U.S. SEC Gives Green Light to Tokenized Stock Trading! Launches Five-Year Innovation Exemption; Concept Stocks Including Robinhood (HOOD.US) and Circle (CRCL.US) Rise Together
CAVA-3.0What Are You Actually Paying For In Cava Stock?
FANG-2.8Oil Heiress’s $1.9 Billion Stock Sale Sinks Diamondback Shares

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Financials+379+1,502+3,502
Energybearish reversal-18+1,148+3,908
Health Care+42+381+580
Materials+56+315+760
Industrialsbullish reversal+64+292-218
Communication Services+40+262+458
Consumer Staplesbullish reversal+21+210-122
Information Technology+65-186+1,586
Consumer Discretionary-155-828-2,564
Utilities-158-1,140-2,738
Real Estate-338-1,954-5,150

Industry cuts (1W)

  • Artificial Intelligence+952
  • Electric Vehicles-224
  • Gold & Commodities-212
  • Biotechnology-204
  • Cybersecurity-196
  • Crypto & Digital Assets+111
  • Aerospace & Defense-93
  • Semiconductors-74

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Artificial Intelligence+167.2+307
Digital Assets+47.5+70
Capital Markets+35.5+56
Data Centers+26.7+42
Crypto Regulation-28.3-35
Geopolitical Risk-34.8-58
Monetary Policy-62.8-144
Interest Rates-131.3-543

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

Structural themes

ThemeSourcesConviction
defense security31173
geopolitics25771
infrastructure19170
transport mobility18371
financial regulation17169
healthcare policy16973
climate policy13071
monetary policy12974
capital markets11362
education skills11356

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
PLTRPalantir Technologies598
Provides AI-driven data analytics for intelligence and hybrid threat detection.
data privacy, defense security, financial regulation, geopolitics
ACNAccenture577
Consults large enterprises on digital transformation to meet new regulatory and reporting standards.
banking, defense security, education skills, energy policy
NEENextEra Energy568
Large renewable-power and grid-oriented utility positioned for gradual substitution away from fossil fuels and increased electricity-system investment.
capital markets, climate policy, energy policy, financial regulation
SIEGYSiemens526
European industrial, electrification, and infrastructure investment aligns with regional strategic-capacity priorities.
climate policy, defense security, energy policy, geopolitics
CATCaterpillar465
Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs
agriculture food, climate policy, defense security, geopolitics
SBGSYSchneider Electric460
Provides energy management and automation for resilient, decarbonized industrial infrastructure.
climate policy, defense security, energy policy, financial regulation
LMTLockheed Martin454
Primary supplier of missile systems and aircraft used in regional conflicts.
defense security, financial regulation, geopolitics, infrastructure
SAPSAP408
Enterprise software can support domestic productivity, supply-chain visibility, and digitally delivered services exports.
banking, financial regulation, geopolitics, infrastructure
BA.LBAE Systems371
Strong exposure to UK and European strategic defense reinforcement projects.
defense security, geopolitics, industrial policy, infrastructure
AIR.PAAirbus354
Supplies military transport aircraft and defense systems to European allies.
climate policy, defense security, energy policy, geopolitics

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

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, BAJFINANCE.N, 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, BAJAJFIN, LICI, SBIN

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, SBIN, BAJAJFIN, RELIANCE

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, SBIN, BAJFINANCE, DLF

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, SBIN, RELIANCE

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.

Model consensus

ModelVoteTrust
Markov Regime EngineUP58%
Macro Factor GateDOWN55%

Consensus: NO CONSENSUS

Benched

  • SPY Neural Net (1w) — failing validation (OOS error 0.7635% vs 0.7617% zero-baseline) — vote suspended
  • Sector NN Breadth — realized hit rate 43.0% is below a coin flip — vote suspended until it recovers

Model failed validation: out-of-sample error 0.7635% is worse than the 0.7617% predict-zero baseline. Projection withheld until a weekly retrain produces a model that beats the baseline.

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

Volatility & tail risk

Forecast volatility13.7% ann.
Percentile vs 6 months73%
Variance risk premium+3.1
Daily VaR (5%)-1.53%
Weekly VaR (5%)-3.43%
Weekly expected shortfall-5.66%

Premium in normal range — ⚠ LOW CONFIDENCE: the HAR fit (R²=0.06 in-sample / 0.07 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
Interest Rates0.810.6hELEVATED
Crypto & Digital Assets0.691.2hSUBCRITICAL
Oil & Gas0.661.0hSUBCRITICAL
Capital Markets0.651.0hSUBCRITICAL
Semiconductors0.611.1hSUBCRITICAL
Inflation0.560.8hSUBCRITICAL
Supply Chain0.531.1hSUBCRITICAL
Cloud & Data Centers0.450.6hSUBCRITICAL

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

Market feed volume

Scored today958
Yesterday, same hour1,533
Projected close of day1,634
Daily average1,329
Flow ratio vs normal1.21×
Total in corpus199,360

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

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