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SentimentFeed

real time stock market sentiment dashboard

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Generated 09 Sep 2026, 06:00 UTC
next refresh 07:00 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 & Greed54NeutralFearGreed
Systemic risk48NeutralCalmStressed
Market regimeBullBull 74% · Side 26% · Bear 0%
Volatility (VIX)15.7Forecast 11.7% ann.
Dollar regimeMIXED10Y 4.81% · DXY 98.8

Regime read: LONG · expected +2.70% ± 5.30% over an optimal 30-day hold · signal/noise 0.51 — inside one standard deviation of noise.

Modal state is Bull (74.4% posterior, +39.2%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1111%/day and dominates. Net +0.1134%/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
HOOD+8.1Financials35.52.1360%Robinhood invests in Crypto.com to expand into prediction marketsprofitableExtended FWD P/EExpensive PEGY (>2)
BE+3.9Industrials56.30.5775%Bloom Energy is Fully Priced: Is a Re-rating Coming?profitablePEGY < 0.75Extended FWD P/E
ARM+2.6Information Technology85.42.0746%Arm’s Biggest Growth Driver May Not Be Smartphones AnymoreprofitableExtended FWD P/EExpensive PEGY (>2)
TWLO+1.9Information Technology33.30.3680%Twilio’s (TWLO) AI Push Finds a Strong Fit in Latin AmericaprofitablePEGY < 0.75Extended FWD P/E
COIN+1.6Financials65.415%Does Canadian Futures Launch Change The Bull Case For Coinbase (COIN)?Extended FWD P/EUNPROFITABLE - elevated risk

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
1BELONG44.1%-0.18-0.45-1.14Hot sentiment (decayed score 3.9); CIO meta-model current selection; ⚠ Extended FWD P/E
2TWLOLONG44.1%-0.18-0.45-1.14Hot sentiment (decayed score 2.0); ⚠ Extended FWD P/E
3BLKBLONG42.3%-0.43-0.43+0.22High conviction: undervalued + positive sector momentum; Quality: F-score 8/9
4HOODLONG44.1%-0.18-0.45-1.14Hot sentiment (decayed score 8.2); ⚠ Extended FWD P/E; Expensive PEGY (>2)
5PATHLONG42.3%-0.43-0.43+0.22Despair reversion: sentiment -4 but undervalued; Quality: F-score 8/9
6COINLONG44.1%-0.18-0.45-1.14Hot sentiment (decayed score 1.7); ⚠ Extended FWD P/E; UNPROFITABLE - elevated risk
7ARMLONG44.1%-0.18-0.45-1.14Hot sentiment (decayed score 2.7); ⚠ Extended FWD P/E; Expensive PEGY (>2); Quality: F-score 7/9
8DOCSLONG42.3%-0.43-0.43+0.22Despair reversion: sentiment -6 but undervalued

Engine hit rate 44.3% over 402 scored calls (lower bound 39.5%), average net alpha -0.162%. 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

  • IONSBearishClinical Trial82

    A Phase 3 primary endpoint miss in a late-stage pipeline asset is a fundamental devaluation event that outweighs the platform-based bull thesis in the short-to-medium term.

    2026-09-08 11:19
  • SOLSBearishBuyout85

    The collapse of a $14.5 billion combination removes a massive valuation floor and exposes the stock to a severe correction as the market prices in the risk of due diligence failure.

    2026-09-06 23:23
  • RAREBearishRegulation85

    A 44% drop following a failed drug trial is a fundamental re-rating of the company's valuation based on lost projected cash flows, not a temporary dip.

    2026-09-04 23:49
  • PATHBearishEarnings82

    A revenue beat is a backward-looking metric; the market is pricing in a structural growth slowdown and the potential obsolescence of traditional RPA in the face of Generative AI.

    2026-09-04 15:03
  • SNOWBullishEarnings82

    Snowflake's 23% surge on AI-fueled guidance raise is a powerful catalyst, but conviction is capped to avoid the 'strategic narrative trap' by accounting for the gap between projected guidance and realized execution.

    2026-09-03 14:41
  • PYPLBearishRegulation82

    The loss of a $53 billion safety net represents a significant removal of liquidity and financial cushioning, exposing the company to competitive pressures and lack of innovation, which the market typically views as a a catastrophic removal of life support rather than a strategic pivot.

    2026-08-30 20:02
  • WENBearishBuyout85

    The removal of a speculative buyout premium creates a vacuum in the valuation, as the stock was trading on a rumor-driven floor rather than organic fundamentals.

    2026-08-29 01:21
  • VREXBullishBuyout82

    VREX is a bullish catalyst due to the acquisition by Teledyne, but the majority of the premium is likely already priced in, limiting further upside potential and now shifting the risk-reward profile to an arbitrage play rather than a a growth story.

    2026-08-28 06:20
  • SNAPBearishRegulation82

    While Meta's settlement caps the legal risk for the sector, the asymmetry of the balance sheet risk creates an existential threat for Snap, as any similar liability would be liquidated by a fraction of the cost Meta can absorb.

    2026-08-28 04:16
  • ROKUBullishBuyout82

    None

    2026-08-25 18:03

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

Accelerating

No data in this window.

Under pressure

PLTR-3.5Burry’s Palantir Warning Is Back. Accenture Shows What Investors Should Check
UBER-2.8Ride-Share Reckoning: Tesla Drives Into Uber's Lane
BHVN-2.6Biohaven stock downgraded at RBC Capital Markets (BHVN:NYSE)
DOCS-2.6DOCS Downgraded by Freedom Capital Markets -- Price Target Raised to $27.00
WIX-2.3Wix Stock Drops 4.6%—What Its 17.7% Four-Day Slide Is Pricing In

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Energy+323+1,224+2,476
Information Technology+128+700+2,350
Financials+98+674+2,438
Materialsbearish reversal-7+118+419
Communication Servicesbearish reversal-7+88+62
Health Carebearish reversal-29-12+59
Consumer Staples-28-144-581
Industrials-137-270-533
Utilities-62-556-1,657
Consumer Discretionary-197-692-1,674
Real Estate-78-1,128-3,359

Industry cuts (1W)

  • Artificial Intelligence+1,496
  • Electric Vehicles-390
  • Cybersecurity-330
  • Biotechnology-326
  • Gold & Commodities-282
  • Aerospace & Defense-280
  • Crypto & Digital Assets+204
  • Oil & Gas+178

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Interest Rates+105.8-99
Oil Prices+81.8+147
Artificial Intelligence+36.5+279
Semiconductors+25.0+58
Tariffs-20.2-37
Inflation-21.8-95
Employment-21.8-3
Market Volatility-41.5-59

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

Structural themes

ThemeSourcesConviction
defense security18568
healthcare policy16164
geopolitics14572
financial regulation14376
transport mobility13864
agriculture food11356
monetary policy10569
infrastructure8976
trade policy8783
education skills8360

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

TickerCompanyWeightShort-termRead
PLTRPalantir Technologies587-3.5diverging
Provides AI-driven intelligence software used in strategic defense and crisis management.
data privacy, defense security, financial regulation, geopolitics
NEENextEra Energy526
Aligned with the push for domestic energy stability and modernization.
climate policy, energy policy, financial regulation, geopolitics
SBGSYSchneider Electric397
Provides energy management and automation for resilient, decarbonized industrial infrastructure.
climate policy, energy policy, financial regulation, infrastructure
ACNAccenture380
Large-scale global provider of public sector consulting and government technology implementation.
banking, defense security, education skills, financial regulation
LMTLockheed Martin333
Global leader in advanced air defense systems like the Patriot missile system.
defense security, financial regulation, geopolitics, technology regulation
CNRCanadian National Railway287
Directly benefits from Canadian government prioritization of rail freight infrastructure.
energy policy, infrastructure, monetary policy, trade policy
CATCaterpillar270
Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs
climate policy, geopolitics, labor markets, supply chain
CRWDCrowdStrike255
Increased state-sponsored cyber threats drive demand for endpoint protection and threat intelligence.
defense security, financial regulation, geopolitics, technology regulation
TSLATesla249
Produces utility-scale battery storage solutions (Megapack) for grid stability.
climate policy, energy policy, oil and gas, transport mobility
SAPSAP247
Enterprise software used by banks to consolidate financial data and manage regulatory reporting.
banking, financial regulation, infrastructure, labor markets

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

Localized Defense Production and Geopolitical Sanctions Reshape Western Industrial Exposure

Confidence 85/100

1. Intensified air defense aid to Ukraine increases demand for specialized missile systems and radar technology. 2. The shift toward local assembly lines in Ukraine transitions the value chain from finished-goods exports to the export of industrial machinery, tooling, and technical expertise. 3. Trade restrictions on Israeli settlements and sanctions on Iranian entities create revenue headwinds for firms integrated i

Better placed: air defense systems, defense industrial automation, European aerospace & defense, military logistics technology

More exposed: Iranian trade partners, Israeli settlement infrastructure, Syrian and Sri Lankan state contractors, regional Middle East logistics

Named: RHM.DE, BA.L, LMT, ESLT

What would break this: A comprehensive peace treaty in Ukraine or a significant shift in Western political leadership resulting in the cessation of military aid would invalidate the defense growth thesis.

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.

Regulatory clarity boosts digital payment innovation and crypto compliance

Confidence 85/100

Regulators are developing frameworks to foster payment innovation while extending oversight to AI-driven tools and crypto services. Australia's A2A Payments Roadmap enables real-time interoperability, UK mandates drive bank-led innovation, and HMRC reporting rules create structured crypto compliance requirements. This reduces uncertainty for compliant digital payment providers and crypto platforms that integrate regu

Better placed: real-time payment infrastructure, crypto compliance solutions, digital wallet platforms

More exposed: legacy bank payment systems, non-compliant crypto service providers

Named: PYPL, COIN, FIT, MA

What would break this: Overly restrictive regulations stifling innovation (e.g., excessive transaction fees), or global regulatory fragmentation causing compliance costs to exceed market growth potential.

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 EngineUP79%
Macro Factor GateUP55%

Consensus: BULLISH

Benched

  • SPY Neural Net (1w) — failing validation (OOS error 0.7592% vs 0.2772% zero-baseline) — vote suspended

Model failed validation: out-of-sample error 0.7592% is worse than the 0.2772% 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 volatility11.7% ann.
Percentile vs 6 months57%
Variance risk premium+3.7
Daily VaR (5%)-1.52%
Weekly VaR (5%)-3.40%
Weekly expected shortfall-5.54%

Premium in normal range — ⚠ LOW CONFIDENCE: the HAR fit (R²=0.04 in-sample / -0.10 OOS, worst -0.10) 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
Oil & Gas0.810.7hELEVATED
Interest Rates0.770.7hELEVATED
Bond Yields0.761.0hELEVATED
Geopolitical Tension0.661.8hSUBCRITICAL
Monetary Policy0.645.1hSUBCRITICAL
Stock Market0.571.0hSUBCRITICAL
Cloud & Data Centers0.490.9hSUBCRITICAL
Crypto & Digital Assets0.460.8hSUBCRITICAL

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

Market feed volume

Scored today139
Yesterday, same hour1,150
Projected close of day1,086
Daily average1,328
Flow ratio vs normal0.93×
Total in corpus187,190

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

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