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SentimentFeed

real time stock market sentiment dashboard

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Generated 08 Sep 2026, 20:01 UTC
next refresh 21:01 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 78% · Side 22% · Bear 0%
Volatility (VIX)15.5Forecast 11.7% ann.
Dollar regimeMIXED10Y 4.81% · DXY 98.8

Regime read: LONG · expected +2.76% ± 5.26% over an optimal 30-day hold · signal/noise 0.53 — inside one standard deviation of noise.

Modal state is Bull (78.2% posterior, +39.7%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1175%/day and dominates. Net +0.1196%/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+13.0Financials35.52.1360%Exclusive | Robinhood Strikes Deal With Crypto.com in Latest Prediction-Markets PushprofitableExtended FWD P/EExpensive PEGY (>2)
BE+5.7Industrials56.30.5775%Bloom Energy is Fully Priced: Is a Re-rating Coming?profitablePEGY < 0.75Extended FWD P/E
ARM+3.9Information Technology85.42.0746%Arm’s Biggest Growth Driver May Not Be Smartphones AnymoreprofitableExtended FWD P/EExpensive PEGY (>2)
ACN+3.7Information Technology12.21.0235%Accenture and Google Cloud launch Gemini Enterprise Business GroupconvictionprofitableFwd P/E < 15EV/EBITDA < 10
META+3.5Communication Services17.50.8134%Meta bets on AI agent Muse to catch up in AI raceUNPROFITABLE - 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
1ACNLONG47.4%-0.32-0.47-0.45Hot sentiment (decayed score 3.8); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum
2IONQLONG37.3%-0.31-0.39-0.04Accelerating velocity +7.4 (2 mentions/12h)
3PATHLONG39.2%-0.45-0.45+0.21Despair reversion: sentiment -4 but undervalued; Quality: F-score 8/9
4TRIPLONG39.2%-0.45-0.45+0.21Despair reversion: sentiment -4 but undervalued; Quality: F-score 7/9
5METALONG30.9%-0.21-0.46-0.74Hot sentiment (decayed score 3.5); Accelerating velocity +9.0 (5 mentions/12h); ⚠ UNPROFITABLE - elevated risk
6BELONG28.9%-0.21-0.46-0.74Hot sentiment (decayed score 5.7); Accelerating velocity +7.6 (6 mentions/12h); CIO meta-model current selection; ⚠ Extended FWD P/E
7BLKBLONG33.9%-0.45-0.45+0.21High conviction: undervalued + positive sector momentum; Quality: F-score 8/9
8DOCSLONG39.2%-0.45-0.45+0.21Despair reversion: sentiment -6 but undervalued

Engine hit rate 44.3% over 397 scored calls (lower bound 39.5%), average net alpha -0.172%. Serving: incumbent.

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

Catalyst watch

  • 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.

Ticker feed — accelerating now

TickerVelocityVolStory
HOOD+18.810Exclusive | Robinhood Strikes Deal With Crypto.com in Latest Prediction-Markets Push
META+9.05Meta bets on AI agent Muse to catch up in AI race
ARM+8.62Arm’s Biggest Growth Driver May Not Be Smartphones Anymore
BE+7.66Bloom Energy is Fully Priced: Is a Re-rating Coming?
IONQ+7.42IonQ Raises 2026 Revenue Outlook Following SkyWater Acquisition

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

Under pressure

DOCS-3.9DOCS Downgraded by Freedom Capital Markets -- Price Target Raised to $27.00
BHVN-3.8Biohaven stock downgraded at RBC Capital Markets (BHVN:NYSE)
RBLX-3.1Roblox (RBLX) Faces a Growth Reset After Guidance Cuts — Is the Long-Term Story Still Intact?
PATH-3.0UiPath and Pegasystems Sink 7% as Price Target Hikes Arrive Without a Single Buy Rating
PCVX-2.4Vaxcyte Has $2.5 Billion in Cash and a $605 Million Half-Year Loss. Here's How to Read Its CFO's Latest Insider Filing

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Energy+283+1,308+2,425
Information Technology+112+724+2,316
Financials+101+637+2,436
Materials+2+134+413
Communication Servicesbearish reversal-10+105+63
Health Carebearish reversal-27+4+54
Consumer Staples-30-131-581
Industrials-120-255-517
Utilities-48-589-1,635
Consumer Discretionary-185-716-1,625
Real Estate-77-1,224-3,353

Industry cuts (1W)

  • Artificial Intelligence+1,532
  • Electric Vehicles-399
  • Biotechnology-336
  • Cybersecurity-328
  • Gold & Commodities-294
  • Aerospace & Defense-291
  • Crypto & Digital Assets+215
  • Oil & Gas+184

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Interest Rates+155.5-80
Oil Prices+57.8+128
Semiconductors+41.5+74
Bond Market+26.3-5
Tariffs-21.3-37
Geopolitical Risk-21.8-43
Cybersecurity-25.0-13
Market Volatility-35.5-57

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

Structural themes

ThemeSourcesConviction
defense security18668
healthcare policy16465
geopolitics14669
transport mobility14464
financial regulation14176
agriculture food11356
monetary policy10969
infrastructure8976
education skills8661
trade policy8083

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 Technologies592
Provides AI-driven intelligence software used in strategic defense and crisis management.
data privacy, defense security, financial regulation, geopolitics
NEENextEra Energy534
Positions well for coordinated climate-focused economic initiatives and domestic energy shifts.
climate policy, energy policy, financial regulation, geopolitics
SBGSYSchneider Electric384
Provides grid modernization and energy management tools essential for national energy autonomy goals.
climate policy, energy policy, financial regulation, infrastructure
ACNAccenture382+3.7aligned
Large-scale global provider of public sector consulting and government technology implementation.
banking, defense security, education skills, financial regulation
CNICanadian National Railway280
Increased reliance on North American rail for resilient, regionalized supply chains.
energy policy, infrastructure, monetary policy, trade policy
SAPSAP SE270
Enterprise software solutions help companies automate compliance with evolving digital market regulations.
banking, financial regulation, labor markets, mixed
LMTLockheed Martin256
Primary provider of advanced air defense systems (PAC-3) and missile technology.
defense security, financial regulation, geopolitics, trade policy
TSLATesla249
Produces utility-scale battery storage solutions (Megapack) for grid stability.
climate policy, energy policy, oil and gas, transport mobility
DEDeere & Company246
Agricultural equipment demand grows domestically as US farm subsidies expand under protectionist policies.
agriculture food, financial regulation, geopolitics, trade policy
BLKBlackRock243
Its Aladdin platform is a primary tool for institutional risk management amid monetary policy shifts.
banking, capital markets, financial regulation, monetary policy

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

Defense Spending Shifts Toward Infrastructure and Regulated High-Tech Warfare Systems

Confidence 85/100

1. Strengthening NATO's eastern flank and Ukraine's air defenses creates sustained demand for long-term infrastructure, missile interceptors, and conventional munitions. 2. Diplomatic ceasefires in the Middle East and Sudan may dampen short-term tactical consumption of expendable munitions in those specific theaters. 3. The push to regulate AI and autonomous drones shifts the competitive advantage from agile, unregul

Better placed: air defense systems, conventional ammunition production, military logistics infrastructure, NATO-aligned defense primes

More exposed: unregulated autonomous drone startups, tactical munitions focused on Middle East conflict zones, non-compliant AI weapon developers

Named: LMT, RHM.DE, BA, AVAV

What would break this: A total collapse of NATO cohesion or a comprehensive global ban on AI weaponry (rather than mere regulation) would invalidate the growth thesis for these sectors.

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 0.8905% vs 0.4987% zero-baseline) — vote suspended

Model failed validation: out-of-sample error 0.8905% is worse than the 0.4987% 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+3.5
Daily VaR (5%)-1.52%
Weekly VaR (5%)-3.40%
Weekly expected shortfall-5.55%

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 & Gas0.830.8hELEVATED
Bond Yields0.801.1hELEVATED
Interest Rates0.750.7hELEVATED
Monetary Policy0.715.4hELEVATED
Geopolitical Tension0.682.2hSUBCRITICAL
Stock Market0.561.1hSUBCRITICAL
Cloud & Data Centers0.501.0hSUBCRITICAL
FinTech0.471.2hSUBCRITICAL

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

Market feed volume

Scored today1,036
Yesterday, same hour952
Projected close of day1,209
Daily average1,326
Flow ratio vs normal0.82×
Total in corpus186,937

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

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