Archived snapshot from 14 Sep 2026, 14:00 UTCclick here for the latest live data →

SentimentFeed

real time stock market sentiment dashboard

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Generated 14 Sep 2026, 14:00 UTC
next refresh 15:00 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 & Greed45NeutralFearGreed
Systemic risk54NeutralCalmStressed
Market regimeBullBull 74% · Side 26% · Bear 0%
Volatility (VIX)17.4Forecast 11.4% ann.
Dollar regimeMIXED10Y 4.99% · DXY 99.7

Regime read: LONG · expected +2.74% ± 5.27% over an optimal 30-day hold · signal/noise 0.52 — inside one standard deviation of noise.

Modal state is Bull (73.5% posterior, +38.3%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1081%/day and dominates. Net +0.1114%/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
PLTR+4.9Information Technology72.11.6161%Michael Burry Is Staying Short Nvidia, Palantir, and Tesla, Warning of a Possible "1987-Type Fall" for AI Stocks. Should Investors Take the Bet Seriously?profitableExtended FWD P/E
AFRM+4.2Financials14.78.6761%Nike downgraded, Affirm upgraded: Wall Street's top analyst callsprofitableFwd P/E < 15Expensive PEGY (>2)
HOOD+3.6Financials33.71.9756%Robinhood's New Blockchain Is Now Making More Money Than Ethereum. Does That Make Robinhood Stock a Buy?profitableExtended FWD P/E
UBER+3.6Information Technology16.36.0817%Dutch Bros vs. Uber Technologies: Which Consumer Stock Is a Better Buy in 2026?profitableExpensive PEGY (>2)
KKR+2.6Financials13.60.4326%Realty Income and KKR to Establish Euro-Denominated Joint Venture, Advancing Realty Income's Private Capital PlatformconvictionprofitablePEGY < 0.75Fwd P/E < 15

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
1UBERLONG43.5%-0.22-0.46-1.11Hot sentiment (decayed score 3.6); ⚠ Expensive PEGY (>2); Insider cluster buying (2 buys/90d)
2BKRLONG42.7%-0.32-0.44-0.21Accelerating velocity +6.8 (2 mentions/12h); Quality: F-score 7/9
3GSLONG43.5%-0.22-0.46-1.11Hot sentiment (decayed score 2.5)
4PLTRLONG43.5%-0.22-0.46-1.11Hot sentiment (decayed score 5.0); ⚠ Extended FWD P/E; Quality: F-score 8/9
5KKRLONG42.8%-0.33-0.46-0.56Hot sentiment (decayed score 2.6); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; CIO meta-model current selection
6HOODLONG43.5%-0.22-0.46-1.11Hot sentiment (decayed score 3.7); ⚠ Extended FWD P/E
7IRENLONG42.7%-0.32-0.44-0.21Accelerating velocity +2.4 (2 mentions/12h); ⚠ Weak fundamentals: F-score 2/9

Engine hit rate 42.4% over 448 scored calls (lower bound 37.9%), average net alpha -0.262%. 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

  • 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
  • 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

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

Ticker feed — accelerating now

TickerVelocityVolStory
BKR+6.82CNBC Daily Open: 'Whoever wins AI, wins'
IREN+2.42IREN Shares Fall 2.7% as Technology Stocks Decline

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

Under pressure

GEV-6.4GE Vernova Shares Fall 4.8% After GLJ Research Starts Coverage With Sell Rating
CRCL-1.7Circle (CRCL) Stock Drops 7.5% Despite $400M Tazapay Acquisition for Emerging Markets
UPS-1.2The UPS Dividend Yield Is Unusually High and That Is Not the Compliment It Sounds Like
BRZE-1.1Why Braze Stock Plummeted This Week
BABA-0.9Alibaba and Amazon Face the Same AI Spending Question: How Quickly Does Capacity Become Cash?

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Energy+213+1,572+3,402
Financials+147+820+2,488
Information Technologybearish reversal-110+420+1,955
Materials+5+76+517
Communication Services+7+68+210
Health Care+19+40+260
Consumer Staples-4-114-406
Industrials-21-426-625
Utilities-74-560-1,906
Real Estate-98-902-3,731
Consumer Discretionary-87-992-2,161

Industry cuts (1W)

  • Artificial Intelligence+1,303
  • Oil & Gas+441
  • Cybersecurity-356
  • Electric Vehicles-354
  • Gold & Commodities-348
  • Biotechnology-318
  • Aerospace & Defense-223
  • Semiconductors-99

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Inflation+81.3-61
Supply Chain+29.2+19
Market Volatility+22.7-8
Geopolitical Conflict+21.5-12
Cryptocurrency-20.7-2
Oil Prices-60.2+61
Semiconductors-60.8-14
Artificial Intelligence-293.7-33

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

Structural themes

ThemeSourcesConviction
defense security17558
geopolitics15265
financial regulation13265
transport mobility12362
healthcare policy11762
infrastructure11063
trade policy10664
monetary policy10564
agriculture food9458
energy policy8562

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
ACNAccenture598
Consults large enterprises on digital transformation to meet new regulatory and reporting standards.
banking, defense security, education skills, energy policy
PLTRPalantir Technologies583+4.9aligned
Provides AI-driven data analytics for intelligence and hybrid threat detection.
data privacy, defense security, financial regulation, geopolitics
NEENextEra Energy549
Aligned with the push for domestic energy stability and modernization.
capital markets, climate policy, energy policy, financial regulation
SBGSYSchneider Electric365
Provides energy management and automation for resilient, decarbonized industrial infrastructure.
climate policy, energy policy, financial regulation, infrastructure
LMTLockheed Martin361
Primary supplier of missile systems and aircraft used in regional conflicts.
defense security, financial regulation, geopolitics, technology regulation
DEDeere & Company326
Agricultural equipment demand grows domestically as US farm subsidies expand under protectionist policies.
agriculture food, financial regulation, geopolitics, infrastructure
SAPSAP325
Enterprise software used by banks to consolidate financial data and manage regulatory reporting.
agriculture food, banking, financial regulation, infrastructure
CNICanadian National Railway324
Increased reliance on North American rail for resilient, regionalized supply chains.
agriculture food, energy policy, infrastructure, monetary policy
SIEGYSiemens265
Provides industrial automation and digitalization software for smart manufacturing.
energy policy, infrastructure, mixed, trade policy
BA.LBAE Systems247
Strong exposure to UK and European strategic defense reinforcement projects.
defense security, geopolitics, infrastructure, trade 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.

Routine RBI operations signal monetary stability and predictable credit conditions in India

Confidence 85/100

1. The continuation of standard operational cycles suggests a lack of immediate, disruptive shifts in interest rate policy. 2. Regular government securities auctions ensure consistent funding for public spending and infrastructure projects. 3. Ongoing regulatory oversight reduces systemic risk within the banking sector by maintaining compliance standards. 4. Data-driven inputs from inflation and consumer surveys allo

Better placed: commercial banking, government infrastructure projects, fixed income asset management, corporate credit markets

More exposed: currency speculators, high-volatility short-term debt instruments

Named: HDB, IBKI, SBIN, RELIANCE

What would break this: A sudden shift from routine operations to emergency liquidity injections or unexpected aggressive rate hikes would invalidate the stability 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.

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 EngineUP68%
Macro Factor GateUP55%

Consensus: BULLISH

Benched

  • SPY Neural Net (1w) — failing validation (OOS error 0.7703% vs 0.3355% zero-baseline) — vote suspended
  • Sector NN Breadth — realized hit rate 43.5% is below a coin flip — vote suspended until it recovers

Model failed validation: out-of-sample error 0.7703% is worse than the 0.3355% 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 volatility11.4% ann.
Percentile vs 6 months58%
Variance risk premium+5.6
Daily VaR (5%)-1.52%
Weekly VaR (5%)-3.39%
Weekly expected shortfall-5.53%

Premium in normal range — ⚠ LOW CONFIDENCE: the HAR fit (R²=0.05 in-sample / 0.07 OOS, worst 0.05) 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 & Gas0.771.1hELEVATED
Inflation0.741.2hELEVATED
Artificial Intelligence0.670.5hSUBCRITICAL
Interest Rates0.660.7hSUBCRITICAL
Supply Chain0.522.1hSUBCRITICAL
FinTech0.511.1hSUBCRITICAL
Crypto & Digital Assets0.500.9hSUBCRITICAL
M&A0.491.3hSUBCRITICAL

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

Market feed volume

Scored today711
Yesterday, same hour885
Projected close of day1,335
Daily average1,327
Flow ratio vs normal0.73×
Total in corpus193,791

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

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