Archived snapshot from 04 Sep 2026, 11:00 UTCclick here for the latest live data →

SentimentFeed

real time stock market sentiment dashboard

Generated 04 Sep 2026, 11:00 UTC
next refresh 12:00 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, no sign-up.

Fear & Greed58GreedFearGreed
Systemic risk56ElevatedCalmStressed
Market regimeBullBull 78% · Side 22% · Bear 0%
Volatility (VIX)14.2Forecast 11.3% ann.
Dollar regimeMIXED10Y 4.76% · DXY 99.0

Regime read: LONG · expected +2.88% ± 5.29% over an optimal 30-day hold · signal/noise 0.54 — inside one standard deviation of noise.

Modal state is Bull (77.5% posterior, +41.4%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1218%/day and dominates. Net +0.1235%/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+15.5Financials37.81.8168%AMC Stock Rallies Nearly 20% Premarket As CEO Adam Aron Blasts Robinhood Over ‘Disgusting’ Stock TokensprofitableExtended FWD P/E
SNOW+15.0Information Technology120.889%Snowflake Stock Soars as Surging AI Demand Boosts EarningsEV/EBITDA < 10Price > Analyst TargetExtended FWD P/E
UBER+9.2Information Technology17.36.3829%Uber stock price target maintained at $100profitableExpensive PEGY (>2)Mean Reversion: Euphoria (Short)
BE+9.0Industrials47.90.4861%Bloom Energy Corp Stock (BE) Moved Up by 8.48% on Sep 3: Key Drivers UnveiledprofitablePEGY < 0.75Extended FWD P/E
VRT+7.8Industrials29.50.8657%Vertiv Bets $2.6 Billion on Grid, Microgrid Solutions for AI Data Centersprofitable

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
1VRTLONG26.2%-0.21-0.54-0.83Hot sentiment (decayed score 7.9); Accelerating velocity +5.4 (2 mentions/12h)
2HOODLONG30.2%-0.20-0.60-1.20Hot sentiment (decayed score 15.6); ⚠ Extended FWD P/E
3BELONG27.2%-0.20-0.60-1.20Hot sentiment (decayed score 9.1); CIO meta-model current selection; ⚠ Extended FWD P/E
4PATHLONG35.7%-0.50-0.61+0.17Despair reversion: sentiment -5 but undervalued; Quality: F-score 8/9
5METALONG35.7%-0.50-0.61+0.17Despair reversion: sentiment -4 but undervalued
6SNOWLONG32.5%-0.24-0.53-0.36Hot sentiment (decayed score 15.1); Accelerating velocity +2.0 (3 mentions/12h); Earnings catalyst (82% PM conviction); ⚠ Price > Analyst Target; Extended FWD P/E
7UBERLONG20.2%-0.21-0.54-0.83Hot sentiment (decayed score 9.3); Accelerating velocity +8.2 (5 mentions/12h); ⚠ Expensive PEGY (>2); Mean Reversion: Euphoria (Short)

Engine hit rate 44.3% over 370 scored calls (lower bound 39.3%), average net alpha -0.155%. 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

  • 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
  • RAREBearishRegulation85

    A 47% crash to record lows indicates a fundamental repricing and loss of institutional confidence, which typically signals a death spiral rather than a mean-reversion opportunity.

    2026-09-03 14:30
  • 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
  • BABABearishEquity_Dilution82

    A $10.2B share placement for AI funding is a significant equity dilution event that the market is currently pricing as a high-risk capital expenditure rather than a strategic growth catalyst.

    2026-08-25 05:23
  • AAOIBearishEquity Offering85

    A $600M equity offering represents massive dilution and a signal of liquidity stress, which the market is already pricing in via a 12% drop and sympathetic sector-wide declines.

    2026-08-24 13:52
  • SPCXBearishLiquidity82

    The release of 319 million shares creates a massive supply overhang that outweighs the theoretical valuation floor, transforming the IPO mark into a hard ceiling and triggering a liquidity crunch.

    2026-08-23 23:20

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

Ticker feed — accelerating now

TickerVelocityVolStory
UBER+8.25Uber stock price target maintained at $100
VRT+5.42Vertiv Bets $2.6 Billion on Grid, Microgrid Solutions for AI Data Centers
SNOW+2.03Snowflake Stock Soars as Surging AI Demand Boosts Earnings

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

Under pressure

CRDO-9.7Why Credo Technology Stock Plunged 20% Today
MDB-7.5MongoDB Earnings Beat Expectations. Why the Stock Is Dropping Anyway.
RARE-6.0JPMorgan cuts Ultragenyx stock rating on trial setback
PATH-4.7Canaccord downgrades UiPath stock rating to hold on valuation
DDOG-4.0Datadog Just Dropped 22% in a Month: Sell Now, or Buy More?

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Energy+218+1,454+2,165
Financials+141+622+2,137
Information Technology+168+565+2,194
Health Carebearish reversal-35+136+50
Materials+5+135+395
Communication Services-4+130-71
Consumer Staples-66-20-601
Industrials-44-75-430
Consumer Discretionary-124-618-1,405
Utilities-85-839-1,474
Real Estate-171-1,489-2,960

Industry cuts (1W)

  • Artificial Intelligence+1,526
  • Electric Vehicles-416
  • Crypto & Digital Assets+364
  • Biotechnology-334
  • Cybersecurity-332
  • Gold & Commodities-332
  • Aerospace & Defense-287
  • Oil & Gas+229

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Interest Rates+162.2-146
Artificial Intelligence+103.0+346
Oil Prices+85.2+161
Bond Yields+55.2+21
Bond Markets-9.8-13
Supply Chain-10.7-14
Mortgage Rates-10.7-15
Geopolitical Risk-18.0-33

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

Structural themes

ThemeSourcesConviction
defense security19780
healthcare policy17565
transport mobility16171
geopolitics14477
financial regulation14377
monetary policy13080
agriculture food11967
education skills10466
banking10079
infrastructure7265

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
LMTLockheed Martin998
Defense contractor supplying security systems for infrastructure protection in volatile regions
defense security, financial regulation, geopolitics, trade policy
BLKBlackRock891
Its Aladdin platform is a primary tool for institutional risk management amid monetary policy shifts.
banking, financial regulation, monetary policy
NEENextEra Energy695
Major utility with renewable infrastructure projects reliant on stable long-term financing.
climate policy, energy policy, financial regulation, geopolitics
JPMJPMorgan Chase & Co567
Major bank with compressed net interest margins due to extended low-rate environment from stable core inflation policy.
banking, financial regulation, monetary policy
DEDeere & Company548
Agricultural equipment demand grows domestically as US farm subsidies expand under protectionist policies.
agriculture food, financial regulation, geopolitics, trade policy
MSCIMSCI Inc547
Provides risk management and governance indices used by institutional investors to monitor regulatory compliance.
banking, financial regulation
ICEIntercontinental Exchange519
Operates global exchanges and clearing houses benefiting from modernized market plumbing.
capital markets, financial regulation, monetary policy
PLTRPalantir Technologies513
AI-driven data analytics for conflict monitoring and early warning systems
defense security, financial regulation, geopolitics, industrial policy
MUFGMitsubishi UFJ Financial Group507
Large Japanese bank exposed to Bank of Japan monetary base and liquidity operations.
banking, financial regulation, monetary policy
HSBAHSBC Holdings424
Faces significant capital expenditure to modernize legacy back-office systems to meet new regulatory and speed standards.
banking, financial regulation, monetary policy, 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.

Forward view

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.

Humanitarian and security sectors benefit from escalating conflicts and climate disasters

Confidence 85/100

Documented evidence shows rising attacks on civilian infrastructure (hospitals in Ukraine/Haiti) and accelerating climate disasters (Nepal floods, sea-level rise). This drives demand for humanitarian logistics to deliver aid amid conflict disruptions, security services protecting critical infrastructure, and disaster-resilient infrastructure. Conversely, sectors reliant on stable supply chains (oil/gas E&P) face oper

Better placed: humanitarian aid logistics, infrastructure security services, disaster-resilient power grid

More exposed: oil/gas exploration & production, agricultural supply chains, civilian infrastructure operators

Named: DPSTF, LMT, SI, CVX, ADM

What would break this: If global conflict de-escalates rapidly or climate mitigation efforts significantly reduce disaster frequency, demand for security/humanitarian services would decline.

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.

Humanitarian access pressures boost security and monitoring sectors

Confidence 85/100

The trend highlights weaponized maritime chokepoints, drone attacks on civilians, and AI-driven weapons as threats to humanitarian access. This increases demand for secure aid delivery systems (e.g., protected logistics routes) and real-time conflict monitoring tools to avoid danger zones. Consequently, security services for humanitarian actors and AI-based monitoring platforms gain traction. Conversely, maritime shi

Better placed: Humanitarian logistics & security, Conflict monitoring technology

More exposed: Maritime shipping (chokepoint routes), Defense contractors (AI weapons)

Named: ACM, PLTR, LMT, AI

What would break this: Rapid diplomatic resolution of conflicts or failure to implement binding controls on AI weapons would reduce demand for security services and monitoring tools while alleviating pressure on defense contractors.

Regional supply chain hubs boost manufacturing and energy infrastructure

Confidence 85/100

Nations are reducing reliance on single sources like China through trade policy shifts and new production capacity. Nigeria's seven-fold petroleum export surge after Dangote refinery demonstrates regional self-sufficiency in energy, indicating that regions building local capabilities (e.g., manufacturing/energy) will gain. Consequently, sectors enabling regional infrastructure development benefit, while centralized s

Better placed: Regional manufacturing infrastructure, Emerging energy infrastructure, Regional logistics networks

More exposed: China-centric export manufacturing

Named: CAT, TTE, UNP, FOXF

What would break this: Trade policy reversals or failure of new regional capacity (e.g., Nigeria's refinery) to meet export demands would undermine the trend.

Bilateral currency swaps support cross-border trade finance

Confidence 85/100

RBI maintaining unchanged rates prevents increased borrowing costs for businesses, supporting stable credit conditions. Australia-China bilateral currency swap reduces FX volatility and transaction costs for direct trade between the two nations, directly benefiting financial institutions facilitating these transactions and export-oriented sectors reliant on China trade.

Better placed: cross-border trade finance, international banking services

Named: CBA.AX, WBC.AX, BHP.AX

What would break this: Global economic shock forcing rate hikes or termination of Australia-China currency swap agreement

Domestic manufacturing gains as global supply chains fragment

Confidence 85/100

Protectionist policies like US tariffs and reshoring incentives reduce reliance on imports, boosting domestic production. EU's erosion of open trade increases barriers for export-dependent sectors while prioritizing local supply chains. This shifts capital toward domestically oriented infrastructure and manufacturing, pressuring multinational supply chain models.

Better placed: domestic manufacturing, supply chain localization, renewable energy infrastructure

More exposed: global supply chains, commodity exporters, multinational services

Named: CAT, INTC, BA, DE

What would break this: WTO challenges to tariffs, rapid inflation from import costs reducing policy support, or unexpected multilateral trade agreements reversing protectionism.

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 EngineUP82%
Macro Factor GateUP55%

Consensus: BULLISH

Benched

  • SPY Neural Net (1w) — failing validation (OOS error 1.0159% vs 0.6288% zero-baseline) — vote suspended

Model failed validation: out-of-sample error 1.0159% is worse than the 0.6288% 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 volatility11.3% ann.
Percentile vs 6 months52%
Variance risk premium+2.5
Daily VaR (5%)-1.53%
Weekly VaR (5%)-3.42%
Weekly expected shortfall-5.53%

Premium in normal range — ⚠ LOW CONFIDENCE: the HAR fit (R²=0.06 in-sample / 0.15 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
Geopolitical Tension0.952.6hCRITICAL
Oil & Gas0.921.0hCRITICAL
Bond Yields0.870.9hELEVATED
Interest Rates0.750.6hELEVATED
Artificial Intelligence0.710.5hELEVATED
Bond Market0.702.4hSUBCRITICAL
Monetary Policy0.631.1hSUBCRITICAL
Cloud & Data Centers0.571.2hSUBCRITICAL

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

Market feed volume

Scored today602
Yesterday, same hour1,734
Projected close of day1,690
Daily average1,340
Flow ratio vs normal1.29×
Total in corpus182,236

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