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SentimentFeed

real time stock market sentiment dashboard

Generated 28 Aug 2026, 23:01 UTC
next refresh 00:01 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, no sign-up.

Fear & Greed50NeutralFearGreed
Systemic risk43CalmCalmStressed
Market regimeBullBull 89% · Side 11% · Bear 0%
Volatility (VIX)14.4Forecast 9.9% ann.
Dollar regimeMIXED10Y 4.72% · DXY 99.7

Regime read: LONG · expected +2.95% ± 5.12% over an optimal 30-day hold · signal/noise 0.58 — inside one standard deviation of noise.

Modal state is Bull (89.1% posterior, +40.8%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1357%/day and dominates. Net +0.1375%/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
AFRM+11.2Financials16.10.7562%Affirm Q4 2026 earnings beat: revenue and GMV top estimatesprofitable
BE+11.1Industrials42.80.9154%Nancy Pelosi Just Disclosed a Multimillion-Dollar Bet on Bloom Energy. That’s Just 1 of Many Reasons to Buy BE Stock Here.profitableExtended FWD P/EMean Reversion: Euphoria (Short)
PLTR+8.9Information Technology80.52.3179%Palantir Technologies Stock Surged On Evidence That Was Already PublicprofitableExtended FWD P/EExpensive PEGY (>2)
DG+7.1Consumer Staples15.01.4644%Dollar General Stock Rises After Earnings. The Gains Are About More Than Low Expectations.profitable
WDAY+4.6Information Technology15.60.7568%Workday Pivots to AI, Buybacks Amid Silver Lake TalkprofitablePrice > Analyst Target

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
1SKHYLONG52.2%-0.32-0.55-0.76Hot sentiment (decayed score 2.6); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; Quality: F-score 8/9
2SLONG45.8%-0.28-0.50-0.49Accelerating velocity +5.6 (2 mentions/12h); ⚠ Earnings in 2d — event risk inside hold window
3KURALONG48.8%-0.28-0.50-0.49Accelerating velocity +4.0 (2 mentions/12h); ⚠ Weak fundamentals: F-score 2/9
4HOODLONG53.2%-0.22-0.51-1.28Hot sentiment (decayed score 3.0); CIO meta-model current selection; ⚠ Extended FWD P/E; Expensive PEGY (>2)
5MRNALONG34.3%-0.26-0.50-0.74Hot sentiment (decayed score 4.0); Accelerating velocity +10.8 (5 mentions/12h); ⚠ Price > Analyst Target; UNPROFITABLE - elevated risk
6COINLONG43.5%-0.22-0.47-0.95Hot sentiment (decayed score 4.9); Accelerating velocity +8.8 (4 mentions/12h); ⚠ Extended FWD P/E; Mean Reversion: Euphoria (Short)
7BELONG20.2%-0.22-0.47-0.95Hot sentiment (decayed score 9.5); Accelerating velocity +14.4 (5 mentions/12h); ⚠ Extended FWD P/E; Mean Reversion: Euphoria (Short)

Engine hit rate 43.3% over 342 scored calls (lower bound 38.1%), average net alpha -0.223%. 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

  • 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
  • PYPLBearishEarnings85

    A 12% after-hours plunge following earnings/guidance updates typically signals a fundamental shift in market sentiment and a reasonable probability of continued downward pressure as funds rebalance.

    2026-08-28 03:40
  • 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
  • CIFRBearishRegulation85

    The market is valuing the company based on revenue streams that are being actively terminated, creating a massive valuation gap and a high probability of a significant downward correction.

    2026-08-21 06:57
  • AVBBearishIndex_Deletion85

    S&P 500 deletion triggers non-discretionary passive selling pressure that typically outweighs short-term fundamental value gaps until a liquidity bottom is found.

    2026-08-15 11:12
  • CLBTBearishEarnings92

    A 29% plunge following a revenue guidance cut for 2026 suggests a systemic growth failure rather than a temporary dip, signaling a fundamental erosion of trust in management's execution.

    2026-08-15 03:37

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

Ticker feed — accelerating now

TickerVelocityVolStory
AFRM+16.46Affirm Q4 2026 earnings beat: revenue and GMV top estimates
BE+10.85Nancy Pelosi Just Disclosed a Multimillion-Dollar Bet on Bloom Energy. That’s Just 1 of Many Reasons to Buy BE Stock Here.
DG+9.43Dollar General Stock Rises After Earnings. The Gains Are About More Than Low Expectations.
PLTR+7.06Palantir Technologies Stock Surged On Evidence That Was Already Public
ESTC+6.83Why Software Stock Elastic Is Rocketing 20% Higher

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

Under pressure

PYPL-13.8Two-speed stock markets on August 28: Warsh's words don't stop Europe but slow down Wall Street and PayPal collapses on the Nasdaq (-12%).
IREN-5.9I'm flat $IREN and not buying the dip
RIVN-5.5Why is Rivian stock sliding today?
GM-4.8General Motors (GM)’s U.S. Sales Crown at Risk as Toyota Fast Approaches
DKNG-3.8U.S. appeals court rules against prediction markets, sets up likely fight at Supreme Court

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Information Technology+142+686+1,975
Financials+198+518+2,161
Materials+20+157+304
Health Carebullish reversal+4+57-79
Industrials+2+25-296
Communication Services-4-1-276
Consumer Staples+2-64-636
Energy+50-109+724
Consumer Discretionary-70-159-835
Utilities-116-279-948
Real Estate-228-829-2,098

Industry cuts (1W)

  • Artificial Intelligence+1,813
  • Crypto & Digital Assets+465
  • Oil & Gas-416
  • Electric Vehicles-398
  • Cybersecurity-390
  • Biotechnology-282
  • Aerospace & Defense-235
  • Gold & Commodities-183

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Artificial Intelligence+220.5+491
Semiconductors+60.7+85
Monetary Policy+32.3+14
Tariffs+26.00
Bond Market-25.5-55
Cryptocurrency-38.7+29
Inflation-90.7-138
Interest Rates-91.5-216

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

Structural themes

ThemeSourcesConviction
defense security19880
healthcare policy18871
geopolitics15571
transport mobility15068
financial regulation14976
agriculture food12669
monetary policy12174
banking11472
education skills11066
energy policy7574

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
LMTLockheed Martin937
Development of AI-driven military weapons subject to binding controls
defense security, financial regulation, geopolitics, trade policy
BLKBlackRock916
Major asset manager with extensive regulated ETF and mutual fund offerings aligned with retail investor protection trends.
banking, financial regulation, monetary policy
NEENextEra Energy752
Major utility with renewable infrastructure projects reliant on stable long-term financing.
climate policy, energy policy, financial regulation, geopolitics
JPMJPMorgan Chase & Co743
Major bank with compressed net interest margins due to extended low-rate environment from stable core inflation policy.
banking, financial regulation, monetary policy
SPGIS&P Global636
Offers AI-powered financial data tools for compliance monitoring and fraud detection under new regulations.
banking, financial regulation, oil and gas
PLTRPalantir Technologies603+8.9aligned
AI-driven data analytics for conflict monitoring and early warning systems
defense security, financial regulation, geopolitics, industrial policy
DEDeere & Company494
Agricultural equipment demand grows domestically as US farm subsidies expand under protectionist policies.
agriculture food, geopolitics, trade policy
HSBAHSBC Holdings454
Faces significant capital expenditure to modernize legacy back-office systems to meet new regulatory and speed standards.
banking, financial regulation, monetary policy, trade policy
RTXRaytheon Technologies447
Develops surveillance systems including border control technology for immigration enforcement
defense security, geopolitics
CATCaterpillar433
Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs
climate policy, labor markets, supply chain, 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

RBI tightness benefits banking, pressures real estate and infra

Confidence 85/100

The RBI's sustained liquidity absorption via OMOs reduces money supply, pushing up short-term interest rates. This improves banks' net interest margins (benefiting banking) while increasing borrowing costs for debt-dependent sectors like real estate development and infrastructure construction, which face higher financing expenses and reduced project viability.

Better placed: banking

More exposed: real estate development, infrastructure construction

Named: HDFCBANK.NS, DLF.NS, LT.NS

What would break this: RBI actions fail to control inflation, triggering economic slowdown and increased loan defaults.

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.

UK security enforcement surge to boost compliance tech providers

Confidence 85/100

The UK is increasing enforcement resources in waste crime (Environment Agency) and immigration crime (National Crime Agency), requiring enhanced agency capacity. This drives demand for technology solutions that support environmental compliance monitoring and border surveillance systems, directly benefiting sectors providing these services while creating no clear at-risk sector as legitimate businesses gain from reduc

Better placed: environmental compliance services, border security technology

Named: PLTR, RTX, LMT

What would break this: UK government budget cuts to security agencies or ineffective enforcement leading to policy reversal within the near horizon

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.

US domestic manufacturing gains from tariff-driven reshoring

Confidence 85/100

Protectionist policies (tariffs on imports, reshoring incentives) increase cost of foreign goods relative to domestic alternatives. This directly boosts demand for US-made products in sectors like consumer durables and industrial equipment. Conversely, export-dependent supply chains face higher costs due to retaliatory tariffs and reduced global trade flows.

Better placed: domestic manufacturing, reshoring services, tariff-protected consumer goods

More exposed: export-oriented manufacturing, global supply chain logistics

Named: WHR, CAT, FLEX, PVH

What would break this: Policy reversal due to economic downturn or new multilateral trade agreements overriding protectionism.

RBI liquidity tightening and NBFC scrutiny pressure non-bank funding costs

Confidence 85/100

The RBI's use of VRRR auctions to absorb excess liquidity reduces the overall pool of loanable funds in the banking system, which typically leads to higher borrowing costs for financial intermediaries. Since Non-Banking Financial Companies (NBFCs) rely heavily on bank borrowings and wholesale markets rather than deposits, they are more sensitive to these liquidity drains. Simultaneously, strict regulatory oversight r

Better placed: large systemic commercial banks, regulatory compliance technology providers, high-credit-rating NBFCs

More exposed: small to mid-sized NBFCs, high-leverage shadow banking entities, unsecured consumer credit lenders

Named: HDB, BAJFINANCE, SBIN, ICICI

What would break this: A significant increase in foreign portfolio investment (FPI) inflows could offset VRRR absorption, or a pivot by the RBI toward an accommodative stance to stimulate growth.

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 EngineUP88%
Macro Factor GateUP55%

Consensus: BULLISH

Benched

  • SPY Neural Net (1w) — failing validation (OOS error 1.0404% vs 0.8776% zero-baseline) — vote suspended

Model failed validation: out-of-sample error 1.0404% is worse than the 0.8776% 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 volatility9.9% ann.
Percentile vs 6 months43%
Variance risk premium+3.0
Daily VaR (5%)-1.56%
Weekly VaR (5%)-3.48%
Weekly expected shortfall-5.54%

Premium in normal range — ⚠ LOW CONFIDENCE: the HAR fit (R²=0.07 in-sample / 0.16 OOS, worst 0.07) 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
Bond Market0.781.4hELEVATED
Inflation0.741.2hELEVATED
Oil & Gas0.721.3hELEVATED
Artificial Intelligence0.720.5hELEVATED
Interest Rates0.630.6hSUBCRITICAL
Crypto & Digital Assets0.550.5hSUBCRITICAL
Semiconductors0.521.8hSUBCRITICAL
FinTech0.511.2hSUBCRITICAL

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

Market feed volume

Scored today1,390
Yesterday, same hour1,429
Projected close of day1,426
Daily average1,338
Flow ratio vs normal1.01×
Total in corpus173,987

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