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SentimentFeed

Every hour, the entire US market is re-read and scored — sentiment, systemic risk, market regime, sector rotation and tail risk, distilled into one live page.

Fear & Greed51Neutral
Systemic risk38Calm
Market regimeBullBull 89% · Side 11% · Bear 0%
Join free Updated 01 Oct 2026, 22:01 UTC · next refresh 23:01 UTC
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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 & Greed51NeutralFearGreed
Systemic risk38CalmCalmStressed
Market regimeBullBull 89% · Side 11% · Bear 0%
Volatility (VIX)16.4Forecast 11.0% ann.
Dollar regimeHOSTILE10Y 5.24% · DXY 102.0

Regime read: LONG · expected +2.96% ± 5.06% over an optimal 30-day hold · signal/noise 0.58 — inside one standard deviation of noise.

Modal state is Bull (88.9% posterior, +36.3%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1220%/day and dominates. Net +0.1259%/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
MU+166.5Information Technology5.30.1685%Micron's Bull Run Isn't OverconvictionprofitablePEGY < 0.75Fwd P/E < 15
NVDA+93.7Information Technology14.70.4892%Chinese state funds backed purchases of restricted Nvidia AI chips, report saysprofitablePEGY < 0.75Fwd P/E < 15Near 52w High
ACN+92.4Information Technology14.51.0454%Why IBM Stock Is Getting a Much-Needed Boost From Accenture EarningsprofitableFwd P/E < 15EV/EBITDA < 10Price > Analyst Target
SNPS+65.3Information Technology27.72.2272%Synopsys rallies 13% as Wall Street digests Amazon deal, OpenAI partnershipprofitableExpensive PEGY (>2)
AMZN+57.4Consumer Discretionary23.71.4657%Synopsys rallies 13% as Wall Street digests Amazon deal, OpenAI partnershipprofitable

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
1AVGOLONG43.6%-0.19-0.10+0.37High conviction: undervalued + positive sector momentum; Accelerating velocity +34.7 (21 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9
2AMZNLONG44.9%-0.06-0.24-0.24Hot sentiment (decayed score 57.7); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 7/9
3MULONG43.6%-0.16-0.16+0.07Hot sentiment (decayed score 167.6); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9
4MATLONG45.3%-0.07-0.21+0.16Accelerating velocity +41.6 (12 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
5BPLONG42.2%-0.27-0.08+0.38High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 7/9
6SNPSLONG45.1%-0.07-0.22-0.02Hot sentiment (decayed score 65.7); Accelerating velocity +42.7 (15 mentions/12h); ⚠ Expensive PEGY (>2); ⚠ Hostile macro: rising dollar + rising yields
7MKCLONG45.3%-0.07-0.21+0.16Accelerating velocity +40.0 (15 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; ⚠ Earnings in 0d — event risk inside hold window
8ACNLONG44.4%-0.13-0.15+0.18Hot sentiment (decayed score 95.0); Accelerating velocity +121.1 (37 mentions/12h); ⚠ Price > Analyst Target; ⚠ Hostile macro: rising dollar + rising yields; ⚠ Earnings in 0d — event risk inside hold window

Engine hit rate 41.3% over 596 scored calls (lower bound 37.4%), average net alpha -0.265%. 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

  • LQDABearishRegulation84

    The court ruling for United Therapeutics is a confirmed, material legal setback that threatens Liquidia’s commercialization and valuation, making this a structural bearish catalyst rather than routine volatility or a buy-the-dip opportunity.

    2026-09-30 18:50
  • SGMLBearishRegulation88

    The judicial suspension of Sigma Lithium’s mine licences and operations is a confirmed, material regulatory shock that directly threatens near-term production and cash flow, making a greater-than-5% downside move substantially more likely than a quick reinstatement-driven rebound.

    2026-09-23 03:18
  • BHVNBearishClinical Setback82

    A surprise seizure-related safety setback is a material, likely underpriced clinical-risk event that can drive further greater-than-5% downside as investors reassess BHVN’s asset safety and pipeline credibility.

    2026-09-23 02:10
  • CRWVBearishMacro82

    The combination of a first-time Fed rate hike in years and a massive $51B debt load creates a critical liquidity risk that outweighs the 'inflection point' narrative.

    2026-09-22 22:35
  • WENBearishMacro82

    Mass closure of 300 stores due to beef prices indicates a systemic failure to manage core commodity risk and a lack of pricing power, signaling a fundamental breakdown in the business model.

    2026-09-22 16:32
  • IRTBullishBuyout82

    The merger of IRT and Centerspace creates an unprecedented scale of $8.1 billion, transforming IRT from a niche player into an institutional-grade asset, triggering a massive rerating of institutional flow into the same time horizon as the window to buy the dip is window closed.

    2026-09-20 23:31
  • SNDKBullishBuyback82

    A $14B buyback combined with the 'Buffett' signal acts as a powerful supply-demand shock and institutional validation, though the cyclicality of NAND flash memory risks a cyclical peak buyback error.

    2026-09-19 08:36
  • GNRCBullishCustomer82

    A $2.4B contract with Amazon provides a massive revenue injection and institutional validation, though the high debt-to-cash ratio and long-dated execution risk make it from a parabolic launchpad to a strategic pivot with significant operational strain.

    2026-09-19 07:20
  • TLNBullishPartnership82

    Amazon's $8 billion investment in a nuclear power deal transforms TLN from a utility to critical AI infrastructure, though high leverage and execution risk remain significant headwinds.

    2026-09-18 02:24
  • IRDMBullishBuyout92

    Rocket Lab's capital raise to finalize the acquisition of Iridium is a high-conviction bullish catalyst as it removes the primary execution risk (funding) and confirms the deal's strategic value.

    2026-09-17 06:40

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

Interesting Movement

  • TMO▲ more likely to outperform60% chance

    Thermo Fisher Scientific — an estimated 60% probability of outperforming S&P 500 over next 5 trading days. · Health Policy Shifts Toward Resilient, Integrated Systems

  • SSYS▲ more likely to outperform58% chance

    Stratasys Ltd. — an estimated 58% probability of outperforming S&P 500 over next 5 trading days. · Incremental Security Regulation and Resilience Measures

  • VTRS▲ more likely to outperform57% chance

    Viatris Inc. — an estimated 57% probability of outperforming S&P 500 over next 5 trading days. · Early Push for Drug Cost and Senior Affordability Measures

  • ILMN▲ more likely to outperform56% chance

    Illumina, Inc. — an estimated 56% probability of outperforming S&P 500 over next 5 trading days. · Targeted Investment in Equitable Precision Oncology

  • CCL▲ more likely to outperform53% chance

    Carnival Corporation & plc — an estimated 53% probability of outperforming S&P 500 over next 5 trading days. · Continued Event-Specific Transport Safety Oversight

  • PWR▲ more likely to outperform53% chance

    Quanta Services, Inc. — an estimated 53% probability of outperforming S&P 500 over next 5 trading days. · Infrastructure Moves Toward Resilience and Tighter Oversight

  • CRWD▲ more likely to outperform52% chance

    CrowdStrike Holdings, Inc. — an estimated 52% probability of outperforming S&P 500 over next 5 trading days. · Security is broadening across cyber, maritime, hybrid, and climate risks

  • RCL▲ more likely to outperform52% chance

    Royal Caribbean Group — an estimated 52% probability of outperforming S&P 500 over next 5 trading days. · North American Security Becomes More Operational and Hemispheric

  • ASML▲ more likely to outperform51% chance

    ASML Holding N.V. — an estimated 51% probability of outperforming S&P 500 over next 5 trading days. · Managed rivalry and selective cooperation

  • MRNA▲ more likely to outperform51% chance

    Moderna — an estimated 51% probability of outperforming S&P 500 over next 5 trading days. · Health Policy Shifts Toward Resilient, Integrated Systems

  • MAR▲ more likely to outperform50% chance

    Marriott International, Inc. — an estimated 50% probability of outperforming S&P 500 over next 5 trading days. · Continued Multilateral and Bilateral Diplomatic Engagement

  • PRGO▲ more likely to outperform50% chance

    Perrigo Company plc — an estimated 50% probability of outperforming S&P 500 over next 5 trading days. · More structured FDA oversight with managed access

Each figure is our modelled probability that the stock beats S&P 500 over next 5 trading days — so “66% chance” means we estimate roughly a two-in-three chance it outperforms, not a predicted price move. Higher = a stronger signal; ranked strongest first and refreshed each update. Not financial advice.

Ticker feed — accelerating now

TickerVelocityVolStory
ACN+119.138Why IBM Stock Is Getting a Much-Needed Boost From Accenture Earnings
SNPS+42.715Synopsys rallies 13% as Wall Street digests Amazon deal, OpenAI partnership
MAT+41.612Mattel soars 19% on report of takeover interest
MKC+40.015Weekly Losses Deepen As Small Caps Lag And Yields Edge Higher Into Earnings Gauntlet
AVGO+34.721Me when Broadcom hits 500$

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

Under pressure

NKE-59.5Nike falls as revenue miss overshadows earnings beat
LQDA-33.4LQDA Stock On Track For Worst Week Ever As Analysts Say The Yutrepia Patent Loss Clouds Its Path
GM-14.7General Motors Logs Drop in Third-Quarter US Vehicle Sales
FICO-14.6FICO stock tumbles on report of credit bureau requirement change
ORA-14.5Why Ormat Technologies Stock Is Powering Down Today

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Information Technology+438+1,563+3,097
Financialsbearish reversal-13+659+4,278
Energy+180+658+4,198
Industrials+142+570+631
Health Care+60+223+809
Communication Services+56+98+597
Materials+18-123+523
Consumer Staples-2-150-166
Consumer Discretionary-149-630-3,378
Utilities-276-1,106-3,848
Real Estate-457-1,766-6,739

Industry cuts (1W)

  • Artificial Intelligence+4,575
  • Oil & Gas-999
  • Gold & Commodities-881
  • Electric Vehicles-776
  • Biotechnology-652
  • Cybersecurity-586
  • FinTech-536
  • Aerospace & Defense-349

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Artificial Intelligence+440.8+1,143
Semiconductors+160.8+252
Cloud Computing+61.7+129
Nuclear Energy+42.7+54
Bond Yields-44.7-75
Market Volatility-50.3-85
Bond Market-102.7-125
Interest Rates-374.8-717

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

Structural themes

ThemeSourcesConviction
geopolitics37963
defense security23054
healthcare policy21853
infrastructure15147
trade policy13858
pharma biotech13546
transport mobility10451
energy policy9754
climate policy9642
technology regulation9245

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.

How the trends connect

Security-driven trade fragmentation raises the cost of cooperation 88/100

How: National-security trade policies interact with contested multipolarity and managed partnerships, producing selective economic ties, duplicated supply chains, and pressure on countries to align with competing blocs.

Resolves to: Trade, infrastructure, and technology investment become more expensive and politically conditional; firms with diversified production and trusted-market access gain relative advantage.

Converging trends: Trade Policy Shifts Toward National Security Focus &middot; More contested multipolarity with selective cooperation &middot; Managed Cooperation and Strategic Partnerships Expand

Active sovereign-market management deepens fiscal-financial entanglement 84/100

How: Regular debt issuance, liquidity operations, monetary calibration, and stronger financial oversight reinforce official influence over bond markets and banking conditions.

Resolves to: Market stability becomes more policy-dependent: funding costs may be contained in the near term, but withdrawal of support or policy errors could trigger sharper repricing and volatility.

Converging trends: More Regular and Structured Sovereign Debt and Liquidity Operations &middot; More Scheduled and Active Monetary-Market Management &middot; More Active and Transparent Financial Oversight &middot; Active Banking Regulation and Central-Bank Calibration

Financial enforcement becomes an instrument of geopolitical coercion 81/100

How: Persistent conflicts and sanctions responses intersect with expanding financial supervision, transparency, and illicit-finance enforcement, making access to regulated financial channels increasingly conditional on political alignment.

Resolves to: Cross-border banks and companies face higher compliance costs, fragmented payment relationships, and greater exposure to sanctions risk; jurisdictions with trusted financial systems gain leverage.

Converging trends: Geopolitical Tensions Drive Coercion and Multilateral Response &middot; More Active and Targeted Financial Oversight &middot; Stronger Oversight and Financial-System Resilience

Strategic credit allocation accelerates divergence between economic models 77/100

How: China’s targeted banking support and broader active regulation coincide with national-security trade strategies and selective partnerships, encouraging state-directed investment in infrastructure, technology, and self-reliance.

Resolves to: Capital flows increasingly favor strategically protected sectors rather than purely efficient ones, creating opportunities for supported industries while raising risks of overcapacity and capital misallocation.

Converging trends: Active Banking Regulation and Central-Bank Calibration &middot; Trade Policy Shifts Toward National Security Focus &middot; More Active and Targeted Financial Oversight

Where separate structural trends independently point at the same mechanism and the same winners and losers. The highest-order reading in the feed — it moves over months and is drawn from the document corpus, not price action. Not investment advice.

Companies in the structural record

TickerCompanyWeightShort-termRead
NEENextEra Energy356——
Large regulated-utility and renewable-generation businesses provide exposure to grid expansion and clean-power deployment.
agriculture food, banking, climate policy, energy policy
ACNAccenture340+92.4aligned
Advises financial institutions on regulatory compliance, controls, cybersecurity, and operational resilience.
banking, defense security, education skills, energy policy
PLTRPalantir Technologies321——
Provides AI-driven data analytics for intelligence and hybrid threat detection.
defense security, financial regulation, geopolitics, immigration
SIEGYSiemens321——
Industrial automation, electrification, and infrastructure systems are relevant to regional resilience and coordinated industrial modernization.
climate policy, energy policy, geopolitics, industrial policy
CATCaterpillar318——
Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs
agriculture food, climate policy, defense security, geopolitics
LMTLockheed Martin288——
Primary supplier of missile systems and aircraft used in regional conflicts.
defense security, financial regulation, geopolitics, infrastructure
SU.PASchneider Electric287——
Provides electrical equipment, automation, and energy-management systems supporting grid modernization and industrial efficiency.
climate policy, energy policy, financial regulation, infrastructure
TRIThomson Reuters Corp270——
Provides legal, tax, risk, and compliance information and workflow tools used by regulated organizations.
banking, financial regulation, geopolitics, monetary policy
BA.LBAE Systems257——
Major UK-based defence prime supplying maritime, air, land, and electronic systems.
defense security, geopolitics, industrial policy, infrastructure
HONHoneywell International255——
Energy efficiency building automation systems for commercial/industrial demand reduction
defense security, energy policy, geopolitics, industrial 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.

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.

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.

Resilience map — better placed vs more exposed

Better placed — the resilient / well-capitalised side

aerospace and defensecybersecurityAI driven intelligence and surveillancesatellite communicationshumanitarian logisticsAI driven surveillance and intelligencecounter UAS (Unmanned Aircraft Systems)satellite imagery and GEOINTcritical infrastructure cybersecurityautonomous defense systems

TickerCompanyConfLive sentiment
PLTRPalantir Technologies85
CRWDCrowdStrike85
RTXRTX Corporation85
AVAVAeroVironment85
RHM.DERheinmetall85
NOCNorthrop Grumman85
AIR.PAAirbus85
TCS.NSTCS85
INFYInfosys85
PYPLPayPal Holdings Inc.85
COINCoinbase Global Inc.85
FITFiserv Inc.85
MAMastercard Incorporated85
ACMAECOM85
AIC3.ai85
CATCaterpillar Inc85
TTETotalEnergies SE85
UNPUnion Pacific Corporation85
CBA.AXCommonwealth Bank of Australia85
WBC.AXWestpac Banking Corporation85
BHP.AXBHP Group85
PANWPalo Alto Networks, Inc.82
TSMTaiwan Semiconductor Manufacturing Company Limited82

More exposed — watch-only

regional tourismcommercial aviation (flight path disruptions)just in time global supply chainstraditional diplomacy reliant tradelegacy heavy armor platformstraditional physical border securityconventional non precision munitionsstatic perimeter defense hardwarenon aligned arms exporterstraditional diplomatic consulting (shifting to security led diplomacy)

TickerCompanyConfLive sentiment
BKNGBooking Holdings85
GDGeneral Dynamics85
BAJFINANCE.NBajaj Finance85
BAJAJFINBajaj Finance85
LICILife Insurance Corporation of India85
BAJFINANCEBajaj Finance85
DLFDLF Ltd85
IBNICICI Bank85
FOXFFoxconn Technology Group85
AAPLApple Inc.82
BABoeing Company82
BABAAlibaba Group Holding Limited82

The forward view distilled into one long/short read and cross-checked against live sentiment: confirmed means today's market already leans the same way, diverging means it does not yet. The better placed (long) side is the tradeable half; the more exposed side is watch-only — that short leg is not yet validated and tends to get run over while the broad market rises. Not investment advice.

Model consensus

ModelVoteTrust
Markov Regime EngineUP67%

Consensus: BULLISH

Benched

  • SPY Neural Net (1w) — realized hit rate 44.3% is below a coin flip — vote suspended until it recovers

Weekly index projection: +1.02% (80% band -2.58% to +3.56%).

Votes are weighted by each model's realised hit rate and suspended when it falls below its baseline.

Volatility & tail risk

Forecast volatility11.0% ann.
Percentile vs 6 months60%
Variance risk premium+4.8
Daily VaR (5%)-1.53%
Weekly VaR (5%)-3.42%
Weekly expected shortfall-5.61%

Premium in normal range — ⚠ LOW CONFIDENCE: the HAR fit (R²=0.07 in-sample / -0.19 OOS, worst -0.19) 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
Supply Chain0.910.8hCRITICAL
Semiconductors0.900.4hCRITICAL
Aerospace & Defense0.880.7hELEVATED
Biotechnology0.861.0hELEVATED
Cybersecurity0.770.4hELEVATED
Inflation0.760.9hELEVATED
Interest Rates0.730.4hELEVATED
FinTech0.711.0hELEVATED

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

Market feed volume

Scored today2,720
Yesterday, same hour2,780
Projected close of day2,878
Daily average1,316
Flow ratio vs normal1.52×
Total in corpus215,902

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

Something exciting is coming…

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