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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 & Greed57Greed
Systemic risk42Calm
Market regimeBullBull 78% · Side 22% · Bear 0%
Join free Updated 30 Sep 2026, 10:01 UTC · next refresh 11:01 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 & Greed57GreedFearGreed
Systemic risk42CalmCalmStressed
Market regimeBullBull 78% · Side 22% · Bear 0%
Volatility (VIX)16.0Forecast 10.8% ann.
Dollar regimeHOSTILE10Y 5.26% · DXY 101.3

Regime read: LONG · expected +2.87% ± 5.20% over an optimal 30-day hold · signal/noise 0.55 — inside one standard deviation of noise.

Modal state is Bull (77.5% posterior, +36.7%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1089%/day and dominates. Net +0.1150%/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
NVDA+96.5Information Technology14.50.4887%Nvidia Was the Big Winner of Trump’s AI Lunch, Here’s WhyconvictionprofitablePEGY < 0.75Fwd P/E < 15
MU+40.5Information Technology6.60.1583%Micron Q4 Earnings Outlook Could Signal Where the AI Chip Market Is HeadedconvictionprofitablePEGY < 0.75Fwd P/E < 15
CCL+38.9Consumer Discretionary9.80.6729%US Stock Market Today: S&P 500 Futures Inch Higher As Rate Pressures LingerprofitablePEGY < 0.75Fwd P/E < 15EARNINGS DECLINING YoY (-6%)
AMD+34.8Information Technology39.00.6293%Advanced Micro Devices (AMD) Is Spending $8.2 Billion On World LabsprofitablePEGY < 0.75Near 52w HighExtended FWD P/E
META+29.4Communication Services21.10.9484%House Dem questions Big Tech over secret AI data center NDAs: WSJprofitableEARNINGS DECLINING YoY (-13%)

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
1AAPLLONG45.5%-0.06-0.20+0.12Accelerating velocity +10.4 (8 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9
2HIILONG44.3%-0.16-0.09+0.33Accelerating velocity +9.6 (3 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9
3HOODLONG45.5%-0.06-0.20+0.12Accelerating velocity +29.8 (12 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
4BALONG44.3%-0.16-0.09+0.33Accelerating velocity +41.2 (11 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
5MULONG43.6%-0.17-0.14+0.01Hot sentiment (decayed score 40.5); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9
6CCLLONG45.2%-0.06-0.21-0.09Hot sentiment (decayed score 39.0); Valuation corroborated (PEGY/fwd-PE/EV checks); Accelerating velocity +10.6 (6 mentions/12h); CIO meta-model current selection; ⚠ EARNINGS DECLINING YoY (-6%)
7NVDALONG43.6%-0.17-0.14+0.01Hot sentiment (decayed score 96.7); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields
8AVGOLONG42.2%-0.29-0.04+0.36High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9

Engine hit rate 41.6% over 582 scored calls (lower bound 37.6%), average net alpha -0.284%. 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

  • 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
  • SPCXBullishPartnership82

    A $12 billion annual recurring revenue stream from AI hosting is a fundamental shift in revenue profile from lumpy launch services to high-margin recurring AI infrastructure, though execution risk and Capex requirements remain significant.

    2026-09-16 19:27

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

Interesting Movement

  • DHR▲ more likely to outperform66% chance

    DHR — an estimated 66% probability of outperforming S&P 500 over next 5 trading days.

  • VTRS▲ more likely to outperform64% chance

    VTRS — an estimated 64% probability of outperforming S&P 500 over next 5 trading days.

  • SSYS▲ more likely to outperform59% chance

    SSYS — an estimated 59% probability of outperforming S&P 500 over next 5 trading days.

  • MRNA▲ more likely to outperform58% chance

    MRNA — an estimated 58% probability of outperforming S&P 500 over next 5 trading days.

  • ILMN▲ more likely to outperform54% chance

    Illumina, Inc. — an estimated 54% probability of outperforming S&P 500 over next 5 trading days. · Targeted Investment in Equitable Precision Oncology

  • PANW▲ more likely to outperform53% chance

    PANW — an estimated 53% probability of outperforming S&P 500 over next 5 trading days.

  • NVAX▲ more likely to outperform52% chance

    NVAX — an estimated 52% probability of outperforming S&P 500 over next 5 trading days.

  • CRWD▲ more likely to outperform51% chance

    CRWD — an estimated 51% probability of outperforming S&P 500 over next 5 trading days.

  • MAR▲ more likely to outperform51% chance

    MAR — an estimated 51% probability of outperforming S&P 500 over next 5 trading days.

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
BA+41.211Ethiopian Airlines to sign agreement with Boeing for 10 freighters
HOOD+29.812Why Are Nasdaq Futures Rising Premarket? MU, TSLA, CAPR, VNDA, ASTS, HOOD, BA Stocks In Focus
CCL+10.66US Stock Market Today: S&P 500 Futures Inch Higher As Rate Pressures Linger
AAPL+10.48Amazon (AMZN) and Apple (AAPL) Must Face a UK Class Action Over Marketplace Sales
HII+9.63HII’s Newport News Shipbuilding Achieves Preliminary Acceptance of John F. Kennedy (CVN 79)

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

Under pressure

FICO-38.2Fair Isaac (FICO) Faces Fresh Regulatory Pressure
MDB-19.7What Does MongoDB (MDB) 9.0 And Atlas Infinite Mean For Its AI Push?
RBLX-11.0Roblox (RBLX) Suffers a Larger Drop Than the General Market: Key Insights
CNXC-7.9Concentrix Stock Falls After Earnings as AI Transition Weighs on Revenue
PEP-7.2Tesla's Semi Could Unlock a $17 Billion Software Opportunity

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Financials+152+916+4,271
Information Technology+336+862+2,346
Energy+43+615+4,484
Industrials+154+495+433
Health Care-1+276+810
Communication Services+29+179+607
Materialsbearish reversal-54+40+585
Consumer Staples-81-1-87
Consumer Discretionary-116-582-3,312
Utilities-193-1,087-3,679
Real Estate-268-1,710-6,456

Industry cuts (1W)

  • Artificial Intelligence+3,240
  • Oil & Gas-852
  • Gold & Commodities-646
  • Electric Vehicles-584
  • Biotechnology-458
  • Cybersecurity-428
  • Crypto & Digital Assets+354
  • FinTech-330

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Artificial Intelligence+809.0+1,236
Semiconductors+118.2+161
Data Centers+100.0+148
Cloud Computing+82.8+122
Fuel Costs-29.5-33
IPO Market-35.7-33
Tariffs-46.5-53
Inflation-47.2-124

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

Structural themes

ThemeSourcesConviction
geopolitics36361
defense security21156
healthcare policy17954
infrastructure15148
trade policy13959
climate policy10442
pharma biotech10147
transport mobility10152
energy policy9255
technology regulation9046

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

Critical minerals become strategic chokepoints in competing energy transitions 91/100

How: Energy-security investment and decarbonization increase demand for minerals and resilient supply chains, while trade policy and multipolar rivalry push governments toward domestic production, controls, and diversified blocs.

Resolves to: Clean-energy deployment becomes more expensive and politically conditional; miners, processing capacity, recycling, and politically aligned supply chains gain strategic value.

Converging trends: Energy policy takes a dual-track path &middot; Trade Policy Shifts Toward National Security Focus &middot; More contested multipolarity with selective cooperation

Infrastructure and essential systems become frontline security assets 88/100

How: Broader security priorities combine with persistent conflict, coercion, climate, health, and displacement risks, turning ports, energy networks, food systems, education, and digital infrastructure into targets and resilience priorities.

Resolves to: Governments and investors redirect capital toward redundancy, protection, and domestic capacity, while operating costs and disruption risks rise across globally connected assets.

Converging trends: Security Broadens Toward Resilience and Integrated Responses &middot; Security Is Broadening Amid Intensifying Geopolitical Pressure &middot; Geopolitical Tensions Drive Coercion and Multilateral Response

Cooperation shifts from universal rules to modular security partnerships 87/100

How: Persistent coercion and multilateral strain make broad consensus harder, while managed cooperation and strategic partnerships expand around specific trade, defence, technology, infrastructure, and crisis-response needs.

Resolves to: Countries build overlapping, issue-specific coalitions rather than one integrated order, increasing diplomatic transaction costs but benefiting firms embedded in trusted partner networks.

Converging trends: More contested multipolarity with selective cooperation &middot; Managed Cooperation and Strategic Partnerships Expand &middot; Crisis-driven cooperation amid multilateral strain

Financial fragmentation follows trade and geopolitical securitization 85/100

How: National-security trade policy and fragmented multilateralism encourage sanctions, payment controls, and strategic financial groupings, while tighter banking oversight formalizes controls around banks and stablecoins.

Resolves to: Cross-border finance becomes more expensive and jurisdiction-dependent; compliant domestic payment rails and regulated stablecoin ecosystems gain importance, while institutions face higher capital and compliance burdens.

Converging trends: Trade Policy Shifts Toward National Security Focus &middot; Toward Fragmented, Security-Driven Multilateralism &middot; More active and formal banking 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

TickerCompanyWeight
PLTRPalantir Technologies327
Provides AI-driven data analytics for intelligence and hybrid threat detection.
defense security, financial regulation, geopolitics, immigration
SIEGYSiemens322
Broad international industrial exposure creates sensitivity to fragmented markets, export controls, and disrupted supply chains.
climate policy, energy policy, geopolitics, industrial policy
ACNAccenture322
Consults large enterprises on digital transformation to meet new regulatory and reporting standards.
banking, defense security, education skills, energy policy
NEENextEra Energy318
Large regulated-utility and renewable-generation businesses provide exposure to grid expansion and clean-power deployment.
banking, climate policy, energy policy, financial regulation
CATCaterpillar315
Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs
agriculture food, climate policy, defense security, geopolitics
SU.PASchneider Electric289
Provides electrical equipment, automation, and energy-management systems supporting grid modernization and industrial efficiency.
climate policy, energy policy, financial regulation, infrastructure
LMTLockheed Martin288
Primary supplier of missile systems and aircraft used in regional conflicts.
defense security, financial regulation, geopolitics, infrastructure
BA.LBAE Systems262
Major UK-based defence prime supplying maritime, air, land, and electronic systems.
defense security, geopolitics, industrial policy, infrastructure
HONHoneywell International259
Energy efficiency building automation systems for commercial/industrial demand reduction
defense security, energy policy, geopolitics, industrial policy
AIR.PAAirbus245
Supplies military transport aircraft and defense systems to European allies.
climate policy, defense security, energy policy, geopolitics

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

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 EngineUP65%

Consensus: BULLISH

Benched

  • SPY Neural Net (1w) — realized hit rate 44.5% is below a coin flip — vote suspended until it recovers

Weekly index projection: +0.26% (80% band -2.02% to +2.56%).

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

Volatility & tail risk

Forecast volatility10.8% ann.
Percentile vs 6 months57%
Variance risk premium+4.5
Daily VaR (5%)-1.53%
Weekly VaR (5%)-3.43%
Weekly expected shortfall-5.64%

Premium in normal range — ⚠ LOW CONFIDENCE: the HAR fit (R²=0.06 in-sample / -0.08 OOS, worst -0.08) 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 Chain0.830.8hELEVATED
Semiconductors0.830.4hELEVATED
Aerospace & Defense0.820.6hELEVATED
Crypto & Digital Assets0.710.6hELEVATED
FinTech0.701.2hSUBCRITICAL
Oil & Gas0.640.8hSUBCRITICAL
Cybersecurity0.600.2hSUBCRITICAL
Inflation0.590.7hSUBCRITICAL

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

Market feed volume

Scored today528
Yesterday, same hour2,856
Projected close of day1,740
Daily average1,302
Flow ratio vs normal1.86×
Total in corpus210,930

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

Something exciting is coming…

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