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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 & Greed60Greed
Systemic risk32Calm
Market regimeBullBull 91% · Side 9% · Bear 0%
Join free Updated 07 Oct 2026, 14:00 UTC · next refresh 15:00 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 & Greed60GreedFearGreed
Systemic risk32CalmCalmStressed
Market regimeBullBull 91% · Side 9% · Bear 0%
Volatility (VIX)15.8Forecast 11.4% ann.
Dollar regimeHOSTILE10Y 5.35% · DXY 102.5

Regime read: LONG · expected +2.90% ± 5.06% over an optimal 30-day hold · signal/noise 0.57 — inside one standard deviation of noise.

Modal state is Bull (90.7% posterior, +37.4%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1281%/day and dominates. Net +0.1292%/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+196.2Information Technology15.00.2994%NTT DATA Opens AI Factory Munich Where Clients Can Validate their AI in a Live EnvironmentprofitablePEGY < 0.75Fwd P/E < 15Near 52w High
AMD+108.3Information Technology40.70.6696%HPE Accelerates Enterprise AI Innovation With Next-Generation AMD CPU-Powered ServersprofitablePEGY < 0.75Near 52w HighExtended FWD P/E
CEG+94.9Utilities22.13.4836%What powered the S&P 500 to new record highsprofitableExpensive PEGY (>2)Mean Reversion: Euphoria (Short)
MRVL+83.8Information Technology41.70.9681%Despite 231% year-to-date surge, Marvell stock has 42% upside to Wall Street’s price targetprofitableExtended FWD P/EMean Reversion: Euphoria (Short)
MSFT+64.6Information Technology22.31.6587%Xbox Denies GTA 6 Cloud Streaming Rumors, But Stock Markets Remain Cautiousprofitable

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
1MSFTLONG44.9%-0.06-0.25-0.18Hot sentiment (decayed score 65.9); ⚠ Hostile macro: rising dollar + rising yields
2SHELLONG43.7%-0.12-0.13+0.42Accelerating velocity +20.8 (8 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
3INTCLONG45.1%-0.09-0.23+0.21Accelerating velocity +43.9 (19 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
4ULONG45.1%-0.09-0.23+0.21Accelerating velocity +27.4 (10 mentions/12h); CIO meta-model current selection; ⚠ Hostile macro: rising dollar + rising yields
5METALONG45.1%-0.09-0.23+0.21Accelerating velocity +19.3 (16 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
6NVDALONG44.1%-0.10-0.17+0.23Hot sentiment (decayed score 194.7); Accelerating velocity +29.7 (53 mentions/12h); ⚠ Near 52w High; ⚠ Hostile macro: rising dollar + rising yields
7AVGOLONG40.9%-0.17-0.04+0.57High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9
8MULONG40.9%-0.17-0.04+0.57High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9

Engine hit rate 41.1% over 643 scored calls (lower bound 37.3%), average net alpha -0.280%. 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

  • AVBPBearishClinical Trial95

    The late-stage failure of ArriVent’s lead asset is a fundamental thesis-breaking event that likely drives a greater-than-5% decline as investors reassess commercialization prospects, cash-burn risk, and the speculative value of the remaining pipeline.

    2026-10-06 14:51
  • 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

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

Interesting Movement

  • PL▲ more likely to outperform66% chance

    Planet Labs PBC — an estimated 66% probability of outperforming S&P 500 over next 5 trading days. · Security Expands Across Climate, Health, Cyber and Space

  • FTNT▲ more likely to outperform63% chance

    Fortinet, Inc. — an estimated 63% probability of outperforming S&P 500 over next 5 trading days. · Security is broadening across cyber, maritime, hybrid, and climate risks

  • PANW▲ more likely to outperform60% chance

    Palo Alto Networks, Inc. — an estimated 60% probability of outperforming S&P 500 over next 5 trading days. · Geopolitical insecurity is intensifying, driving calls for prevention

  • RCL▲ more likely to outperform54% chance

    Royal Caribbean Group — an estimated 54% probability of outperforming S&P 500 over next 5 trading days. · North American Security Becomes More Operational and Hemispheric

  • TW▲ more likely to outperform54% chance

    Tradeweb Markets Inc. — an estimated 54% probability of outperforming S&P 500 over next 5 trading days. · Sovereign debt markets move toward scheduled, transparent issuance

  • EVH▲ more likely to outperform52% chance

    Evolent Health, Inc. — an estimated 52% probability of outperforming S&P 500 over next 5 trading days. · Toward Greater Oversight of Healthcare Institutions

  • NOK▲ more likely to outperform51% chance

    Nokia — an estimated 51% probability of outperforming S&P 500 over next 5 trading days. · Multifaceted Government Intervention in Technology and Digital Safety

  • RKLB▲ more likely to outperform51% chance

    Rocket Lab USA, Inc. — an estimated 51% probability of outperforming S&P 500 over next 5 trading days. · Commercial space licensing is moving toward streamlined regulation

  • CRWD▲ more likely to outperform50% chance

    CrowdStrike Holdings, Inc. — an estimated 50% probability of outperforming S&P 500 over next 5 trading days. · Security risks are broadening, driving prevention and preparedness

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
INTC+43.919Why Intel Rallied in September
U+27.410Brokers Suggest Investing in Unity Software (U): Read This Before Placing a Bet
NVDA+26.953NTT DATA Opens AI Factory Munich Where Clients Can Validate their AI in a Live Environment
SHEL+20.88Shell’s Refining Margin Soars to Record High After Middle East Conflict Upends Fuel Markets
META+19.316Wells Fargo Just Put a $1,000 Price Target on Meta

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

Under pressure

NKE-28.2Down 81% From Its All-Time High, Is Nike Stock a Generational Buying Opportunity for Long-Term Investors?
BULL-25.6Webull Shares Fall 15% After House Panel Raises Concerns Over China Ties
MCD-18.9McDonald’s sued for allegedly using AI tool to determine pricing for franchises
AVBP-16.2ArriVent BioPharma Lung Cancer Drug Fails Primary Trial Endpoint, Stock Hits 52-Week Low
STZ-13.2Constellation Brands declares $1.03 dividend

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Information Technology+660+2,627+4,433
Industrials+57+436+986
Energy+41+354+3,284
Health Carebearish reversal-38+61+750
Financialsbearish reversal-75+57+3,767
Communication Servicesbearish reversal-33-43+402
Materialsbearish reversal-91-256+132
Consumer Staples-138-410-414
Utilities-8-659-3,580
Consumer Discretionary-153-710-3,300
Real Estate-219-1,458-6,457

Industry cuts (1W)

  • Artificial Intelligence+5,651
  • Gold & Commodities-1,006
  • Oil & Gas-964
  • Electric Vehicles-850
  • Biotechnology-848
  • FinTech-815
  • Cybersecurity-707
  • Aerospace & Defense-588

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Artificial Intelligence+821.0+1,644
Semiconductors+155.2+306
Data Centers+132.0+231
Nuclear Energy+94.3+129
Market Concentration-29.8-36
Geopolitical Risk-33.0-98
Inflation-46.7-90
Supply Chain-52.0-96

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

Structural themes

ThemeSourcesConviction
geopolitics29661
defense security23959
healthcare policy20451
infrastructure12950
pharma biotech11451
trade policy10956
energy policy9660
climate policy9743
financial regulation9455
transport mobility8149

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

Energy security creates a two-track transition 91/100

How: Oil supply restraint and geopolitical insecurity keep fossil-fuel prices and availability volatile, while rising electricity demand and rapid solar expansion accelerate diversification without eliminating near-term oil dependence.

Resolves to: Energy systems, capital allocation, and policy will split between securing hydrocarbons now and scaling renewables for resilience later, rewarding flexible infrastructure but prolonging transition volatility.

Converging trends: Oil supply restraint and prices remain elevated amid contested transition &middot; Energy security is driving diversification beyond volatile fossil fuels &middot; Rising Demand Drives Energy Security Measures and Solar Expansion &middot; Geopolitical insecurity is intensifying, driving calls for prevention

Fragmented geopolitics makes cooperation narrower and more security-focused 89/100

How: Intensifying insecurity and contested multipolarity increase conflict and strategic rivalry, while prevention efforts and selective cooperation redirect multilateralism toward issue-specific crisis management rather than broad alignment.

Resolves to: Institutions and investors should expect unstable coalitions, higher defense and preparedness spending, and less predictable rules across trade, technology, and security-sensitive sectors.

Converging trends: Geopolitical insecurity is intensifying, driving calls for prevention &middot; More contested multipolarity with selective cooperation &middot; Security risks are broadening, driving prevention and preparedness

Managed energy markets amplify inflation and policy intervention 84/100

How: Constrained oil and diesel supply, rising electricity demand, and geopolitical shocks compound price volatility, prompting reserve management, continued production controls, and more active financial oversight.

Resolves to: Energy shocks are more likely to transmit into inflation, monetary decisions, and financial stability measures, increasing the value of liquidity and policy resilience.

Converging trends: Oil supply remains constrained despite clean-energy transition pressure &middot; Energy security tightens amid demand growth and managed supply &middot; More active and transparent financial oversight &middot; Geopolitical insecurity is intensifying, driving calls for prevention

Commercial space becomes strategic infrastructure under streamlined rules 78/100

How: Easier commercial launch and reentry licensing expands private-sector space activity just as multipolar competition and broadening security risks raise demand for resilient, strategically useful space capabilities.

Resolves to: Space markets may grow faster, but operators will face greater strategic scrutiny, security expectations, and exposure to geopolitical competition despite lighter civilian regulation.

Converging trends: Commercial space licensing is moving toward streamlined regulation &middot; More contested multipolarity with selective cooperation &middot; Security risks are broadening, driving prevention and preparedness

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 Energy353——
Large U.S. utility and renewable-power developer with exposure to wind, solar, storage, and grid investment.
agriculture food, banking, climate policy, energy policy
ACNAccenture330——
Advises financial institutions on regulatory compliance, controls, cybersecurity, and operational resilience.
banking, defense security, education skills, energy policy
PLTRPalantir Technologies319——
Provides AI-driven data analytics for intelligence and hybrid threat detection.
defense security, financial regulation, geopolitics, immigration
SIEGYSiemens306——
Industrial automation, electrification, and infrastructure systems are relevant to regional resilience and coordinated industrial modernization.
climate policy, energy policy, geopolitics, industrial policy
CATCaterpillar303——
Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs
agriculture food, climate policy, defense security, geopolitics
LMTLockheed Martin291——
Primary supplier of missile systems and aircraft used in regional conflicts.
defense security, financial regulation, geopolitics, industrial policy
AIR.PAAirbus278——
Supplies military transport aircraft and defense systems to European allies.
climate policy, defense security, energy policy, geopolitics
SU.PASchneider Electric276——
Provides electrical equipment, automation, and energy-management systems supporting grid modernization and industrial efficiency.
climate policy, energy policy, financial regulation, infrastructure
MSFTMicrosoft275+64.6diverging
Cloud infrastructure (Azure) essential for the shift to 24/7 real-time financial operations.
climate policy, education skills, energy policy, financial regulation
TRIThomson Reuters Corp271——
Provides legal, tax, risk, and compliance information and workflow tools used by regulated organizations.
banking, financial regulation, geopolitics, monetary 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, Bajaj Finance, 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, Bajaj Finance, Life Insurance Corporation of India, State Bank of India

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, State Bank of India, Bajaj Finance, Reliance Industries

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, State Bank of India, Bajaj Finance, DLF Ltd

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, State Bank of India, Reliance Industries

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
CVXChevron Corporation82confirmed +32.2
PLTRPalantir Technologies85
CRWDCrowdStrike85
RTXRTX Corporation85
AVAVAeroVironment85
RHM.DERheinmetall85
NOCNorthrop Grumman85
AIR.PAAirbus85
TCS.NSTCS85
INFYInfosys85
PYPLPayPal Holdings Inc.85
COINCoinbase Global Inc.85
FISVFiserv 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
XOMExxon Mobil Corporation82
SLBSLB82

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
IBNICICI Bank85
DALDelta Air Lines, Inc.82
FDXFedEx Corporation82

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 EngineUP69%

Consensus: BULLISH

Benched

  • SPY Neural Net (1w) — realized hit rate 48.6% is below a coin flip — vote suspended until it recovers
  • Sector NN Breadth — realized hit rate 43.8% is below a coin flip — vote suspended until it recovers

Weekly index projection: +0.65% (80% band -2.26% to +2.35%).

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

Volatility & tail risk

Forecast volatility11.4% ann.
Percentile vs 6 months63%
Variance risk premium+4.2
Daily VaR (5%)-1.54%
Weekly VaR (5%)-3.44%
Weekly expected shortfall-5.70%

Premium in normal range — ⚠ LOW CONFIDENCE: the HAR fit (R²=0.07 in-sample / -0.21 OOS, worst -0.21) 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 Chain0.830.7hELEVATED
Interest Rates0.830.7hELEVATED
Cybersecurity0.791.0hELEVATED
Oil & Gas0.761.0hELEVATED
Aerospace & Defense0.710.7hELEVATED
Electric Vehicles0.691.0hSUBCRITICAL
Biotechnology0.690.8hSUBCRITICAL
Inflation0.670.7hSUBCRITICAL

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

Market feed volume

Scored today1,284
Yesterday, same hour2,657
Projected close of day2,610
Daily average1,338
Flow ratio vs normal1.08×
Total in corpus226,174

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

Something exciting is coming…

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