Archived snapshot from 05 Oct 2026, 14:01 UTC — click here for the latest live data →
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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 & Greed56Greed
Systemic risk36Calm
Market regimeBullBull 88% · Side 12% · Bear 0%
Join free Updated 05 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 & Greed56GreedFearGreed
Systemic risk36CalmCalmStressed
Market regimeBullBull 88% · Side 12% · Bear 0%
Volatility (VIX)15.9Forecast 11.5% ann.
Dollar regimeHOSTILE10Y 5.29% · DXY 102.2

Regime read: LONG · expected +2.79% ± 5.15% over an optimal 30-day hold · signal/noise 0.54 — inside one standard deviation of noise.

Modal state is Bull (88.5% posterior, +37.3%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1245%/day and dominates. Net +0.1249%/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+92.6Information Technology15.00.29100%Nvidia stock nears record highs on Foxconn numbers, Cerebras rises on Altman commentsprofitablePEGY < 0.75Near 52w High
PTC+68.3Information Technology21.81.3587%PTC Stock Soars 35% on $22.6 Billion Schneider Electric Deal. Why It’s a Win for Software.profitablePrice > Analyst TargetEARNINGS DECLINING YoY (-12%)
MU+44.2Information Technology5.10.1682%Zacks Investment Ideas feature highlights: Micron and JabilconvictionprofitablePEGY < 0.75Fwd P/E < 15
TSLA+30.1Consumer Discretionary174.34.4338%Truist holds Tesla stock rating at Hold after delivery beatprofitableExtended FWD P/EExpensive PEGY (>2)
META+26.0Communication Services21.20.9584%Human-Computer Interaction Market Report 2026: Global Forecast to 2030 | Capitalize on AI, IoT and Multimodal Interfaces as Apple, Google, Microsoft and Meta Scale a $1.97T MarketprofitableEARNINGS 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
1DKNGLONG45.4%-0.07-0.23+0.22Accelerating velocity +21.4 (5 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9
2MULONG43.2%-0.10-0.14+0.16Hot sentiment (decayed score 35.1); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9
3AVGOLONG43.2%-0.10-0.14+0.16Hot sentiment (decayed score 25.0); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9
4CBRSLONG44.0%-0.10-0.12+0.40Accelerating velocity +20.6 (5 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
5RXOLONG45.4%-0.07-0.23+0.22Accelerating velocity +35.8 (8 mentions/12h); CIO meta-model current selection; ⚠ Hostile macro: rising dollar + rising yields
6NVDALONG44.3%-0.09-0.17+0.22Hot sentiment (decayed score 81.8); Accelerating velocity +26.4 (34 mentions/12h); ⚠ Near 52w High; ⚠ Hostile macro: rising dollar + rising yields
7PTCLONG45.2%-0.06-0.24+0.04Hot sentiment (decayed score 62.8); Accelerating velocity +58.8 (13 mentions/12h); ⚠ Price > Analyst Target; EARNINGS DECLINING YoY (-12%); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9
8BMYLONG41.3%-0.14-0.00+0.53Despair reversion: sentiment -8 but undervalued; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9

Engine hit rate 41.4% over 625 scored calls (lower bound 37.6%), average net alpha -0.262%. 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

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

Interesting Movement

  • AMN▲ more likely to outperform68% chance

    AMN Healthcare Services — an estimated 68% probability of outperforming S&P 500 over next 5 trading days. · US Legislative Efforts to Improve Veteran and Elder Care

  • RCL▲ more likely to outperform62% chance

    Royal Caribbean Group — an estimated 62% probability of outperforming S&P 500 over next 5 trading days. · North American Security Becomes More Operational and Hemispheric

  • CERT▲ more likely to outperform59% chance

    Certara, Inc. — an estimated 59% probability of outperforming S&P 500 over next 5 trading days. · Pharma regulation is becoming faster, more innovative, and more structured

  • ILMN▲ more likely to outperform56% chance

    Illumina, Inc. — an estimated 56% probability of outperforming S&P 500 over next 5 trading days. · Tighter FDA oversight alongside continued medical innovation

  • CHPT▲ more likely to outperform53% chance

    ChargePoint Holdings, Inc. — an estimated 53% probability of outperforming S&P 500 over next 5 trading days. · Transport Electrification Slows Oil Demand Growth

  • DDD▲ more likely to outperform52% chance

    3D Systems Corporation — an estimated 52% probability of outperforming S&P 500 over next 5 trading days. · Incremental Security Regulation and Resilience Measures

  • CCL▲ more likely to outperform51% chance

    Carnival Corporation & plc — an estimated 51% probability of outperforming S&P 500 over next 5 trading days. · Continued Event-Specific Transport Safety Oversight

  • MRNA▲ more likely to outperform51% chance

    Moderna, Inc. — an estimated 51% probability of outperforming S&P 500 over next 5 trading days. · Tighter FDA oversight alongside continued medical innovation

  • SHOP▲ more likely to outperform50% chance

    Shopify — an estimated 50% probability of outperforming S&P 500 over next 5 trading days. · Strategic Trade Interventionism and Supply Chain Resilience

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
PTC+63.814PTC Stock Soars 35% on $22.6 Billion Schneider Electric Deal. Why It’s a Win for Software.
RXO+35.88C.H. Robinson to acquire freight broker RXO for $5.8 billion
DKNG+33.48DraftKings Stock Jumps On Upgrade, Analyst Sees Prediction Market Wins
NVDA+32.437Nvidia stock nears record highs on Foxconn numbers, Cerebras rises on Altman comments
CBRS+24.66Nvidia stock nears record highs on Foxconn numbers, Cerebras rises on Altman comments

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

Under pressure

NKE-29.6S&P downgrades Nike to ’A’ as China weakness and turnaround drag on cash flow
CHRW-14.0C.H. Robinson to acquire freight broker RXO for $5.8 billion
AN-13.7Microsoft upgraded, HubSpot downgraded: Wall Street's top analyst calls
GPI-11.9Morgan Stanley cuts AutoNation, Group 1 as dealer headwinds mount
INTC-8.1Embedded Systems Market 2026: Trends and Forecast to 2030 | Capitalize on Edge AI as Intel, Qualcomm, Nvidia, NXP Semiconductors, and Arm Accelerate the Market to $180.07 Billion

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Information Technology+238+2,102+3,435
Energy+70+644+3,383
Industrials+30+527+835
Financials+11+397+3,957
Health Care+16+151+792
Communication Servicesbearish reversal-20+80+500
Materialsbearish reversal-22-249+292
Consumer Staples-65-294-224
Consumer Discretionary-55-770-3,174
Utilities-71-992-3,576
Real Estate-135-1,592-6,217

Industry cuts (1W)

  • Artificial Intelligence+5,402
  • Oil & Gas-1,082
  • Gold & Commodities-973
  • Electric Vehicles-866
  • Biotechnology-763
  • FinTech-707
  • Cybersecurity-704
  • Aerospace & Defense-464

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Interest Rates+144.2-216
Supply Chain+34.5-18
Market Volatility+33.8-10
Inflation+33.7-38
Defense Spending-36.5+21
Data Centers-45.5+64
Semiconductors-65.5+88
Artificial Intelligence-352.5+597

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

Structural themes

ThemeSourcesConviction
geopolitics39159
healthcare policy22452
defense security21752
trade policy15257
infrastructure14551
pharma biotech13752
transport mobility9450
climate policy8140
energy policy7953
technology regulation7744

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 fragments markets and supply chains 91/100

How: National-security trade policies reinforce contested multipolarity and geopolitical coercion, while selective diplomacy preserves only narrow channels for cooperation.

Resolves to: Businesses and investors face higher costs, duplicated capacity, sanctions exposure, and a persistent premium on politically aligned supply chains.

Converging trends: Trade Policy Shifts Toward National Security Focus &middot; More contested multipolarity with selective cooperation &middot; Geopolitical Tensions Drive Coercion and Multilateral Response

Financial oversight becomes a tool of geopolitical resilience 87/100

How: Active financial supervision and tighter liquidity management interact with trade fragmentation and coercion, pushing authorities to manage banks, capital flows, and vulnerabilities more directly.

Resolves to: Cross-border finance becomes less fungible and more policy-dependent, increasing compliance burdens while favoring well-capitalized, domestically supported institutions.

Converging trends: More active and transparent financial oversight &middot; Tighter Liquidity Management and Continued Bank Supervision &middot; Trade Policy Shifts Toward National Security Focus &middot; Geopolitical Tensions Drive Coercion and Multilateral Response

Lighter space licensing accelerates strategic commercial capacity 84/100

How: Streamlined commercial space regulation lowers launch barriers just as multipolar rivalry and coercive competition raise the strategic value of satellites, launch access, and space infrastructure.

Resolves to: Commercial launch and space firms may scale faster and attract capital, while governments face growing pressure to balance innovation with security oversight.

Converging trends: Commercial space licensing is moving toward streamlined regulation &middot; More contested multipolarity with selective cooperation &middot; Geopolitical Tensions Drive Coercion and Multilateral Response

Cooperation shifts from integration toward managed rivalry 82/100

How: More active diplomatic networks provide issue-specific coordination, but national-security trade policies and geopolitical tensions limit broader economic convergence.

Resolves to: Treaties, security dialogues, and targeted agreements may multiply without restoring predictable globalization, creating a world of cooperation layered over persistent strategic competition.

Converging trends: More active, networked diplomatic cooperation &middot; More contested multipolarity with selective cooperation &middot; Trade Policy Shifts Toward National Security Focus &middot; Geopolitical Tensions Drive Coercion and Multilateral Response

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
NEENextEra Energy346
Large regulated-utility and renewable-generation businesses provide exposure to grid expansion and clean-power deployment.
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 Technologies314
Provides AI-driven data analytics for intelligence and hybrid threat detection.
defense security, financial regulation, geopolitics, immigration
SIEGYSiemens310
Industrial automation, electrification, and infrastructure systems are relevant to regional resilience and coordinated industrial modernization.
climate policy, energy policy, geopolitics, industrial policy
CATCaterpillar308
Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs
agriculture food, climate policy, defense security, geopolitics
LMTLockheed Martin284
Primary supplier of missile systems and aircraft used in regional conflicts.
defense security, financial regulation, geopolitics, industrial policy
AIR.PAAirbus284
Supplies military transport aircraft and defense systems to European allies.
climate policy, defense security, energy policy, geopolitics
SU.PASchneider Electric281
Provides electrical equipment, automation, and energy-management systems supporting grid modernization and industrial efficiency.
climate policy, energy policy, financial regulation, infrastructure
MSFTMicrosoft280
Cloud infrastructure (Azure) essential for the shift to 24/7 real-time financial operations.
climate policy, education skills, energy policy, financial regulation
SAPSAP270
Its enterprise systems include global trade services supporting restricted-party screening, export controls, and compliance workflows.
banking, defense security, education skills, financial regulation

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
RKLBRocket Lab USA, Inc.78
SPCEVirgin Galactic Holdings, Inc.78
LUNRIntuitive Machines, Inc.78

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
BAThe Boeing Company78

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 EngineUP68%

Consensus: BULLISH

Benched

  • SPY Neural Net (1w) — realized hit rate 45.2% is below a coin flip — vote suspended until it recovers
  • Sector NN Breadth — realized hit rate 43.6% is below a coin flip — vote suspended until it recovers

Weekly index projection: +0.41% (80% band -1.73% to +2.24%).

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

Volatility & tail risk

Forecast volatility11.5% ann.
Percentile vs 6 months64%
Variance risk premium+4.3
Daily VaR (5%)-1.54%
Weekly VaR (5%)-3.44%
Weekly expected shortfall-5.67%

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
Interest Rates0.840.7hELEVATED
Supply Chain0.800.8hELEVATED
Oil & Gas0.781.1hELEVATED
Cybersecurity0.761.0hELEVATED
Aerospace & Defense0.760.8hELEVATED
Inflation0.720.9hELEVATED
Biotechnology0.720.9hELEVATED
Crypto & Digital Assets0.710.9hELEVATED

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

Market feed volume

Scored today1,274
Yesterday, same hour674
Projected close of day2,388
Daily average1,324
Flow ratio vs normal0.73×
Total in corpus221,025

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

Something exciting is coming…

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