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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 risk36Calm
Market regimeBullBull 88% · Side 12% · Bear 0%
Join free Updated 05 Oct 2026, 18:01 UTC · next refresh 19:01 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 risk36CalmCalmStressed
Market regimeBullBull 88% · Side 12% · Bear 0%
Volatility (VIX)15.6Forecast 11.6% 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+111.8Information Technology15.00.29100%3 US Tech Stocks Investors Are Repricing As Treasury Yields Pressure GrowthprofitablePEGY < 0.75Near 52w High
PTC+68.4Information Technology21.61.3586%Top Midday Stories: PTC to Be Acquired by Schneider Electric for $23.7 Billion; C.H. Robinson to Acquire RXO for $5.8 BillionprofitablePrice > Analyst TargetEARNINGS DECLINING YoY (-12%)
RXO+43.8Industrials46.2—94%S&P revises C.H. Robinson outlook to negative on $5.3B RXO acquisitionPrice > Analyst TargetNear 52w High
MU+41.0Information Technology5.20.1682%Samsung May Report Its First 100 Trillion Won Quarter. Micron Stock Has More to Lose Than to Gain.convictionprofitablePEGY < 0.75Fwd P/E < 15
MSFT+37.8Information Technology22.21.6186%3 US Tech Stocks Investors Are Repricing As Treasury Yields Pressure Growthprofitable

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 +44.6 (13 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9
2MULONG43.2%-0.10-0.14+0.16Hot sentiment (decayed score 41.0); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9
3MSFTLONG45.0%-0.06-0.26-0.19Hot sentiment (decayed score 37.9); ⚠ Hostile macro: rising dollar + rising yields
4AVGOLONG41.3%-0.14-0.00+0.53High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9
5NVDALONG44.3%-0.09-0.17+0.22Hot sentiment (decayed score 112.1); Accelerating velocity +56.2 (65 mentions/12h); ⚠ Near 52w High; ⚠ Hostile macro: rising dollar + rising yields
6STXLONG41.3%-0.14-0.00+0.53High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9
7PTCLONG45.2%-0.06-0.24+0.04Hot sentiment (decayed score 68.6); Accelerating velocity +60.8 (16 mentions/12h); ⚠ Price > Analyst Target; EARNINGS DECLINING YoY (-12%); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9
8PCVXLONG44.0%-0.10-0.12+0.40Accelerating velocity +51.0 (14 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; ⚠ Weak fundamentals: F-score 2/9

Engine hit rate 41.5% over 626 scored calls (lower bound 37.7%), average net alpha -0.260%. 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
RXO+89.822S&P revises C.H. Robinson outlook to negative on $5.3B RXO acquisition
NVDA+56.2653 US Tech Stocks Investors Are Repricing As Treasury Yields Pressure Growth
PTC+54.815Top Midday Stories: PTC to Be Acquired by Schneider Electric for $23.7 Billion; C.H. Robinson to Acquire RXO for $5.8 Billion
PCVX+51.014Vaxcyte Stock Spikes 27% as Lead Vaccine Candidate Takes Aim at Pfizer and Merck
DKNG+44.613DraftKings Stock Pops on BofA Upgrade. Prediction Markets Could Be a ‘Win-Win.’

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

Under pressure

NKE-27.7Higher rates are pummeling consumer discretionary stocks — here's the damage: Chart of the Day
INTC-26.9The Stock Market Dynamic Has Shifted, Just Look at Intel and Nvidia
CHRW-16.6S&P revises C.H. Robinson outlook to negative on $5.3B RXO acquisition
PEP-16.2Pepsi vs. Coca-Cola: Wall Street has clearly chosen its favorite soda stock
AN-12.0Microsoft upgraded, HubSpot downgraded: Wall Street's top analyst calls

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Information Technology+321+2,136+3,521
Energy+63+602+3,385
Industrials+46+537+845
Financials+41+393+3,959
Health Care+15+143+792
Communication Servicesbearish reversal-48+33+470
Materialsbearish reversal-29-221+275
Consumer Staples-80-317-242
Consumer Discretionary-59-736-3,173
Utilities-103-983-3,601
Real Estate-166-1,583-6,230

Industry cuts (1W)

  • Artificial Intelligence+5,430
  • Oil & Gas-1,072
  • Gold & Commodities-958
  • Electric Vehicles-872
  • Biotechnology-776
  • FinTech-726
  • Cybersecurity-704
  • Aerospace & Defense-514

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Interest Rates+77.5-272
Cloud Computing+47.8+124
Mergers & Acquisitions+34.7+48
Emerging Markets+30.3+32
Defense Spending-31.3+23
Semiconductors-39.2+113
Oil Supply-42.8-49
Sovereign Debt-48.5-58

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

Structural themes

ThemeSourcesConviction
geopolitics39559
healthcare policy22252
defense security22052
trade policy15557
infrastructure14450
pharma biotech13752
transport mobility9350
energy policy8053
climate policy8040
technology regulation7844

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

Strategic trade blocs raise costs and duplicate supply chains 91/100

How: National-security trade policies intensify contested multipolarity, while China’s expanding influence encourages governments to prioritize self-reliance, trusted partners, and redundant production over lowest-cost integration.

Resolves to: Global goods become more expensive and capital-intensive; investors benefit from reshoring and strategic manufacturing but face lower efficiency, fragmented markets, and geopolitical allocation risk.

Converging trends: Trade Policy Shifts Toward National Security Focus &middot; More contested multipolarity with selective cooperation &middot; China expands global influence amid contested US and European relations

Geopolitical oil shocks collide with increasingly interventionist finance 87/100

How: Persistent conflict and constrained oil supply sustain energy-price pressure, while active central banks and supervisors manage the resulting inflation, liquidity, and credit risks.

Resolves to: Higher-for-longer financing conditions and selective credit support could squeeze energy-intensive firms, weaker banks, and indebted governments, while favoring energy producers and resilient lenders.

Converging trends: Oil supply stays constrained as prices remain elevated &middot; Geopolitical Tensions Drive Coercion and Multilateral Response &middot; More active and transparent financial oversight

Financial oversight fragments cross-border capital and compliance systems 85/100

How: National-security trade policies and geopolitical coercion expand sanctions and strategic controls, while stronger financial supervision embeds those priorities into banks, payments, and investment governance.

Resolves to: Cross-border finance becomes more expensive and segmented; compliant institutions and domestic funding markets gain importance, while firms exposed to sanctions, opaque jurisdictions, or weak controls face rising risk.

Converging trends: Trade Policy Shifts Toward National Security Focus &middot; Geopolitical Tensions Drive Coercion and Multilateral Response &middot; More Active and Targeted Financial Oversight

Space deregulation accelerates strategic competition and launch congestion 82/100

How: Streamlined commercial-space licensing lowers barriers to launch precisely as geopolitical rivalry and Chinese global influence make space capabilities more strategically valuable.

Resolves to: Launch cadence, satellite networks, and space logistics may scale faster, creating investment opportunities in commercial infrastructure while increasing orbital congestion, security exposure, and regulatory competition.

Converging trends: Commercial space licensing is moving toward streamlined regulation &middot; More contested multipolarity with selective cooperation &middot; China expands global influence amid contested US and European relations

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 Energy346——
Large regulated-utility and renewable-generation businesses provide exposure to grid expansion and clean-power deployment.
agriculture food, banking, climate policy, energy policy
ACNAccenture329——
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
MSFTMicrosoft279+37.8diverging
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. 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
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
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
IBNICICI Bank85
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 47.1% is below a coin flip — vote suspended until it recovers
  • Sector NN Breadth — realized hit rate 43.9% is below a coin flip — vote suspended until it recovers

Weekly index projection: +0.59% (80% band -1.82% to +2.61%).

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

Volatility & tail risk

Forecast volatility11.6% ann.
Percentile vs 6 months65%
Variance risk premium+3.9
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 / -0.20 OOS, worst -0.20) 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
Oil & Gas0.811.1hELEVATED
Supply Chain0.800.8hELEVATED
Cybersecurity0.751.0hELEVATED
Cloud & Data Centers0.740.4hELEVATED
Aerospace & Defense0.740.8hELEVATED
Inflation0.720.9hELEVATED
Biotechnology0.721.0hELEVATED

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

Market feed volume

Scored today1,940
Yesterday, same hour674
Projected close of day2,507
Daily average1,328
Flow ratio vs normal0.97×
Total in corpus221,691

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

Something exciting is coming…

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