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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 & Greed45Neutral
Systemic risk46Neutral
Market regimeBullBull 51% · Side 49% · Bear 0%
Join free Updated 24 Sep 2026, 09:01 UTC · next refresh 10:01 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 & Greed45NeutralFearGreed
Systemic risk46NeutralCalmStressed
Market regimeBullBull 51% · Side 49% · Bear 0%
Volatility (VIX)16.2Forecast 13.1% ann.
Dollar regimeHOSTILE10Y 5.11% · DXY 101.1

Regime read: LONG · expected +2.63% ± 5.49% over an optimal 30-day hold · signal/noise 0.48 — inside one standard deviation of noise.

Modal state is Bull (51.2% posterior, +37.6%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.0781%/day and dominates. Net +0.0875%/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
META+75.9Communication Services21.30.9692%Meta’s Muse Comes for Financial StocksprofitableNear 52w HighEARNINGS DECLINING YoY (-13%)
AMD+38.2Information Technology39.50.6498%AMD Stock Has Blown Past Nvidia This Year. Is It Still the Better Buy?profitablePEGY < 0.75Near 52w HighExtended FWD P/E
NVDA+36.1Information Technology14.40.4985%Nvidia Backed SB Energy’s $50 Billion Valuation Push. Wall Street Just Hit the BrakesconvictionprofitablePEGY < 0.75Fwd P/E < 15
MU+26.8Information Technology6.70.1683%Morgan Stanley names its ‘overweight’ stocks to buy as earnings season approachesconvictionprofitablePEGY < 0.75Fwd P/E < 15
GME+16.7Consumer Discretionary13.00.3162%Billionaire GameStop CEO Ryan Cohen Buys 1.2 Million Shares for $26.4 Million. Is GME Now a Buy?profitablePEGY < 0.75Fwd P/E < 15

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
1GMELONG45.4%-0.04-0.18-0.27Hot sentiment (decayed score 16.9); Valuation corroborated (PEGY/fwd-PE/EV checks); Accelerating velocity +15.6 (5 mentions/12h); CIO meta-model current selection; ⚠ Hostile macro: rising dollar + rising yields
2SHOPLONG45.5%-0.05-0.18-0.04Accelerating velocity +15.2 (4 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; Insider cluster buying (69 buys/90d); Quality: F-score 7/9
3MULONG44.3%-0.12-0.17-0.57Hot sentiment (decayed score 27.1); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9
4NVDALONG44.3%-0.12-0.17-0.57Hot sentiment (decayed score 36.5); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields
5AVGOLONG43.4%-0.23-0.15-0.59High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9
6ONONLONG45.5%-0.05-0.18-0.04Accelerating velocity +8.0 (3 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
7AZOLONG45.5%-0.05-0.18-0.04Accelerating velocity +8.0 (4 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
8AMDLONG45.2%-0.02-0.18-0.55Hot sentiment (decayed score 38.7); ⚠ Near 52w High; Extended FWD P/E; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9

Engine hit rate 41.3% over 520 scored calls (lower bound 37.2%), average net alpha -0.271%. 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

  • INTC▲ more likely to outperform63% chance

    INTC — an estimated 63% probability of outperforming S&P 500 over next 5 trading days.

  • ETN▲ more likely to outperform62% chance

    ETN — an estimated 62% probability of outperforming S&P 500 over next 5 trading days.

  • TMO▲ more likely to outperform61% chance

    TMO — an estimated 61% probability of outperforming S&P 500 over next 5 trading days.

  • NICE▲ more likely to outperform58% chance

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

  • MDA▲ more likely to outperform53% chance

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

  • MRNA▲ more likely to outperform53% chance

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

  • NOK▲ more likely to outperform51% chance

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

  • SHOP▲ more likely to outperform51% chance

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

  • TSM▲ more likely to outperform51% chance

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

  • CRWD▲ more likely to outperform50% chance

    CRWD — an estimated 50% probability of outperforming S&P 500 over next 5 trading days.

  • ENR▲ more likely to outperform50% chance

    ENR — an estimated 50% probability of outperforming S&P 500 over next 5 trading days.

  • NVAX▲ more likely to outperform50% chance

    NVAX — an estimated 50% 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
META+19.624Meta’s Muse Comes for Financial Stocks
GME+15.65Billionaire GameStop CEO Ryan Cohen Buys 1.2 Million Shares for $26.4 Million. Is GME Now a Buy?
SHOP+15.24SHOP Stock Jumps as Meta Expands Shopify Partnership
ONON+8.03On Holding (ONON) Approves a $1 Billion Buyback Alongside its 2029 Targets
AZO+8.04AutoZone Expects Growth to Accelerate This Fiscal Year

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

Under pressure

NVO-11.1Novo Nordisk Has a Fresh New Name -- but It Still Faces the Same Old Problems
NFLX-6.7Netflix Stock Downgraded As YouTube Swipes Viewers
NUE-6.4Nucor (NUE): Strong Shipments, but Q3 Guidance Raises Earnings Questions
UPS-6.3Is UPS Stock Cheap Because It Chose To Shrink?
APP-6.0AppLovin Drops 5% as Edgewater Warns Market Share Growth Has Stalled; Magnite Slips, Trade Desk Slips 3%

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Financials+205+1,390+4,387
Information Technology+103+740+2,192
Industrials+64+266+47
Communication Services+77+138+509
Health Care+58+128+638
Materials+50+110+693
Consumer Staplesbullish reversal+29-32-91
Energy+11-170+3,997
Consumer Discretionary-102-582-3,179
Utilities-188-650-3,217
Real Estate-305-1,336-5,974

Industry cuts (1W)

  • Artificial Intelligence+1,881
  • Crypto & Digital Assets+782
  • Oil & Gas-557
  • Biotechnology-419
  • Electric Vehicles-394
  • Gold & Commodities-365
  • Cybersecurity-354
  • Aerospace & Defense-286

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Artificial Intelligence+262.3+557
Economic Growth+48.0+49
Geopolitics+35.7+29
Digital Assets+35.0+94
Treasury Yields-27.7-34
Bond Market-51.5-60
Inflation-55.7-105
Interest Rates-190.7-475

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

Structural themes

ThemeSourcesConviction
geopolitics29670
defense security29268
climate policy15868
infrastructure15667
healthcare policy15268
transport mobility14568
financial regulation10866
energy policy10661
technology regulation10459
trade policy10071

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

Trade Becomes a Compliance-Heavy Instrument of Strategic Competition 90/100

How: National-security trade policy increases restrictions, while technical rules-based administration converts geopolitical goals into detailed origin, subsidy, and anti-dumping procedures.

Resolves to: Cross-border trade becomes slower and more expensive, rewarding firms with diversified supply chains and sophisticated compliance capabilities.

Converging trends: Trade Policy Shifts Toward National Security Focus &middot; Technical, Rules-Based Trade Management &middot; Fragmented Order, Intensifying Pressure, Selective Diplomacy

Humanitarian Cooperation Expands as Its Operating Capacity Contracts 89/100

How: Health-system cooperation and humanitarian action continue, but conflict-driven needs, institutional defunding, geopolitical withdrawal, and funding strain simultaneously increase demand and reduce delivery capacity.

Resolves to: Regional institutions, philanthropy, and targeted bilateral programs become more important, while crisis response grows more uneven and dependent on selective funding.

Converging trends: Health Systems Cooperation Amid Funding and Geopolitical Strain &middot; Conflict Spillovers and Humanitarian Strain Intensify &middot; Fragmented Order, Intensifying Pressure, Selective Diplomacy

Conflict Turns Health and Climate Resilience Into Security Infrastructure 87/100

How: Geopolitical fragmentation and conflict spillovers increase exposure to disease, displacement, and environmental disruption, reinforcing security-oriented climate and health investment.

Resolves to: Funding and policy priority shift toward preparedness, surveillance, and resilience, while universal services face pressure to justify themselves through security outcomes.

Converging trends: Security Expands Across Climate, Health, Cyber and Space &middot; Health Policy Shifts Toward Resilient, Integrated Systems &middot; Climate Policy Holds, with Flexible Implementation &middot; Conflict Spillovers and Humanitarian Strain Intensify

Strategic Fragmentation Makes Logistics and Infrastructure More Regulated 82/100

How: National-security trade priorities, expanding security concerns, conflict-related disruption, and targeted transport safety rules converge on tighter control of goods, vehicles, routes, and critical systems.

Resolves to: Logistics reliability becomes a strategic asset; transport operators and infrastructure owners face higher compliance costs, operational restrictions, and greater value for redundancy.

Converging trends: Trade Policy Shifts Toward National Security Focus &middot; Security Expands Across Climate, Health, Cyber and Space &middot; More Targeted, Safety-Driven Transport Regulation &middot; Conflict Spillovers and Humanitarian Strain Intensify

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 Energy583
Combines renewable-power development with regulated utility operations and associated grid investment.
banking, capital markets, climate policy, energy policy
ACNAccenture577
Consults large enterprises on digital transformation to meet new regulatory and reporting standards.
banking, defense security, education skills, energy policy
PLTRPalantir Technologies563
Provides AI-driven data analytics for intelligence and hybrid threat detection.
data privacy, defense security, financial regulation, geopolitics
SIEGYSiemens502
Broad international industrial exposure creates sensitivity to fragmented markets, export controls, and disrupted supply chains.
climate policy, defense security, energy policy, geopolitics
CATCaterpillar463
Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs
agriculture food, climate policy, defense security, geopolitics
SAPSAP453
Enterprise software can support domestic productivity, supply-chain visibility, and digitally delivered services exports.
banking, education skills, financial regulation, geopolitics
SBGSYSchneider Electric442
Provides energy management and automation for resilient, decarbonized industrial infrastructure.
climate policy, defense security, energy policy, financial regulation
LMTLockheed Martin439
Primary supplier of missile systems and aircraft used in regional conflicts.
defense security, financial regulation, geopolitics, infrastructure
AIR.PAAirbus382
Supplies military transport aircraft and defense systems to European allies.
climate policy, defense security, energy policy, geopolitics
BA.LBAE Systems364
UK-headquartered defense company exposed to naval, land, electronic-warfare, and combat-aircraft programs.
defense security, geopolitics, industrial policy, infrastructure

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

No evidenced education-skills direction; sector implications remain indeterminate pending better data.

Confidence 96/100

The 11 sources cover the EU, UK and US but focus on regulation, taxation, finance, housing, environment, healthcare, fisheries and safety. None provides material evidence on education policy, skills funding, enrollment, attainment, training demand or labor-market requirements. Geographic breadth and source recency therefore do not establish a directional education-skills trend. The near-term implication is limited co

Named: PSON.L, DUOL, STRA, COUR, CHGG

What would break this: The assessment would be falsified by credible new evidence showing a clear near-term direction, such as enacted education budgets, skills-policy reforms, enrollment changes, employer-training data, or coordinated EU, UK and US initiatives. Company-level outcomes may also diverge from the broader the

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.

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
PSON.LPearson plc96
DUOLDuolingo, Inc.96
STRAStrategic Education, Inc.96
COURCoursera, Inc.96
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

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
CHGGChegg, Inc.96
BKNGBooking Holdings85
GDGeneral Dynamics85
BAJFINANCE.NBajaj Finance85
BAJAJFINBajaj Finance85
LICILife Insurance Corporation of India85
BAJFINANCEBajaj Finance85
DLFDLF Ltd85
IBNICICI Bank85
FOXFFoxconn Technology Group85

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 EngineUP60%

Consensus: BULLISH

Benched

  • SPY Neural Net (1w) — realized hit rate 43.7% is below a coin flip — vote suspended until it recovers

Weekly index projection: -0.04% (80% band -2.98% to +2.49%).

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

Volatility & tail risk

Forecast volatility13.1% ann.
Percentile vs 6 months72%
Variance risk premium+4.6
Daily VaR (5%)-1.54%
Weekly VaR (5%)-3.43%
Weekly expected shortfall-5.66%

Premium in normal range — ⚠ LOW CONFIDENCE: the HAR fit (R²=0.08 in-sample / -0.11 OOS, worst -0.11) 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
Oil & Gas0.781.3hELEVATED
Interest Rates0.770.6hELEVATED
Artificial Intelligence0.750.5hELEVATED
Inflation0.681.5hSUBCRITICAL
Monetary Policy0.681.6hSUBCRITICAL
Crypto & Digital Assets0.660.8hSUBCRITICAL
Cloud & Data Centers0.580.8hSUBCRITICAL
Semiconductors0.571.0hSUBCRITICAL

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

Market feed volume

Scored today467
Yesterday, same hour1,629
Projected close of day1,871
Daily average1,288
Flow ratio vs normal1.26×
Total in corpus200,975

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

Something exciting is coming…

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