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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 & Greed52Neutral
Systemic risk42Calm
Market regimeBullBull 90% · Side 10% · Bear 0%
Join free Updated 12 Oct 2026, 06:01 UTC · next refresh 07:01 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 & Greed52NeutralFearGreed
Systemic risk42CalmCalmStressed
Market regimeBullBull 90% · Side 10% · Bear 0%
Volatility (VIX)14.8Forecast 11.7% ann.
Dollar regimeHOSTILE10Y 5.24% · DXY 102.2

Regime read: LONG · expected +2.84% ± 5.08% over an optimal 30-day hold · signal/noise 0.56 — inside one standard deviation of noise.

Modal state is Bull (90.3% posterior, +37.1%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1263%/day and dominates. Net +0.1268%/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+40.7Information Technology14.40.2882%Who is Decart? From AI startup to $7B acquisition targetconvictionprofitablePEGY < 0.75Fwd P/E < 15
AMZN+20.4Consumer Discretionary25.11.4873%AMZN Stock Inches Up Overnight: Amazon Reportedly Nears $7B Deal For Decart AI After Anthropic Walks Awayprofitable
GOOGL+18.0Communication Services23.11.2066%Who is Decart? From AI startup to $7B acquisition targetprofitable
MRVL+17.3Information Technology37.80.7579%3 Tech Stocks Wall Street Upgraded Last Week, and the One I'd Buy FirstprofitableExtended FWD P/E
GOOG+17.1Communication Services22.91.1965%Who is Decart? From AI startup to $7B acquisition targetprofitable

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
1AMZNLONG44.9%-0.11-0.24+0.02Hot sentiment (decayed score 20.5); Accelerating velocity +11.8 (8 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 7/9
2AAPLLONG44.9%-0.12-0.23+0.19Accelerating velocity +10.8 (3 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9
3GOOGLONG44.9%-0.11-0.24+0.02Hot sentiment (decayed score 17.2); Accelerating velocity +7.6 (6 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
4GOOGLLONG44.8%-0.09-0.25-0.18Hot sentiment (decayed score 18.2); ⚠ Hostile macro: rising dollar + rising yields
5MRVLLONG44.8%-0.09-0.25-0.18Hot sentiment (decayed score 17.4); ⚠ Extended FWD P/E; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9
6RXOLONG44.9%-0.12-0.23+0.19Accelerating velocity +9.0 (3 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
7ASTSLONG42.3%-0.23-0.17+0.48Accelerating velocity +14.0 (2 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
8NVDALONG42.1%-0.21-0.15+0.37Hot sentiment (decayed score 41.0); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields

Engine hit rate 40.2% over 689 scored calls (lower bound 36.6%), average net alpha -0.312%. 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

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

Interesting Movement

  • PL▲ more likely to outperform65% chance

    Planet Labs PBC — an estimated 65% 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. · More contested multipolarity with selective cooperation

  • 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

  • RKLB▲ more likely to outperform53% chance

    Rocket Lab USA, Inc. — an estimated 53% probability of outperforming S&P 500 over next 5 trading days. · Commercial space licensing is moving toward streamlined regulation

  • CRWD▲ more likely to outperform51% chance

    CrowdStrike Holdings, Inc. — an estimated 51% probability of outperforming S&P 500 over next 5 trading days. · Security risks are broadening, driving prevention and preparedness

  • EVH▲ more likely to outperform51% chance

    Evolent Health, Inc. — an estimated 51% 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

  • TW▲ more likely to outperform51% chance

    Tradeweb Markets Inc. — an estimated 51% probability of outperforming S&P 500 over next 5 trading days. · Sovereign debt markets move toward scheduled, transparent issuance

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
ASTS+14.02ASTS Stock Rises Overnight: BlueBirds 14-16 Reach Florida, FCC Clears SDA-Backed 900-MHz Test
AMZN+11.88AMZN Stock Inches Up Overnight: Amazon Reportedly Nears $7B Deal For Decart AI After Anthropic Walks Away
AAPL+10.83Apple (AAPL) Resets With New CEO, Podcast Deal And A Fresh Phone Threat
RXO+9.03C.H. Robinson Worldwide (CHRW) Tests Its Valuation After The RXO Deal
GOOG+7.65Who is Decart? From AI startup to $7B acquisition target

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

Under pressure

DAL-8.5Why Delta Air Lines Stock And Airline Peers Could Benefit From Lower Fuel Costs
JOBY-7.7Why Did TMUS, CMCSA, JOBY Stocks Slump To 52-Week Lows Last Week?
NKE-7.4Nike has a long road ahead to win customers back
KHC-5.1Greg Abel Has 12.5% of Berkshire Hathaway's Portfolio in 3 Consumer Stocks. Here's My Top Pick to Buy Now.
PEP-4.6PepsiCo Just Cut its Earnings Forecast. Is the Stock Still Worth Buying?

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Information Technology+74+2,236+4,879
Energy+4+643+2,430
Industrials+38+236+1,464
Financials+28+98+3,300
Health Care+12+90+853
Communication Servicesbearish reversal-34-234+237
Materialsbullish reversal+6-239-44
Consumer Staples-12-403-453
Utilities-14-489-3,454
Consumer Discretionary-28-692-2,823
Real Estate-72-1,247-6,387

Industry cuts (1W)

  • Artificial Intelligence+5,614
  • Oil & Gas-1,150
  • Gold & Commodities-982
  • Electric Vehicles-840
  • Biotechnology-802
  • FinTech-774
  • Cybersecurity-622
  • Aerospace & Defense-620

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Interest Rates+207.2-146
Geopolitical Risk+50.0-35
Supply Chain+38.7-11
Market Volatility+33.3+1
Cybersecurity-64.5+4
Data Centers-118.0+32
Semiconductors-128.8+33
Artificial Intelligence-782.3+263

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

Structural themes

ThemeSourcesConviction
geopolitics28258
defense security23863
healthcare policy17549
climate policy12644
infrastructure11748
trade policy11355
energy policy11062
financial regulation9555
transport mobility9048
pharma biotech7449

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

Conflict turns allied cooperation into a durable defense-industrial cycle 88/100

How: Persistent conflicts increase urgent procurement needs, while allied treaties, co-development, and preparedness efforts coordinate demand across countries and reinforce one another.

Resolves to: Defense spending and industrial capacity become structurally more durable, benefiting interoperable suppliers while increasing competition for production capacity and public budgets.

Converging trends: Allied defense-industrial ties deepen amid persistent security risks &middot; Worsening conflicts and stronger external security responses &middot; Security risks are broadening, driving prevention and preparedness

Security-driven trade creates a more expensive, selectively integrated global economy 87/100

How: China competition and multipolarity push governments toward national self-reliance and protectionism, while allied coordination preserves cooperation within trusted strategic networks.

Resolves to: Supply chains increasingly bifurcate by security alignment, raising duplication and compliance costs while favoring firms positioned inside allied industrial ecosystems.

Converging trends: Trade Policy Shifts Toward National Security Focus &middot; Allied alignment hardens around China competition &middot; More contested multipolarity with selective cooperation

Electrification meets constrained oil, making flexibility an energy-security premium 86/100

How: Rising electricity dependence increases the value of flexible power systems just as oil restraint, conflict, and restricted diesel supply keep energy costs and security risks elevated.

Resolves to: Storage, diversified generation, efficiency, and demand-management assets gain strategic value; energy volatility makes the transition more expensive and politically contested.

Converging trends: Electrification Drives Demand for Flexibility and Energy Security &middot; Oil supply restraint and prices remain elevated amid contested transition &middot; Oil supply remains constrained despite clean-energy transition pressure

Overlapping risks shift security from crisis response toward permanent preparedness 79/100

How: Armed conflict, displacement, climate, health, nuclear, cyber, and hybrid risks compound, prompting governments and institutions to combine prevention, monitoring, modernization, and resilience measures.

Resolves to: Security budgets and institutional capacity increasingly prioritize continuous preparedness across domains, even as strained cooperation and arms-control constraints limit effectiveness.

Converging trends: Security risks are broadening, driving prevention and preparedness &middot; Rising Conflict and Security Cooperation &middot; Worsening conflicts and stronger external security responses

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 Energy350
Combines regulated utility operations with substantial renewable-generation and storage development.
agriculture food, banking, climate policy, energy policy
ACNAccenture320
Advises financial institutions on regulatory compliance, controls, cybersecurity, and operational resilience.
banking, defense security, education skills, energy policy
PLTRPalantir Technologies311
Provides AI-driven data analytics for intelligence and hybrid threat detection.
defense security, financial regulation, geopolitics, immigration
CATCaterpillar304
Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs
agriculture food, climate policy, defense security, geopolitics
SIEGYSiemens303
Industrial automation, electrification, and infrastructure systems are relevant to regional resilience and coordinated industrial modernization.
climate policy, energy policy, geopolitics, industrial policy
LMTLockheed Martin288
Primary supplier of missile systems and aircraft used in regional conflicts.
defense security, financial regulation, geopolitics, industrial policy
MSFTMicrosoft284
Cloud infrastructure (Azure) essential for the shift to 24/7 real-time financial operations.
climate policy, education skills, energy policy, financial regulation
SU.PASchneider Electric277
Provides electrical equipment, automation, and energy-management systems supporting grid modernization and industrial efficiency.
climate policy, energy policy, financial regulation, infrastructure
AIR.PAAirbus268
Supplies military transport aircraft and defense systems to European allies.
climate policy, defense security, energy policy, geopolitics
TRIThomson Reuters Corp267
Offers regulatory intelligence, legal, tax, risk, and compliance information used to support supervisory and AML obligations.
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.

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
BAESYBAE Systems plc82
RNMBYRheinmetall AG82

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

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
SPY Neural Net (1w)DOWN52%
Markov Regime EngineUP71%

Consensus: BULLISH

Weekly index projection: -0.04% (80% band -1.08% to +1.55%).

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

Volatility & tail risk

Forecast volatility11.7% ann.
Percentile vs 6 months67%
Variance risk premium+3.2
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 Rates0.870.8hELEVATED
Oil & Gas0.860.8hELEVATED
Semiconductors0.850.8hELEVATED
Cloud & Data Centers0.840.5hELEVATED
Supply Chain0.840.7hELEVATED
Cybersecurity0.790.9hELEVATED
Biotechnology0.740.9hELEVATED
Aerospace & Defense0.740.9hELEVATED

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

Market feed volume

Scored today243
Yesterday, same hour721
Projected close of day2,285
Daily average1,348
Flow ratio vs normal0.35×
Total in corpus234,557

Coverage volume is unusually low; treat every reading below as provisional.

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

Something exciting is coming…

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