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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 risk40Calm
Market regimeBullBull 92% · Side 8% · Bear 0%
Join free Updated 13 Oct 2026, 13:00 UTC · next refresh 14:00 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 & Greed52NeutralFearGreed
Systemic risk40CalmCalmStressed
Market regimeBullBull 92% · Side 8% · Bear 0%
Volatility (VIX)15.3Forecast 10.4% ann.
Dollar regimeHOSTILE10Y 5.24% · DXY 102.4

Regime read: LONG · expected +2.85% ± 5.06% over an optimal 30-day hold · signal/noise 0.56 — inside one standard deviation of noise.

Modal state is Bull (92.0% posterior, +36.9%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1279%/day and dominates. Net +0.1283%/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+38.5Information Technology14.20.2878%Should Super Micro Computer (SMCI) Investors Worry About Export Risks And AI Progress?convictionprofitablePEGY < 0.75Fwd P/E < 15
MSFT+38.5Information Technology22.91.6794%Advancing Access to Lung Cancer Care Through Artificial Intelligence InnovationprofitableNear 52w High
META+35.2Communication Services21.50.9486%What Makes Meta Platforms (META) an Attractive Opportunity?profitableEARNINGS DECLINING YoY (-13%)
UNH+31.1Health Care16.70.9360%Stock Market Today: Futures Mixed on Busy Earnings Day; Dow Lifted by UnitedHealth; Memory Stocks Weigh on Nasdaqprofitable
TSM+24.7Information Technology19.90.8480%Intel Is Down 20% From Its September High. Will $100 Hold?profitableEV/EBITDA < 10

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
1TSMLONG44.5%-0.12-0.32-0.15Hot sentiment (decayed score 26.3); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9; ⚠ Earnings in 2d — event risk inside hold window
2UNHLONG44.7%-0.14-0.31+0.04Hot sentiment (decayed score 31.3); Accelerating velocity +45.8 (16 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; ⚠ Earnings in 0d — event risk inside hold window
3VLONG44.9%-0.15-0.30+0.19Accelerating velocity +23.0 (10 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
4JNJLONG44.9%-0.15-0.30+0.19Accelerating velocity +16.6 (13 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; ⚠ Earnings in 0d — event risk inside hold window
5METALONG44.5%-0.12-0.32-0.15Hot sentiment (decayed score 35.5); ⚠ EARNINGS DECLINING YoY (-13%); ⚠ Hostile macro: rising dollar + rising yields
6MSFTLONG44.5%-0.12-0.32-0.15Hot sentiment (decayed score 34.6); ⚠ Near 52w High; ⚠ Hostile macro: rising dollar + rising yields
7NVDALONG41.9%-0.25-0.24+0.38Hot sentiment (decayed score 38.8); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields
8GSLONG42.2%-0.27-0.26+0.46Accelerating velocity +28.6 (9 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; ⚠ Earnings in 0d — event risk inside hold window

Engine hit rate 40.3% over 699 scored calls (lower bound 36.8%), average net alpha -0.306%. 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

  • SNDXBearishClinical Trial82

    The Phase 2 axatilimab failure is a material, adverse clinical catalyst likely to drive further downside as investors reassess pipeline value, despite uncertainty over how much of the shock is already priced in.

    2026-10-12 20:50
  • 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
UNH+45.816Stock Market Today: Futures Mixed on Busy Earnings Day; Dow Lifted by UnitedHealth; Memory Stocks Weigh on Nasdaq
GS+31.610Goldman Sachs (GS) Beats Q3 Earnings and Revenue Estimates
V+23.010Why is Visa stock surging today?
C+19.88Citi seeks to accelerate regulatory remediation efforts
JNJ+16.613Johnson & Johnson (JNJ) Q3 Earnings Surpass Estimates

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

Under pressure

SNDX-18.2Why is Syndax Pharmaceuticals stock sliding today?
ADBE-15.1Adobe slips on back of HSBC downgrade
MU-13.8Jim Cramer Calls the Chip Trade Broken, but Semiconductors Are Still Up 62% in 2026
S-13.3SentinelOne announces proposed private placement of $1.25B of convertible notes
SNDK-13.0Jim Cramer Calls the Chip Trade Broken, but Semiconductors Are Still Up 62% in 2026

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Information Technology+76+1,777+4,900
Energy+117+764+2,505
Health Care+109+206+958
Industrials+41+197+1,500
Financials+26+107+3,210
Communication Services+37-184+234
Materials-20-231-78
Consumer Staples-50-373-506
Utilities-50-388-3,408
Consumer Discretionary-147-780-2,916
Real Estate-139-1,094-6,397

Industry cuts (1W)

  • Artificial Intelligence+5,619
  • Oil & Gas-1,113
  • Gold & Commodities-964
  • Electric Vehicles-801
  • Biotechnology-781
  • FinTech-754
  • Cybersecurity-618
  • Aerospace & Defense-604

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Artificial Intelligence+108.0+1,021
Bank Earnings+33.2+42
Earnings Growth+32.3+51
Oil Prices+31.3-1
Nuclear Energy-28.2+11
Inflation-58.3-140
China Competition-63.3-67
Semiconductors-121.2+17

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

Structural themes

ThemeSourcesConviction
geopolitics29657
defense security24764
healthcare policy16649
climate policy13243
trade policy12155
infrastructure11947
energy policy10959
transport mobility9148
financial regulation8954
industrial policy7045

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

Power-system flexibility becomes the transition’s binding constraint 91/100

How: Accelerating electrification raises electricity demand just as oil restraint, gas vulnerability, and contested fossil-fuel policy increase the premium on reliable supply. Storage, demand response, grid planning, and strategically located renewables therefore become essential complements rather than optional additions.

Resolves to: Investment shifts toward grids, storage, flexibility software, efficiency, and resilient generation; inadequate deployment could create price spikes, industrial bottlenecks, and slower electrification.

Converging trends: Electrification, Storage and Flexibility Become Energy-Security Priorities &middot; Oil supply restraint and prices remain elevated amid contested transition &middot; Electrification Drives Demand for Flexibility and Energy Security &middot; Rising Demand Drives Energy Security Measures and Solar Expansion

Security-driven trade fragmentation redirects industrial investment 88/100

How: Multipolar rivalry and national-security-focused trade policies collide with deeper strategic and economic engagement, encouraging states to preserve cross-border partnerships while selectively restricting sensitive goods, technologies, and supply chains.

Resolves to: Globalization becomes more regional and politically conditional: allied and partner corridors gain investment, while firms face duplicated capacity, higher compliance costs, and reduced efficiency.

Converging trends: More contested multipolarity with selective cooperation &middot; Trade Policy Shifts Toward National Security Focus &middot; Deeper Strategic and Economic Engagement Across Regions

Defense cooperation accelerates bloc-based industrial policy 87/100

How: Persistent conflict and broadening security risks strengthen allied defense-industrial ties, while trade policy increasingly prioritizes national security and domestic production. Defense procurement consequently becomes a vehicle for industrial integration, technology controls, and strategic autonomy.

Resolves to: Defense, aerospace, cyber, and dual-use technology companies gain durable demand and state support, but suppliers outside preferred blocs face market-access and technology-transfer constraints.

Converging trends: Allied defense-industrial ties deepen amid persistent security risks &middot; Security risks are broadening, driving prevention and preparedness &middot; Rising Conflict and Security Cooperation &middot; Trade Policy Shifts Toward National Security Focus

Energy insecurity and geopolitical competition reinforce strategic diversification 84/100

How: Oil supply restraint, Middle East-related price pressures, rising electricity demand, and contested multipolarity make dependence on concentrated fuel sources increasingly risky. Governments respond by combining solar expansion, electrification, storage, reserves, and diversified diplomatic partnerships rather than relying on a single transition pathway.

Resolves to: Energy security becomes a central criterion for infrastructure and foreign-policy decisions, benefiting diversified power portfolios and flexible assets while increasing volatility for exposed importers and fossil-fuel users.

Converging trends: Oil supply restraint and prices remain elevated amid contested transition &middot; Rising Demand Drives Energy Security Measures and Solar Expansion &middot; More contested multipolarity with selective cooperation &middot; Deeper Strategic and Economic Engagement Across Regions

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 Energy344——
Combines utility-scale renewable generation with electricity-network and storage exposure, aligning with power-system electrification.
agriculture food, banking, climate policy, energy policy
ACNAccenture319——
Advises financial institutions on regulatory compliance, controls, cybersecurity, and operational resilience.
banking, defense security, education skills, energy policy
PLTRPalantir Technologies308——
Provides AI-driven data analytics for intelligence and hybrid threat detection.
defense security, financial regulation, geopolitics, immigration
CATCaterpillar306——
Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs
agriculture food, climate policy, defense security, geopolitics
SIEGYSiemens300——
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
MSFTMicrosoft278+38.5diverging
Cloud infrastructure (Azure) essential for the shift to 24/7 real-time financial operations.
climate policy, education skills, energy policy, financial regulation
SU.PASchneider Electric274——
Provides electrical equipment, automation, and energy-management systems supporting grid modernization and industrial efficiency.
climate policy, energy policy, financial regulation, infrastructure
AIR.PAAirbus265——
Supplies military transport aircraft and defense systems to European allies.
climate policy, defense security, energy policy, geopolitics
TRIThomson Reuters Corp265——
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. 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
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)UP54%
Markov Regime EngineUP72%

Consensus: BULLISH

Weekly index projection: +0.27% (80% band -1.17% to +1.89%).

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

Volatility & tail risk

Forecast volatility10.4% ann.
Percentile vs 6 months57%
Variance risk premium+3.7
Daily VaR (5%)-1.53%
Weekly VaR (5%)-3.43%
Weekly expected shortfall-5.64%

Premium in normal range — ⚠ LOW CONFIDENCE: the HAR fit (R²=0.07 in-sample / -0.12 OOS, worst -0.12) 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 Rates0.850.7hELEVATED
Oil & Gas0.840.8hELEVATED
Supply Chain0.820.6hELEVATED
Biotechnology0.770.7hELEVATED
Cybersecurity0.770.7hELEVATED
Crypto & Digital Assets0.691.0hSUBCRITICAL
Aerospace & Defense0.690.9hSUBCRITICAL
Geopolitical Risk0.630.9hSUBCRITICAL

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

Market feed volume

Scored today1,101
Yesterday, same hour2,455
Projected close of day2,706
Daily average1,359
Flow ratio vs normal1.12×
Total in corpus237,870

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

Something exciting is coming…

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