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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 & Greed53Neutral
Systemic risk39Calm
Market regimeBullBull 92% · Side 8% · Bear 0%
Join free Updated 13 Oct 2026, 19:00 UTC · next refresh 20:00 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 & Greed53NeutralFearGreed
Systemic risk39CalmCalmStressed
Market regimeBullBull 92% · Side 8% · Bear 0%
Volatility (VIX)15.5Forecast 10.2% ann.
Dollar regimeHOSTILE10Y 5.21% · DXY 102.2

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
META+59.2Communication Services22.10.9494%Bearish AI Headlines: An Artificial Wave of PanicprofitableNear 52w HighEARNINGS DECLINING YoY (-13%)
NVDA+50.3Information Technology14.30.2879%Nvidia (NVDA) or Apple (AAPL): Which Is the Better Bet on Dan Ives’ $4 Trillion AI Wave?convictionprofitablePEGY < 0.75Fwd P/E < 15
GS+50.1Financials12.40.9538%Goldman Sachs Supervised $2.1 Trillion in Wealth Management Assets Last Quarter. It’s a New Record.profitableFwd P/E < 15
UNH+48.8Health Care16.60.9359%Oscar Health Rallies 14.9% in 3 Months: Can the Gains Keep Going?profitable
MSFT+41.0Information Technology23.11.6796%Microsoft Stock Heads for a Record High. How It Suddenly Became an AI Winner.profitableNear 52w High

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
1UNHLONG44.7%-0.14-0.31+0.04Hot sentiment (decayed score 49.0); Accelerating velocity +81.2 (26 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; ⚠ Earnings in 0d — event risk inside hold window
2VLONG44.9%-0.15-0.30+0.19Accelerating velocity +39.6 (18 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields
3GSLONG42.9%-0.23-0.28+0.27Hot sentiment (decayed score 50.3); Accelerating velocity +80.6 (32 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; ⚠ Earnings in 0d — event risk inside hold window
4MSFTLONG44.5%-0.12-0.32-0.15Hot sentiment (decayed score 41.2); ⚠ Near 52w High; ⚠ Hostile macro: rising dollar + rising yields
5NVDALONG41.9%-0.25-0.24+0.38Hot sentiment (decayed score 50.5); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields
6CLONG41.3%-0.30-0.23+0.59High conviction: undervalued + positive sector momentum; Accelerating velocity +44.2 (25 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; ⚠ Earnings in 0d — event risk inside hold window
7METALONG44.7%-0.14-0.31+0.04Hot sentiment (decayed score 59.4); Accelerating velocity +53.1 (33 mentions/12h); ⚠ Near 52w High; EARNINGS DECLINING YoY (-13%); ⚠ Hostile macro: rising dollar + rising yields
8WDAYLONG39.2%-0.38-0.16+0.91High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9

Engine hit rate 40.2% over 701 scored calls (lower bound 36.7%), average net alpha -0.307%. 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 Trial87

    The failed Phase 2 MAXPIRe IPF trial is a material, unpriced-to-fully-priced clinical setback that supports further near-term downside despite potentially leaving other SNDX value drivers intact.

    2026-10-13 13:05
  • 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+81.226Oscar Health Rallies 14.9% in 3 Months: Can the Gains Keep Going?
GS+80.632Goldman Sachs Supervised $2.1 Trillion in Wealth Management Assets Last Quarter. It’s a New Record.
META+53.133Bearish AI Headlines: An Artificial Wave of Panic
C+44.225Big banks show clean credit, but investors fear what comes next
V+39.618Visa Stock Has Caught Wall Street’s Attention – What’s The China Angle?

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

Under pressure

MU-30.3Bearish AI Headlines: An Artificial Wave of Panic
CIFR-21.9Cipher Digital shares slump as data centre developer plans $850 million convertible note sale
ASTS-20.6Why AST SpaceMobile Stock Keeps Falling
SKHY-20.5Bearish AI Headlines: An Artificial Wave of Panic
SNDX-17.7Syndax Pharmaceuticals Stock Plunges. A Failed Trial Deals Blow to Growth Plans.

Most negatively scored names in the same window.

Sector heat

Sector1W trend1D1W1M
Information Technology+34+1,590+4,979
Energy+68+841+2,523
Health Care+82+231+970
Financialsbreakout+128+208+3,266
Industrials+44+166+1,513
Communication Services+32-192+219
Materials-34-200-113
Consumer Staples-48-352-533
Utilities-50-445-3,433
Consumer Discretionary-102-747-2,922
Real Estate-150-1,098-6,465

Industry cuts (1W)

  • Artificial Intelligence+5,496
  • Oil & Gas-1,118
  • Gold & Commodities-919
  • Electric Vehicles-779
  • Biotechnology-726
  • FinTech-694
  • Aerospace & Defense-606
  • Cloud & Data Centers+595

Net sentiment balance per sector across each lookback window.

Theme momentum

ThemeVelocityLevel
Artificial Intelligence+131.0+1,020
Bank Earnings+72.5+82
Data Centers+47.7+175
Digital Payments+23.2+47
Inflation-45.8-132
Financial Stability-48.7-53
China Competition-75.2-81
Semiconductors-229.5-99

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

Structural themes

ThemeSourcesConviction
geopolitics29757
defense security24962
healthcare policy15749
climate policy13443
infrastructure12347
trade policy11755
energy policy10259
transport mobility8948
financial regulation8854
industrial policy7243

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

Energy transition turns flexibility into strategic infrastructure 91/100

How: Accelerating electrification and rising power demand collide with restrained fossil-fuel supply and contested transition politics, making storage, demand flexibility, efficiency, and renewable siting central to energy security.

Resolves to: Grid flexibility and storage become priority investment areas, while near-term energy-price volatility and system vulnerability persist during the transition.

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

Security policy regionalizes industrial supply chains 89/100

How: Deepening allied defense ties and tougher China competition reinforce trade policies centered on national security, encouraging trusted-partner sourcing and domestic strategic production.

Resolves to: Defense and other security-sensitive industries gain policy support, while global supply chains become more fragmented, duplicative, and potentially costly.

Converging trends: Allied defense-industrial ties deepen amid persistent security risks &middot; Trade Policy Shifts Toward National Security Focus &middot; Allied alignment hardens around China competition

Selective cooperation hardens geopolitical blocs 86/100

How: Multipolar competition, broadening security risks, and rising conflict encourage cooperation within aligned groups while weakening confidence in universal, open-ended coordination.

Resolves to: Alliance-based diplomacy and preparedness expand, but crisis management becomes more fragmented and humanitarian, migration, and institutional pressures intensify.

Converging trends: More contested multipolarity with selective cooperation &middot; Security risks are broadening, driving prevention and preparedness &middot; Rising Conflict and Security Cooperation

Energy security and strategic competition reinforce state intervention 82/100

How: Rising electricity needs and fossil-fuel vulnerability coincide with national-security trade policy and allied competition, making energy infrastructure and industrial capacity objects of geopolitical strategy.

Resolves to: Governments are likely to shape energy deployment, supply chains, and industrial investment more directly, favoring resilience over lowest-cost integration.

Converging trends: Electrification Drives Demand for Flexibility and Energy Security &middot; Trade Policy Shifts Toward National Security Focus &middot; Allied alignment hardens around China competition

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
PLTRPalantir Technologies358——
Provides AI-driven data analytics for intelligence and hybrid threat detection.
cybersecurity, defense security, financial regulation, geopolitics
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
ACNAccenture318——
Advises financial institutions on regulatory compliance, controls, cybersecurity, and operational resilience.
banking, defense security, education skills, energy policy
MSFTMicrosoft317+41.0diverging
Cloud infrastructure (Azure) essential for the shift to 24/7 real-time financial operations.
climate policy, education skills, energy policy, financial regulation
TRIThomson Reuters Corp316——
Offers regulatory intelligence, legal, tax, risk, and compliance information used to support supervisory and AML obligations.
banking, cybersecurity, financial regulation, geopolitics
SAPSAP305——
Provides enterprise resource-planning and supply-chain systems that can support pharmaceutical traceability, documentation, and compliance workflows.
banking, defense security, education skills, financial regulation
CATCaterpillar302——
Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs
agriculture food, climate policy, defense security, geopolitics
SIEGYSiemens299——
Industrial automation, electrification, and infrastructure systems are relevant to regional resilience and coordinated industrial modernization.
climate policy, energy policy, geopolitics, industrial policy
LMTLockheed Martin286——
Primary supplier of missile systems and aircraft used in regional conflicts.
defense security, financial regulation, geopolitics, industrial policy
SU.PASchneider Electric274——
Provides electrical equipment, automation, and energy-management systems supporting grid modernization and industrial efficiency.
climate policy, energy policy, financial regulation, 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. 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)UP53%
Markov Regime EngineUP73%

Consensus: BULLISH

Benched

  • Sector NN Breadth — realized hit rate 44.2% is below a coin flip — vote suspended until it recovers

Weekly index projection: +0.56% (80% band -1.68% to +2.43%).

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

Volatility & tail risk

Forecast volatility10.2% ann.
Percentile vs 6 months56%
Variance risk premium+3.8
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 / -0.08 OOS, worst -0.08) 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
Semiconductors0.860.8hELEVATED
Interest Rates0.860.7hELEVATED
Supply Chain0.840.7hELEVATED
Oil & Gas0.840.9hELEVATED
Cybersecurity0.770.8hELEVATED
Biotechnology0.760.7hELEVATED
Crypto & Digital Assets0.701.0hELEVATED
Inflation0.701.0hELEVATED

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

Market feed volume

Scored today2,295
Yesterday, same hour2,455
Projected close of day2,791
Daily average1,358
Flow ratio vs normal1.09×
Total in corpus239,064

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

Something exciting is coming…

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