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.
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.
Regime read: LONG · expected +2.89% ± 5.05% over an optimal 30-day hold · signal/noise 0.57 — inside one standard deviation of noise.
Modal state is Bull (90.9% posterior, +37.2%/yr drift), but the direction is the sign of the probability-weighted drift across all states. Bull contributes +0.1275%/day and dominates. Net +0.1287%/day.
Same hours, earlier readings — the fastest way to see whether today is unusual.
| Ticker | Score | Sector | Fwd P/E | PEGY | 52w pos | What is driving it |
|---|---|---|---|---|---|---|
| NVDA | +214.8 | Information Technology | 14.9 | 0.29 | 93% | Jensen Huang Said Nvidia Now Has "a Lot Greater Visibility" Into Demand, Letting It Forecast a Full Year Ahead for the First Time Ever. Does That Confidence Justify Nvidia's Premium Valuation?profitablePEGY < 0.75Fwd P/E < 15Near 52w High |
| MSFT | +88.6 | Information Technology | 22.4 | 1.65 | 88% | Big Tech Keeps Signing Nuclear Deals With the Same Company. Here's Who It Is and Why That Matters More Than Any Single Deal.profitable |
| CEG | +79.4 | Utilities | 22.5 | 3.49 | 39% | Big Tech Keeps Signing Nuclear Deals With the Same Company. Here's Who It Is and Why That Matters More Than Any Single Deal.profitableExpensive PEGY (>2)Mean Reversion: Euphoria (Short) |
| MRVL | +75.0 | Information Technology | 42.2 | 0.96 | 83% | S&P 500 And Nasdaq 100 Slip From Record Highs Amid Pressure From Soaring Treasury Yields — SPCX, AMD, NVDA, MRVL In FocusprofitableExtended FWD P/E |
| AMD | +69.5 | Information Technology | 41.1 | 0.66 | 97% | S&P 500 And Nasdaq 100 Slip From Record Highs Amid Pressure From Soaring Treasury Yields — SPCX, AMD, NVDA, MRVL In FocusprofitablePEGY < 0.75Near 52w HighExtended FWD P/E |
Score is a decayed sum of scored coverage over the last 24 hours (18-hour half-life). Valuation metrics are point-in-time.
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.
| # | Ticker | Side | P(win) | EV 48h | EV 1w | EV 1m | Why |
|---|---|---|---|---|---|---|---|
| 1 | PENG | LONG | 43.4% | -0.15 | -0.14 | +0.41 | Accelerating velocity +30.4 (9 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 7/9 |
| 2 | LEVI | LONG | 44.8% | -0.11 | -0.23 | +0.21 | Accelerating velocity +25.8 (11 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 7/9 |
| 3 | MSFT | LONG | 44.7% | -0.10 | -0.24 | +0.05 | Hot sentiment (decayed score 89.1); Accelerating velocity +31.0 (35 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields |
| 4 | WOLF | LONG | 43.4% | -0.15 | -0.14 | +0.41 | Accelerating velocity +40.0 (9 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields |
| 5 | MRVL | LONG | 44.6% | -0.09 | -0.25 | -0.14 | Hot sentiment (decayed score 76.4); ⚠ Extended FWD P/E; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9 |
| 6 | NVDA | LONG | 43.8% | -0.13 | -0.18 | +0.24 | Hot sentiment (decayed score 218.5); Accelerating velocity +34.0 (75 mentions/12h); ⚠ Near 52w High; ⚠ Hostile macro: rising dollar + rising yields |
| 7 | AVGO | LONG | 40.7% | -0.19 | -0.06 | +0.55 | High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9 |
| 8 | MU | LONG | 40.7% | -0.19 | -0.06 | +0.55 | High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9 |
Engine hit rate 41.1% over 645 scored calls (lower bound 37.4%), average net alpha -0.279%. Serving: rules.
A relative ordering produced by the model, not a recommendation. Expected values are net of a 0.15% round-trip cost.
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 14:51The 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 18:50The 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 03:18A 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 02:10Discrete events extracted from the last 14 days of coverage, with a model conviction score out of 100.
PL — an estimated 65% probability of outperforming S&P 500 over next 5 trading days.
FTNT — an estimated 63% probability of outperforming S&P 500 over next 5 trading days.
PANW — an estimated 60% probability of outperforming S&P 500 over next 5 trading days.
RCL — an estimated 54% probability of outperforming S&P 500 over next 5 trading days.
RKLB — an estimated 53% probability of outperforming S&P 500 over next 5 trading days.
CRWD — an estimated 51% probability of outperforming S&P 500 over next 5 trading days.
EVH — an estimated 51% probability of outperforming S&P 500 over next 5 trading days.
NOK — an estimated 51% probability of outperforming S&P 500 over next 5 trading days.
TW — an estimated 51% 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 | Velocity | Vol | Story |
|---|---|---|---|
| WOLF | +40.0 | 9 | US Agrees to Loan for Chipmaker That Went Bankrupt Last Year |
| NVDA | +31.6 | 74 | Jensen Huang Said Nvidia Now Has "a Lot Greater Visibility" Into Demand, Letting It Forecast a Full Year Ahead for the First Time Ever. Does That Confidence Justify Nvidia's Premium Valuation? |
| MSFT | +31.0 | 33 | Big Tech Keeps Signing Nuclear Deals With the Same Company. Here's Who It Is and Why That Matters More Than Any Single Deal. |
| PENG | +30.4 | 9 | Is Penguin Solutions (PENG) Undervalued After Its Earnings Beat And 2027 Outlook Raise? |
| LEVI | +25.8 | 11 | How To Earn $500 A Month From Levi Strauss Stock Ahead Of Q3 Earnings |
Change in scored coverage over the last 12 hours versus the prior 12.
| BULL | -52.3 | WeBull Stock Sinks as Congress Flags National Security Risk |
| NKE | -26.8 | Lululemon puts Nike veteran in charge of product as CEO O’Neill looks to right ship |
| CAT | -17.6 | Caterpillar (CAT) Falls More Steeply Than Broader Market: What Investors Need to Know |
| FCEL | -17.2 | FCEL Stock Plummets as FuelCell's CFO Steps Down |
| MCD | -17.1 | What Is McDonald's (MCD) Signaling With Its Faster Dividend And New US Chief? |
Most negatively scored names in the same window.
| Sector | 1W trend | 1D | 1W | 1M |
|---|---|---|---|---|
| Information Technology | +603 | +2,720 | +4,718 | |
| Energy | +181 | +423 | +3,300 | |
| Industrials | +6 | +377 | +1,000 | |
| Health Care | +10 | +71 | +760 | |
| Financialsbearish reversal | -29 | +19 | +3,729 | |
| Communication Servicesbearish reversal | -25 | -66 | +401 | |
| Materialsbearish reversal | -79 | -267 | +76 | |
| Consumer Staples | -91 | -380 | -438 | |
| Utilities | -129 | -646 | -3,634 | |
| Consumer Discretionary | -164 | -741 | -3,351 | |
| Real Estate | -284 | -1,509 | -6,563 |
Net sentiment balance per sector across each lookback window.
| Theme | Velocity | Level | |
|---|---|---|---|
| Artificial Intelligence | +700.7 | +1,561 | |
| Semiconductors | +133.5 | +286 | |
| Data Centers | +126.5 | +239 | |
| Cybersecurity | +59.8 | +108 | |
| Market Sentiment | -40.5 | -38 | |
| Monetary Policy | -47.0 | -48 | |
| Supply Chain | -68.7 | -112 | |
| Interest Rates | -263.3 | -546 |
Velocity is the rate of change in theme coverage; level is its net sentiment balance.
| Theme | Sources | Conviction | |
|---|---|---|---|
| geopolitics | 297 | 61 | |
| defense security | 242 | 59 | |
| healthcare policy | 208 | 51 | |
| infrastructure | 128 | 49 | |
| pharma biotech | 118 | 51 | |
| trade policy | 112 | 56 | |
| energy policy | 99 | 60 | |
| climate policy | 100 | 39 | |
| financial regulation | 90 | 55 | |
| transport mobility | 78 | 49 |
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.
Energy security locks in a volatile, two-track transition 91/100
How: Oil supply restraint, geopolitical insecurity, and rising electricity demand keep fossil fuels strategically important even as energy-security pressures accelerate solar expansion and diversification.
Resolves to: Energy costs and inflation remain vulnerable to shocks, while capital flows increasingly favor renewables, grids, storage, and technologies that reduce exposure to oil volatility.
Conflict prevention becomes harder as risks become cross-domain 86/100
How: Wars, displacement, climate and health concerns, nuclear risks, and emerging military technologies overlap, while prevention institutions face strained arms-control arrangements and geopolitical rivalry.
Resolves to: Governments will prioritize preparedness and resilience, but crisis-management systems may be overwhelmed by interactions across humanitarian, security, and economic domains.
Strategic competition fragments finance, trade, and supply chains 84/100
How: Managed engagement and selective cooperation coexist with multipolar rivalry, while more active financial oversight expands sanctions, supervision, and state influence over cross-border capital.
Resolves to: Businesses and investors face higher compliance costs, duplicated operating systems, and a greater premium on geopolitical alignment and jurisdictional resilience.
Security pressures accelerate commercial space’s strategic role 80/100
How: Broadening security risks and military-technology competition coincide with streamlined commercial launch and reentry regulation, lowering barriers to private space activity.
Resolves to: Commercial space capacity may expand faster and become more central to defense, surveillance, and strategic competition, increasing both investment opportunity and dual-use scrutiny.
Selective cooperation concentrates around shared system vulnerabilities 78/100
How: Rival powers continue dialogue and multilateral cooperation where energy security, AI governance, conservation, or conflict prevention create mutual exposure, even as broader strategic competition intensifies.
Resolves to: International coordination will persist but become narrower and transactional, making issue-specific agreements more valuable while reducing confidence in universal institutions.
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.
| Ticker | Company | Weight | Short-term | Read |
|---|---|---|---|---|
| NEE | NextEra Energy | 348 | — | — |
| Large U.S. utility and renewable-power developer with exposure to wind, solar, storage, and grid investment. agriculture food, banking, climate policy, energy policy | ||||
| ACN | Accenture | 329 | — | — |
| Advises financial institutions on regulatory compliance, controls, cybersecurity, and operational resilience. banking, defense security, education skills, energy policy | ||||
| PLTR | Palantir Technologies | 318 | — | — |
| Provides AI-driven data analytics for intelligence and hybrid threat detection. defense security, financial regulation, geopolitics, immigration | ||||
| SIEGY | Siemens | 313 | — | — |
| Industrial automation, electrification, and infrastructure systems are relevant to regional resilience and coordinated industrial modernization. climate policy, energy policy, geopolitics, industrial policy | ||||
| CAT | Caterpillar | 302 | -17.6 | aligned |
| Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs agriculture food, climate policy, defense security, geopolitics | ||||
| LMT | Lockheed Martin | 291 | — | — |
| Primary supplier of missile systems and aircraft used in regional conflicts. defense security, financial regulation, geopolitics, industrial policy | ||||
| SU.PA | Schneider Electric | 284 | — | — |
| Provides electrical equipment, automation, and energy-management systems supporting grid modernization and industrial efficiency. climate policy, energy policy, financial regulation, infrastructure | ||||
| AIR.PA | Airbus | 278 | — | — |
| Supplies military transport aircraft and defense systems to European allies. climate policy, defense security, energy policy, geopolitics | ||||
| MSFT | Microsoft | 274 | +88.6 | diverging |
| Cloud infrastructure (Azure) essential for the shift to 24/7 real-time financial operations. climate policy, education skills, energy policy, financial regulation | ||||
| TRI | Thomson Reuters Corp | 268 | — | — |
| Provides legal, tax, risk, and compliance information and workflow tools used by regulated organizations. 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.
Geopolitical volatility and AI asymmetric threats drive defense and cybersecurity spending
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
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
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
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
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
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
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
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.
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
| Ticker | Company | Conf | Live sentiment |
|---|---|---|---|
| PLTR | Palantir Technologies | 85 | |
| CRWD | CrowdStrike | 85 | |
| RTX | RTX Corporation | 85 | |
| AVAV | AeroVironment | 85 | |
| RHM.DE | Rheinmetall | 85 | |
| NOC | Northrop Grumman | 85 | |
| AIR.PA | Airbus | 85 | |
| TCS.NS | TCS | 85 | |
| INFY | Infosys | 85 | |
| PYPL | PayPal Holdings Inc. | 85 | |
| COIN | Coinbase Global Inc. | 85 | |
| FISV | Fiserv Inc. | 85 | |
| MA | Mastercard Incorporated | 85 | |
| ACM | AECOM | 85 | |
| AI | C3.ai | 85 | |
| CAT | Caterpillar Inc | 85 | diverging -17.6 |
| TTE | TotalEnergies SE | 85 | |
| UNP | Union Pacific Corporation | 85 | |
| CBA.AX | Commonwealth Bank of Australia | 85 | |
| WBC.AX | Westpac Banking Corporation | 85 | |
| BHP.AX | BHP Group | 85 | |
| XOM | Exxon Mobil Corporation | 82 | |
| CVX | Chevron Corporation | 82 | |
| SLB | SLB | 82 |
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)
| Ticker | Company | Conf | Live sentiment |
|---|---|---|---|
| BKNG | Booking Holdings | 85 | |
| GD | General Dynamics | 85 | |
| IBN | ICICI Bank | 85 | |
| DAL | Delta Air Lines, Inc. | 82 | |
| FDX | FedEx Corporation | 82 |
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 | Vote | Trust |
|---|---|---|
| Markov Regime Engine | UP | 70% |
Consensus: BULLISH
Weekly index projection: +0.80% (80% band -2.59% to +2.51%).
Votes are weighted by each model's realised hit rate and suspended when it falls below its baseline.
| Forecast volatility | 11.7% ann. |
| Percentile vs 6 months | 66% |
| Variance risk premium | +3.5 |
| 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=0.07 in-sample / -0.21 OOS, worst -0.21) 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.
| Theme | Branching | Half-life | State |
|---|---|---|---|
| Interest Rates | 0.85 | 0.9h | ELEVATED |
| Supply Chain | 0.83 | 0.7h | ELEVATED |
| Cloud & Data Centers | 0.82 | 0.6h | ELEVATED |
| Oil & Gas | 0.81 | 1.2h | ELEVATED |
| Cybersecurity | 0.81 | 1.0h | ELEVATED |
| Biotechnology | 0.71 | 1.0h | ELEVATED |
| Crypto & Digital Assets | 0.70 | 1.2h | ELEVATED |
| Aerospace & Defense | 0.69 | 0.8h | SUBCRITICAL |
Self-excitation of coverage per theme. A branching ratio near 1 means each story is spawning roughly one more.
| Scored today | 107 |
| Yesterday, same hour | 2,673 |
| Projected close of day | 3,406 |
| Daily average | 1,339 |
| Flow ratio vs normal | 1.10× |
| Total in corpus | 227,670 |
Volume of scored market coverage. Ratios below 1 mean a quiet tape.
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