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 +2.85% ± 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.
| Ticker | Score | Sector | Fwd P/E | PEGY | 52w pos | What is driving it |
|---|---|---|---|---|---|---|
| NVDA | +60.4 | Information Technology | 14.2 | 0.28 | 78% | Why Palo Alto Networks (PANW) Stock Is Falling TodayconvictionprofitablePEGY < 0.75Fwd P/E < 15 |
| MSFT | +47.6 | Information Technology | 22.9 | 1.67 | 94% | Microsoft Sues JLL For Protection Against Lawsuit At NYC Office ProjectprofitableNear 52w High |
| META | +38.9 | Communication Services | 21.5 | 0.94 | 86% | Why Meta (META) Stock Is Up TodayprofitableEARNINGS DECLINING YoY (-13%) |
| CRM | +29.9 | Information Technology | 14.6 | 0.80 | 71% | Salesforce (CRM) Stock Is Up, What You Need To KnowprofitableFwd P/E < 15 |
| TSM | +28.1 | Information Technology | 20.3 | 0.84 | 80% | TSMC Revenue Growth Accelerated Faster Than Expected Last Quarter. Here's Why It's My Top AI Chip Stock to Buy.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.
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 | CRM | LONG | 44.5% | -0.12 | -0.32 | -0.15 | Hot sentiment (decayed score 30.0); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 7/9 |
| 2 | TSM | LONG | 42.9% | -0.23 | -0.28 | +0.27 | Hot sentiment (decayed score 28.2); Accelerating velocity +26.8 (13 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 9/9; ⚠ Earnings in 3d — event risk inside hold window |
| 3 | EBAY | LONG | 44.9% | -0.15 | -0.30 | +0.19 | Accelerating velocity +39.0 (14 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields |
| 4 | NVDA | LONG | 42.1% | -0.26 | -0.25 | +0.42 | Hot sentiment (decayed score 60.6); Valuation corroborated (PEGY/fwd-PE/EV checks); High conviction: undervalued + positive sector momentum; Accelerating velocity +28.3 (54 mentions/12h); ⚠ Hostile macro: rising dollar + rising yields |
| 5 | MSFT | LONG | 44.7% | -0.14 | -0.31 | +0.04 | Hot sentiment (decayed score 47.8); Accelerating velocity +49.6 (33 mentions/12h); ⚠ Near 52w High; ⚠ Hostile macro: rising dollar + rising yields |
| 6 | META | LONG | 44.7% | -0.14 | -0.31 | +0.04 | Hot sentiment (decayed score 39.0); Accelerating velocity +55.4 (29 mentions/12h); ⚠ EARNINGS DECLINING YoY (-13%); ⚠ Hostile macro: rising dollar + rising yields |
| 7 | FSLR | LONG | 39.2% | -0.38 | -0.16 | +0.91 | High conviction: undervalued + positive sector momentum; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9 |
| 8 | SNDK | LONG | 39.2% | -0.38 | -0.16 | +0.91 | Despair reversion: sentiment -9 but undervalued; ⚠ Hostile macro: rising dollar + rising yields; Quality: F-score 8/9 |
Engine hit rate 40.4% over 695 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.
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 20:50The 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 18:50Discrete events extracted from the last 14 days of coverage, with a model conviction score out of 100.
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
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
Palo Alto Networks, Inc. — an estimated 60% probability of outperforming S&P 500 over next 5 trading days. · More contested multipolarity with selective cooperation
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
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
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
Evolent Health, Inc. — an estimated 51% probability of outperforming S&P 500 over next 5 trading days. · Toward Greater Oversight of Healthcare Institutions
Nokia — an estimated 51% probability of outperforming S&P 500 over next 5 trading days. · Multifaceted Government Intervention in Technology and Digital Safety
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 | Velocity | Vol | Story |
|---|---|---|---|
| META | +55.4 | 29 | Why Meta (META) Stock Is Up Today |
| MSFT | +49.6 | 33 | Microsoft Sues JLL For Protection Against Lawsuit At NYC Office Project |
| EBAY | +39.0 | 14 | EBAY Stock Jumps as Morgan Stanley Names eBay a 'Top Pick’ |
| NVDA | +28.3 | 54 | Why Palo Alto Networks (PANW) Stock Is Falling Today |
| TSM | +26.8 | 13 | TSMC Revenue Growth Accelerated Faster Than Expected Last Quarter. Here's Why It's My Top AI Chip Stock to Buy. |
Change in scored coverage over the last 12 hours versus the prior 12.
| ADBE | -12.9 | Satya Nadella went from H-1B worker to Microsoft CEO. The Trump administration just shut that path for his employees |
| LITE | -10.7 | Stock Market Today, Oct. 12: Dow Gains as Memory Stocks Weigh on Nasdaq |
| DAL | -10.4 | Delta Air Lines (DAL) Reports Record Revenue but Cuts Earnings Guidance. Can Profits Recover? |
| APLD | -7.6 | What Could Derail Applied Digital Stock? |
| MNDY | -7.4 | Why monday.com (MNDY) Shares Are Sliding Today |
Most negatively scored names in the same window.
| Sector | 1W trend | 1D | 1W | 1M |
|---|---|---|---|---|
| Information Technology | +232 | +2,080 | +5,042 | |
| Energy | +102 | +716 | +2,495 | |
| Industrials | +39 | +178 | +1,469 | |
| Health Care | +75 | +154 | +906 | |
| Financials | +45 | +88 | +3,293 | |
| Communication Servicesbearish reversal | -9 | -210 | +216 | |
| Materials | -36 | -254 | -91 | |
| Consumer Staples | -66 | -392 | -521 | |
| Utilities | -71 | -412 | -3,455 | |
| Consumer Discretionary | -140 | -780 | -2,912 | |
| Real Estate | -167 | -1,166 | -6,441 |
Net sentiment balance per sector across each lookback window.
| Theme | Velocity | Level | |
|---|---|---|---|
| Artificial Intelligence | +187.8 | +1,116 | |
| Earnings Growth | +39.3 | +56 | |
| Cryptocurrency | +30.7 | +35 | |
| Cloud Computing | +28.0 | +110 | |
| China Competition | -29.2 | -31 | |
| Supply Chain | -36.0 | -84 | |
| Nuclear Energy | -36.3 | +7 | |
| Inflation | -85.3 | -161 |
Velocity is the rate of change in theme coverage; level is its net sentiment balance.
| Theme | Sources | Conviction | |
|---|---|---|---|
| geopolitics | 291 | 57 | |
| defense security | 247 | 62 | |
| healthcare policy | 171 | 49 | |
| climate policy | 134 | 43 | |
| infrastructure | 122 | 47 | |
| trade policy | 112 | 55 | |
| energy policy | 110 | 59 | |
| transport mobility | 91 | 48 | |
| financial regulation | 90 | 54 | |
| industrial policy | 69 | 43 |
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.
Electrification Meets Constrained Fossil Supply 91/100
How: Electrification raises power demand while oil restraint, elevated prices, and contested fossil-fuel reduction limit reliable transitional supply, increasing the value of storage, flexibility, efficiency, and diversified generation.
Resolves to: Power-system reliability and flexibility become binding constraints, directing capital toward storage, grids, demand response, and efficiency while increasing energy-price volatility.
Security Rivalry Regionalizes Defense and Industrial Supply Chains 88/100
How: Deepening allied defense ties combine with national-security trade policies and multipolar competition, encouraging trusted-country procurement, domestic production, and tighter control of strategic technologies and inputs.
Resolves to: Defense, advanced manufacturing, and politically aligned supply chains gain investment, while firms exposed to cross-bloc trade face higher costs and market fragmentation.
Geopolitical Shocks Intensify Energy and Security Preparedness 84/100
How: Broadening conflict, hybrid threats, and geopolitical rivalry interact with constrained oil supply and energy dependence, turning energy infrastructure and fuel access into security vulnerabilities.
Resolves to: Governments and companies prioritize resilience, strategic reserves, infrastructure protection, and diversified sourcing, while conflict-related energy shocks amplify inflation and humanitarian spillovers.
Selective Cooperation Produces Parallel Standards and Systems 80/100
How: States continue cooperating on defense, treaties, energy security, and AI governance while pursuing strategic autonomy and protectionist trade policies, creating cooperation within blocs but weaker universal integration.
Resolves to: Markets face duplicated rules, interoperability challenges, and higher compliance costs; organizations able to operate across aligned ecosystems gain an advantage.
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 | 344 | — | — |
| Combines utility-scale renewable generation with electricity-network and storage exposure, aligning with power-system electrification. agriculture food, banking, climate policy, energy policy | ||||
| ACN | Accenture | 319 | — | — |
| Advises financial institutions on regulatory compliance, controls, cybersecurity, and operational resilience. banking, defense security, education skills, energy policy | ||||
| PLTR | Palantir Technologies | 309 | — | — |
| Provides AI-driven data analytics for intelligence and hybrid threat detection. defense security, financial regulation, geopolitics, immigration | ||||
| CAT | Caterpillar | 302 | — | — |
| Manufacturer of heavy equipment for building regional manufacturing facilities in new supply chain hubs agriculture food, climate policy, defense security, geopolitics | ||||
| SIEGY | Siemens | 301 | — | — |
| Industrial automation, electrification, and infrastructure systems are relevant to regional resilience and coordinated industrial modernization. climate policy, energy policy, geopolitics, industrial policy | ||||
| LMT | Lockheed Martin | 286 | — | — |
| Primary supplier of missile systems and aircraft used in regional conflicts. defense security, financial regulation, geopolitics, industrial policy | ||||
| MSFT | Microsoft | 280 | +47.6 | diverging |
| Cloud infrastructure (Azure) essential for the shift to 24/7 real-time financial operations. climate policy, education skills, energy policy, financial regulation | ||||
| SU.PA | Schneider Electric | 274 | — | — |
| Provides electrical equipment, automation, and energy-management systems supporting grid modernization and industrial efficiency. climate policy, energy policy, financial regulation, infrastructure | ||||
| AIR.PA | Airbus | 266 | — | — |
| Supplies military transport aircraft and defense systems to European allies. climate policy, defense security, energy policy, geopolitics | ||||
| TRI | Thomson Reuters Corp | 265 | — | — |
| 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.
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 | |
| 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 | |
| BAESY | BAE Systems plc | 82 | |
| RNMBY | Rheinmetall AG | 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 |
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 |
|---|---|---|
| SPY Neural Net (1w) | UP | 54% |
| Markov Regime Engine | UP | 72% |
Consensus: BULLISH
Weekly index projection: +0.47% (80% band -1.41% to +2.33%).
Votes are weighted by each model's realised hit rate and suspended when it falls below its baseline.
| Forecast volatility | 10.4% ann. |
| Percentile vs 6 months | 57% |
| Variance risk premium | +3.6 |
| 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.
| Theme | Branching | Half-life | State |
|---|---|---|---|
| Semiconductors | 0.87 | 0.8h | ELEVATED |
| Oil & Gas | 0.87 | 0.9h | ELEVATED |
| Supply Chain | 0.86 | 0.8h | ELEVATED |
| Interest Rates | 0.86 | 0.8h | ELEVATED |
| Cybersecurity | 0.80 | 0.8h | ELEVATED |
| Biotechnology | 0.78 | 0.9h | ELEVATED |
| Aerospace & Defense | 0.75 | 1.2h | ELEVATED |
| Crypto & Digital Assets | 0.68 | 1.3h | SUBCRITICAL |
Self-excitation of coverage per theme. A branching ratio near 1 means each story is spawning roughly one more.
| Scored today | 84 |
| Yesterday, same hour | 2,455 |
| Projected close of day | 2,540 |
| Daily average | 1,353 |
| Flow ratio vs normal | 1.15× |
| Total in corpus | 236,853 |
Volume of scored market coverage. Ratios below 1 mean a quiet tape.
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