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Daily network digest

Wednesday, November 19, 2025

Directed information-flow networks for this session, covering US equities, Cryptocurrency, Foreign exchange. Each class is estimated independently over a trailing one-year window; the tables below rank the assets carrying the most influence within their own network.

Jump to: US equities · Cryptocurrency · Foreign exchange

US equities

PBA was the most central name, carrying 2.78× the influence of an average node across 1495 stocks.

stocks
1495
Density
0.179
Clustering
0.424
Diameter
2

Most central

Ranked by PageRank within the session's directed network. “vs average” shows influence relative to a node with no advantage — 1.00× would mean perfectly ordinary.

Symbol#PageRank vs averageReceives fromSends toStrongest outgoing
PBA 1 0.00186 2.78× 25.4% 12.2% L, SON, PCAR, JAZZ, SUN
CME 2 0.00165 2.46× 28.3% 18.3% HTGC, SPGI, OHI, ETR, MCD
GIB 3 0.00162 2.42× 24.6% 12.3% CSX, LIN, GBDC, BJ, SNX
EPD 4 0.00162 2.42× 25.8% 12.2% MKL, PRU, CSCO, V, DGX
COST 5 0.00156 2.33× 27.6% 9.9% VLTO, SXT, CSX, CNO, AB
CSX 6 0.00153 2.29× 22.0% 13.1% V, ORLY, CL, BNL, VLTO
AGO 7 0.00151 2.25× 25.8% 11.4% JCI, GGG, CTSH, CNI, INTU
GHC 8 0.00150 2.24× 32.3% 22.3% CL, BATRA, SPG, CM, GGG
INTU 9 0.00149 2.23× 27.3% 14.4% CMS, KO, BRK.B, CSX, PFG
BMO 10 0.00149 2.23× 23.8% 18.1% CSQ, EVRG, PBA, SPGI, OTTR

Rising influence vs 2025-11-18

SymbolPageRank PreviousChange
UTHR 0.001230.00010 +0.00113
PLMR 0.001200.00010 +0.00110
MTZ 0.001180.00010 +0.00108
DECK 0.001180.00010 +0.00108
SSB 0.001170.00010 +0.00107

Falling influence

SymbolPageRank PreviousChange
LBTYK 0.000100.00135 -0.00125
DBX 0.000100.00134 -0.00124
BTSG 0.000100.00133 -0.00123
SEB 0.000100.00132 -0.00121
BLKB 0.000100.00131 -0.00121

Cryptocurrency

KAVAUSD was the most central name, carrying 5.56× the influence of an average node across 393 assets.

assets
393
Density
0.103
Clustering
0.320
Diameter
2

Most central

Ranked by PageRank within the session's directed network. “vs average” shows influence relative to a node with no advantage — 1.00× would mean perfectly ordinary.

Symbol#PageRank vs averageReceives fromSends toStrongest outgoing
KAVAUSD 1 0.01416 5.56× 48.0% 4.8% XDCUSD, RENUSD, ZETAUSD, CVCUSD, BLZUSD
XAUTUSD 2 0.01133 4.45× 45.7% 34.9% SDNUSD, AERGOUSD, XDCUSD, LRCUSD, BTRSTUSD
TEERUSD 3 0.01038 4.08× 41.3% 25.0% GNOUSD, BOBAUSD, CROUSD, NCTUSD, MULTIUSD
CQTUSD 4 0.01005 3.95× 32.9% 18.1% BTCJPY, GFIUSD, CSPRUSD, RAYUSD, KRLUSD
PAXGUSD 5 0.01004 3.95× 43.6% 24.2% RBCUSD, BCHNUSD, MULTIUSD, XDCUSD, BADGERUSD
MXCUSD 6 0.01001 3.93× 41.8% 35.7% ETHUSD, NEOUSD, HBARUSD, XTZUSD, MNGOUSD
DNTUSD 7 0.00956 3.76× 38.5% 5.4% STRDUSD, ETCUSD, NEONUSD, ZECUSD, ASMUSD
REQUSD 8 0.00942 3.70× 34.7% 14.8% DIMOUSD, GNOUSD, MVUSD, KRLUSD, MULTIUSD
GARIUSD 9 0.00876 3.44× 41.3% 30.4% LTCEUR, CQTUSD, BCHUSD, BCHEUR, NEOUSD
EWTUSD 10 0.00876 3.44× 32.7% 18.1% FARMUSD, OXTUSD, ETHBTC, NYMUSD, COMPUSD

Rising influence vs 2025-11-18

SymbolPageRank PreviousChange
DNTUSD 0.009560.00137 +0.00820
EWTUSD 0.008760.00262 +0.00613
CQTUSD 0.010050.00408 +0.00597
MXCUSD 0.010010.00422 +0.00579
ZECUSD 0.007090.00177 +0.00532

Falling influence

SymbolPageRank PreviousChange
INVUSD 0.003410.01327 -0.00987
KMNOUSD 0.003500.01205 -0.00855
SGBUSD 0.002750.00976 -0.00701
SBRUSD 0.007010.01325 -0.00624
BTCGBP 0.002520.00722 -0.00471

Foreign exchange

DOPUSD was the most central name, carrying 11.31× the influence of an average node across 850 pairs.

pairs
850
Density
0.083
Clustering
0.379
Diameter

Most central

Ranked by PageRank within the session's directed network. “vs average” shows influence relative to a node with no advantage — 1.00× would mean perfectly ordinary.

Symbol#PageRank vs averageReceives fromSends toStrongest outgoing
DOPUSD 1 0.01331 11.31× 3.9% 1.1% JPYRSD, CHFRSD, GBPRSD, RSDGBP, GHSUSD
GBPXPF 2 0.00884 7.51× 7.3% 7.5% XAGUSD, XAGSAR, JPYKRW, TWDHKD, TWDSGD
CNYSGD 3 0.00741 6.30× 18.0% 2.5% GBPXPF, PKRZAR, ZARPKR, GBPCAD, DKKPKR
CNYINR 4 0.00735 6.25× 16.1% 0.2% GBPXPF, ARSEUR
GBPARS 5 0.00682 5.80× 22.1% 3.2% SCRGBP, XAUEUR, RUBCHF, CHFRUB, GBPXPF
ARSSGD 6 0.00680 5.78× 23.3% 3.9% XAGKRW, BWPZAR, SCRGBP, XAGGBP, XAGEUR
CADARS 7 0.00679 5.77× 23.1% 3.8% XAGKRW, SCRGBP, XAUCAD, BWPZAR, GBPXPF
ARSCAD 8 0.00679 5.77× 23.1% 3.9% XAGKRW, XAURUB, GBPXPF, XAUCAD, XAUBRL
ARSHKD 9 0.00660 5.61× 19.9% 4.4% XAGKRW, GBPXPF, XAGJPY, ARSAUD, XAGEUR
SGDARS 10 0.00659 5.60× 20.4% 4.0% XAGKRW, BWPZAR, SCRGBP, XAUEUR, XAUINR

Rising influence vs 2025-11-18

SymbolPageRank PreviousChange
GBPXPF 0.008840.00036 +0.00848
DOPUSD 0.013310.00550 +0.00781
CNYINR 0.007350.00219 +0.00516
ARSSGD 0.006800.00194 +0.00486
SGDARS 0.006590.00192 +0.00467

Falling influence

SymbolPageRank PreviousChange
ARSEUR 0.005890.02841 -0.02252
AUDBRL 0.001960.01052 -0.00856
USDCLP 0.000530.00841 -0.00789
KRWBRL 0.001630.00842 -0.00679
CADBRL 0.001190.00792 -0.00673

How these numbers are produced

Transfer entropy measures how much knowing one asset's past reduces uncertainty about another's future, beyond what that asset's own past already explains. Unlike correlation it is directional, so an edge from A to B means A's moves carry information about B's next move — not merely that they move together.

Each night we estimate transfer entropy across three universes — roughly 1,500 US common stocks, 350 cryptocurrencies and 550 currency pairs — over a trailing one-year window, conditioning on a broad market series so that shared market-wide movement is discounted rather than counted as a link. Edges surviving the significance filter form that session's directed network, from which the centrality figures on this page are computed. Coverage differs by class: crypto reaches back to January 2024, equities to August 2025, so older digests may cover fewer classes.

PageRank ranks an asset by how much influence flows into it from other influential assets. In-degree and out-degree are the share of the network sending information to it and receiving information from it. Betweenness captures how often an asset sits on the shortest path between two others.

The volatility watch score is a model estimate of the probability that an asset sees elevated volatility in the coming sessions. It is a research output, not a forecast of price direction, and nothing on this page is investment advice.