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Daily network digest

Tuesday, October 28, 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

SCHW was the most central name, carrying 2.76× the influence of an average node across 1495 stocks.

stocks
1495
Density
0.169
Clustering
0.413
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
SCHW 1 0.00184 2.76× 29.8% 14.1% WM, EVRG, CME, WTM, VRSK
BXSL 2 0.00172 2.58× 32.3% 17.2% BR, EGP, BRX, MET, FELE
RPRX 3 0.00172 2.57× 28.4% 19.4% LH, V, RITM, RHP, BOX
EPRT 4 0.00170 2.55× 31.5% 15.0% PPL, SPGI, AMH, COR, LIN
FELE 5 0.00167 2.49× 25.6% 12.4% NLY, MFC, DIS, EXPO, RMD
CCEP 6 0.00164 2.45× 26.0% 15.8% CSQ, ENB, SWX, TU, VRSK
VLTO 7 0.00159 2.37× 21.6% 13.5% NLY, CL, SUN, CNA, AME
AIG 8 0.00158 2.36× 26.3% 20.7% CSQ, SUI, ESS, V, ENB
OGE 9 0.00157 2.35× 24.2% 14.4% ROL, DLB, MDT, BOX, EHC
TD 10 0.00157 2.34× 22.2% 12.9% AVB, TGNA, WPC, ENB, JKHY

Rising influence vs 2025-10-27

SymbolPageRank PreviousChange
ESLT 0.001470.00010 +0.00137
BTSG 0.001440.00010 +0.00134
AM 0.001330.00010 +0.00123
HL 0.001320.00010 +0.00121
PSN 0.001310.00010 +0.00121

Falling influence

SymbolPageRank PreviousChange
PODD 0.000100.00146 -0.00136
PRVA 0.000100.00138 -0.00128
GNTX 0.000100.00137 -0.00127
INTU 0.000100.00136 -0.00126
DRI 0.000100.00136 -0.00126

Cryptocurrency

INVUSD was the most central name, carrying 5.77× the influence of an average node across 397 assets.

assets
397
Density
0.096
Clustering
0.315
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
INVUSD 1 0.01453 5.77× 45.2% 18.2% ACSUSD, TEERUSD, BTTUSD, ZETAUSD, YFIUSD
PNKUSD 2 0.01291 5.12× 42.7% 20.5% XDCUSD, XRPBTC, KP3RUSD, ATLASUSD, SWFTCUSD
KAVAUSD 3 0.01188 4.72× 41.7% 7.6% TOKEUSD, MUSEUSD, SRMUSD, BTRSTUSD, PNKUSD
PAXGUSD 4 0.01102 4.37× 42.9% 39.9% ENSUSD, MASKUSD, LPTUSD, PENDLEUSD, RUNEUSD
REPUSD 5 0.00944 3.75× 34.6% 9.3% CQTUSD, PORTALUSD, TREMPUSD, KINUSD, ALEOUSD
BRICKUSD 6 0.00907 3.60× 32.1% 12.6% BTCJPY, INVUSD, CFGUSD, KP3RUSD, NEXOUSD
PSTAKEUSD 7 0.00896 3.56× 39.6% 16.9% XRPAUD, INVUSD, BCHGBP, ASMUSD, GMXUSD
MNGOUSD 8 0.00837 3.32× 29.5% 13.4% NYMUSD, BONDUSD, APTUSD, MNDEUSD, BTCEUR
SBRUSD 9 0.00826 3.28× 36.6% 15.9% TONUSD, DEXTUSD, INDEXUSD, OPUSD, DIAUSD
KEYUSD 10 0.00822 3.26× 35.9% 8.1% REPV2USD, LTCBTC, TRXUSD, CFGUSD, TUSD

Rising influence vs 2025-10-27

SymbolPageRank PreviousChange
KAVAUSD 0.011880.00375 +0.00814
PNKUSD 0.012910.00482 +0.00808
SBRUSD 0.008260.00200 +0.00626
INVUSD 0.014530.00869 +0.00584
PAXGUSD 0.011020.00524 +0.00577

Falling influence

SymbolPageRank PreviousChange
PROUSD 0.003580.01564 -0.01207
MNGOUSD 0.008370.01740 -0.00904
GARIUSD 0.006810.01462 -0.00781
BTRSTUSD 0.003320.01038 -0.00705
ASMUSD 0.002840.00975 -0.00692

Foreign exchange

ARSEUR was the most central name, carrying 19.15× the influence of an average node across 834 pairs.

pairs
834
Density
0.062
Clustering
0.375
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
ARSEUR 1 0.02296 19.15× 19.9% 5.3% JPYILS, XAGUSD, ILSJPY, TWDSEK, BRLJPY
AUDBRL 2 0.01022 8.52× 41.1% 7.3% BRLKRW, XAUBRL, USDRUB, KRWRUB, GBPHTG
COPBRL 3 0.00749 6.25× 34.3% 17.4% KRWSEK, NZDSEK, ILSZAR, INRSEK, ZMWZAR
KRWBRL 4 0.00721 6.02× 24.4% 8.4% BRLKRW, EURSEK, INRSEK, PHPUSD, KRWSEK
USDCLP 5 0.00713 5.95× 35.2% 9.7% ILSJPY, GBPHTG, MYRNZD, AEDGBP, USDCHF
CADBRL 6 0.00695 5.80× 21.0% 6.1% XAURUB, BRLAUD, AUDBRL, COPBRL, MXNRUB
XAURUB 7 0.00624 5.20× 28.0% 9.4% INRKRW, XAGJPY, DOPGBP, CADKYD, KYDCAD
XAUEUR 8 0.00595 4.97× 40.1% 11.2% JPYCLP, THBUSD, ARSJPY, JPYARS, KRWBRL
CNYHKD 9 0.00591 4.93× 2.9% 0.2% GHSEUR, EURGHS
USDMUR 10 0.00584 4.87× 14.0% 1.4% KRWRUB, ILSJPY, JPYILS, RUBMXN, MXNRUB

Rising influence vs 2025-10-27

SymbolPageRank PreviousChange
ARSEUR 0.022960.00626 +0.01670
AUDBRL 0.010220.00186 +0.00836
USDCLP 0.007130.00089 +0.00624
USDMUR 0.005840.00069 +0.00515
CADBRL 0.006950.00227 +0.00468

Falling influence

SymbolPageRank PreviousChange
GBPXPF 0.000350.01171 -0.01136
SEKILS 0.002050.00965 -0.00760
HUFZAR 0.000500.00777 -0.00727
GBPMUR 0.000450.00619 -0.00574
MYRZAR 0.000390.00613 -0.00573

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.