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Daily network digest

Tuesday, October 7, 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

BXSL was the most central name, carrying 2.72× the influence of an average node across 1493 stocks.

stocks
1493
Density
0.169
Clustering
0.419
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
BXSL 1 0.00182 2.72× 32.9% 17.8% VICI, EGP, FELE, BR, SBRA
HIG 2 0.00179 2.68× 35.3% 12.3% CMCSA, DLB, OGE, OHI, ARCC
CCEP 3 0.00168 2.50× 23.7% 14.5% CSQ, SWX, V, VRSK, TDY
BR 4 0.00164 2.45× 27.7% 13.3% SNA, SSNC, PRI, AEP, TDY
BRC 5 0.00163 2.43× 28.4% 11.8% CCEP, MSCI, AFL, KEX, ABBV
DLTR 6 0.00161 2.41× 44.2% 20.5% CCEP, DLB, REG, FSV, GEHC
SCHW 7 0.00161 2.40× 29.7% 14.2% FHI, AFG, CME, EGP, MAA
TD 8 0.00160 2.39× 23.9% 11.5% SLF, AVB, VRSK, JKHY, TSN
FELE 9 0.00159 2.37× 24.9% 12.4% NLY, MFC, CTRA, EPRT, EXPO
TGNA 10 0.00158 2.36× 23.6% 13.1% IRT, VLTO, NNI, ITW, ET

Rising influence vs 2025-10-06

SymbolPageRank PreviousChange
ACIW 0.001500.00010 +0.00140
ESLT 0.001500.00010 +0.00140
HD 0.001430.00010 +0.00133
BTSG 0.001320.00010 +0.00122
GWRE 0.001320.00010 +0.00121

Falling influence

SymbolPageRank PreviousChange
ULTA 0.000100.00142 -0.00132
PODD 0.000100.00141 -0.00131
DOCS 0.000100.00140 -0.00130
ANET 0.000100.00134 -0.00124
EQH 0.000100.00132 -0.00122

Cryptocurrency

PNKUSD was the most central name, carrying 12.28× the influence of an average node across 219 assets.

assets
219
Density
0.079
Clustering
0.320
Diameter
3

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
PNKUSD 1 0.05606 12.28× 72.9% 12.8% XRPBTC, DNTUSD, SWFTCUSD, XDCUSD, CLVUSD
KAVAUSD 2 0.02568 5.62× 47.7% 11.0% XDCUSD, PNKUSD, UOSUSD, BTRSTUSD, LTCUSD
KRLUSD 3 0.01913 4.19× 39.4% 2.8% PNKUSD, XMRUSD, FISUSD, ETHBTC, BTCAUD
XMRUSD 4 0.01775 3.89× 27.1% 12.4% JTOUSD, DSHUSD, HNTUSD, TRACUSD, DIAUSD
TRXUSD 5 0.01670 3.66× 33.9% 14.2% BTCAUD, PUNDIXUSD, KEEPUSD, HIGHUSD, BTCUSD
REPUSD 6 0.01639 3.59× 31.7% 5.0% LTCEUR, TRXUSD, LTCBTC, XMRUSD, METISUSD
ELAUSD 7 0.01585 3.47× 27.5% 33.0% PUNDIXUSD, WBTCUSD, BTCUSD, COTIUSD, FLOWUSD
FARMUSD 8 0.01485 3.25× 14.7% 7.8% PNKUSD, REPUSD, LQTYUSD, KAVAUSD, IOTXUSD
WBTCUSD 9 0.01427 3.13× 29.8% 7.8% PNKUSD, CTSIUSD, XTZUSD, CHREUR, KAVAUSD
XRPBTC 10 0.01372 3.00× 22.5% 9.2% BOBAUSD, SOLUSD, PERPUSD, MSOLUSD, WBTCUSD

Rising influence vs 2025-10-06

SymbolPageRank PreviousChange
PNKUSD 0.056060.01297 +0.04309
KAVAUSD 0.025680.00878 +0.01691
FARMUSD 0.014850.00334 +0.01152
SWFTCUSD 0.012900.00148 +0.01142
REPUSD 0.016390.00498 +0.01141

Falling influence

SymbolPageRank PreviousChange
ASMUSD 0.005100.02610 -0.02100
BTRSTUSD 0.009930.03052 -0.02059
LTCBTC 0.006610.02276 -0.01616
KEEPUSD 0.009990.02313 -0.01314
TRXUSD 0.016700.02908 -0.01237

Foreign exchange

ARSEUR was the most central name, carrying 19.15× the influence of an average node across 829 pairs.

pairs
829
Density
0.065
Clustering
0.384
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 0.02310 19.15× 20.0% 5.1% JPYBRL, XAUAUD, TWDSEK, MXNCHF, BRLJPY
AUDBRL 2 0.00972 8.05× 41.3% 6.0% BRLKRW, USDRUB, XAUBRL, RUBMXN, KRWRUB
COPBRL 3 0.00724 6.00× 34.2% 17.4% NZDSEK, ILSZAR, DKKAED, USDEUR, USDCZK
KRWBRL 4 0.00722 5.98× 24.9% 8.8% BRLKRW, PHPUSD, EURSEK, BRLRUB, ARSEUR
USDCLP 5 0.00690 5.72× 36.0% 9.5% GBPAED, AEDGBP, MYRNZD, HKDCHF, CNYINR
CNYHKD 6 0.00638 5.29× 2.9% 0.2% EURGHS, GHSEUR
CADBRL 7 0.00637 5.28× 21.7% 6.4% BRLAUD, XAURUB, AUDBRL, COPBRL, CADINR
EURPYG 8 0.00609 5.05× 1.9% 1.1% BRLEUR, EURLRD, EURHNL, EURLKR, EURPGK
BRLKRW 9 0.00572 4.74× 19.3% 10.7% QARZAR, XAGRUB, TRYPLN, ARSMXN, CHFTHB
USDMUR 10 0.00558 4.62× 14.0% 1.3% JPYILS, KRWRUB, ILSJPY, BRLRUB, XAUINR

Rising influence vs 2025-10-06

SymbolPageRank PreviousChange
ARSEUR 0.023100.00715 +0.01595
AUDBRL 0.009720.00212 +0.00760
USDCLP 0.006900.00113 +0.00577
EURPYG 0.006090.00066 +0.00543
USDMUR 0.005580.00071 +0.00487

Falling influence

SymbolPageRank PreviousChange
GBPXPF 0.000380.01324 -0.01286
SEKILS 0.001550.01220 -0.01066
HUFZAR 0.000600.00716 -0.00656
TWDSEK 0.002590.00905 -0.00646
GBPMUR 0.000420.00607 -0.00565

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.