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Daily network digest

Friday, September 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

BR was the most central name, carrying 2.91× the influence of an average node across 1493 stocks.

stocks
1493
Density
0.170
Clustering
0.428
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
BR 1 0.00195 2.91× 28.1% 11.1% BRO, MA, JKHY, SSNC, PRI
BXSL 2 0.00179 2.67× 33.4% 17.6% VICI, NDAQ, MKL, BR, ESNT
TGNA 3 0.00175 2.61× 29.6% 12.8% EPR, EGP, EQIX, HD, WEC
CCEP 4 0.00172 2.57× 24.3% 14.5% AWI, AVA, CME, ADC, CSQ
AMCR 5 0.00172 2.56× 28.6% 20.1% WPC, FTS, BMO, FSV, CCEP
LIN 6 0.00164 2.46× 27.6% 18.2% MKL, AON, BR, OGE, CCEP
TD 7 0.00163 2.43× 23.3% 13.0% AVB, VRSK, PM, SLF, GBDC
WM 8 0.00163 2.43× 22.3% 13.7% GLPI, SLF, EQIX, INGR, CMCSA
SO 9 0.00162 2.42× 24.5% 19.2% GIL, CLH, MAIN, CNP, PRI
FRT 10 0.00161 2.41× 30.8% 12.4% RITM, GATX, WAB, ENB, EG

Rising influence vs 2025-09-18

SymbolPageRank PreviousChange
ESLT 0.001480.00010 +0.00138
KBR 0.001440.00010 +0.00134
CMA 0.001410.00010 +0.00131
OMF 0.001390.00010 +0.00129
BTSG 0.001330.00010 +0.00123

Falling influence

SymbolPageRank PreviousChange
ULTA 0.000100.00150 -0.00140
STLA 0.000100.00147 -0.00137
BKR 0.000100.00142 -0.00132
VIK 0.000100.00142 -0.00131
ANET 0.000100.00135 -0.00125

Cryptocurrency

PNKUSD was the most central name, carrying 11.55× the influence of an average node across 219 assets.

assets
219
Density
0.083
Clustering
0.346
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 0.05274 11.55× 75.2% 12.8% XRPBTC, XDCUSD, DNTUSD, SWFTCUSD, FARMUSD
KAVAUSD 2 0.02585 5.66× 50.5% 12.4% XDCUSD, PNKUSD, BTCGBP, RARIEUR, SRMUSD
TRXUSD 3 0.02102 4.60× 39.0% 17.0% BTCAUD, UMAUSD, BTCEUR, BTCUSD, BTCJPY
KRLUSD 4 0.01754 3.84× 39.0% 3.2% PNKUSD, FISUSD, MKRUSD, XMRUSD, ETHBTC
ELAUSD 5 0.01659 3.63× 28.9% 29.4% PUNDIXUSD, DOGEUSD, FLOWUSD, ILVUSD, EGLDUSD
SRMUSD 6 0.01631 3.57× 30.7% 19.7% DIAUSD, CROUSD, ROSEUSD, REPUSD, FARMUSD
XMRUSD 7 0.01571 3.44× 26.6% 20.2% DSHUSD, HNTUSD, QTUMUSD, DASHUSD, JTOUSD
SGBUSD 8 0.01551 3.40× 34.9% 11.0% KAVAUSD, ICXUSD, OXYUSD, OMGUSD, KRLUSD
BTCAUD 9 0.01464 3.21× 26.1% 14.2% CHREUR, PNKUSD, DOTUSD, SUKUUSD, CTSIUSD
BTRSTUSD 10 0.01420 3.11× 22.9% 20.2% ELAUSD, XRPAUD, BTCGBP, WBTCUSD, BTCEUR

Rising influence vs 2025-09-18

SymbolPageRank PreviousChange
PNKUSD 0.052740.00937 +0.04336
KAVAUSD 0.025850.01172 +0.01412
RARIUSD 0.014000.00434 +0.00965
ELAUSD 0.016590.00776 +0.00884
UOSUSD 0.011500.00316 +0.00834

Falling influence

SymbolPageRank PreviousChange
LTCBTC 0.004510.02503 -0.02052
LCXUSD 0.010250.02261 -0.01236
KEEPUSD 0.007320.01831 -0.01099
TRXUSD 0.021020.03050 -0.00948
ASMUSD 0.005800.01476 -0.00896

Foreign exchange

ARSEUR was the most central name, carrying 17.55× the influence of an average node across 842 pairs.

pairs
842
Density
0.063
Clustering
0.385
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 0.02084 17.55× 20.3% 4.0% BRLJPY, JPYBRL, XAUAUD, MXNCHF, EURBRL
CNYHKD 2 0.00972 8.18× 3.2% 0.2% GHSEUR, EURGHS
AUDBRL 3 0.00943 7.94× 39.7% 6.4% BRLKRW, XAUBRL, USDRUB, XAGJPY, MXNRUB
COPBRL 4 0.00727 6.12× 33.5% 17.2% ILSZAR, NZDSEK, BRLKRW, HKDEUR, DKKUSD
KRWBRL 5 0.00697 5.87× 23.8% 8.6% BRLKRW, PHPUSD, EURSEK, ARSEUR, XAURUB
EURPYG 6 0.00673 5.67× 1.9% 1.1% BRLEUR, EURLRD, EURHNL, EURLKR, EURDOP
USDCLP 7 0.00667 5.62× 35.2% 9.4% GBPHTG, CHFUSD, CHFHKD, PENMXN, USDCHF
BRLJPY 8 0.00656 5.52× 17.0% 4.6% XAUJPY, BRLKRW, COPBRL, PENCAD, XAURUB
CADBRL 9 0.00642 5.40× 21.0% 6.8% BRLAUD, XAURUB, AUDBRL, COPBRL, MXNRUB
JPYBRL 10 0.00626 5.27× 17.1% 4.8% XAUJPY, COPBRL, BRLKRW, XAURUB, PENCAD

Rising influence vs 2025-09-18

SymbolPageRank PreviousChange
ARSEUR 0.020840.00741 +0.01343
AUDBRL 0.009430.00218 +0.00726
EURPYG 0.006730.00048 +0.00625
CNYHKD 0.009720.00499 +0.00473
USDMUR 0.005430.00071 +0.00473

Falling influence

SymbolPageRank PreviousChange
GBPXPF 0.000350.01276 -0.01241
SEKILS 0.001750.01235 -0.01060
TWDSEK 0.002570.00918 -0.00661
GBPMUR 0.000410.00615 -0.00574
MYRZAR 0.000460.00611 -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.