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Daily network digest

Thursday, September 4, 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

CME was the most central name, carrying 2.62× the influence of an average node across 1492 stocks.

stocks
1492
Density
0.173
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
CME 1 0.00175 2.62× 34.6% 20.9% RSG, ATO, ECL, RBA, OGE
EXPD 2 0.00175 2.61× 27.3% 13.2% L, PAYX, MSGS, NFG, DTE
SPG 3 0.00173 2.58× 23.5% 14.4% CASY, TGNA, CW, HNI, PPG
PBA 4 0.00171 2.54× 23.5% 14.6% L, NEU, ITW, IDXX, AQN
CUZ 5 0.00159 2.38× 34.7% 18.0% GIB, EXPD, DCI, CLX, UGI
TU 6 0.00157 2.35× 29.4% 17.9% L, MNST, ARCC, AIZ, BXSL
INTU 7 0.00156 2.33× 30.4% 16.1% PBA, FSV, EPD, WTM, CDP
CB 8 0.00154 2.30× 26.0% 16.2% SSNC, GIL, WTS, MAIN, SPG
G 9 0.00154 2.30× 33.8% 14.2% VICI, SPG, INTU, CW, JKHY
MAIN 10 0.00154 2.29× 23.7% 16.2% JKHY, BNS, CL, PBA, KMB

Rising influence vs 2025-09-03

SymbolPageRank PreviousChange
CUZ 0.001590.00010 +0.00149
PCVX 0.001360.00010 +0.00126
WH 0.001340.00010 +0.00124
TOST 0.001330.00010 +0.00122
NBIX 0.001280.00010 +0.00118

Falling influence

SymbolPageRank PreviousChange
ESLT 0.000100.00150 -0.00140
CMA 0.000100.00141 -0.00131
PYPL 0.000100.00140 -0.00130
OMF 0.000100.00139 -0.00129
DLTR 0.000100.00136 -0.00126

Cryptocurrency

PNKUSD was the most central name, carrying 12.37× the influence of an average node across 219 assets.

assets
219
Density
0.076
Clustering
0.323
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 0.05647 12.37× 72.5% 10.1% XRPBTC, XDCUSD, SWFTCUSD, DNTUSD, RENUSD
KAVAUSD 2 0.02578 5.65× 44.0% 9.6% XDCUSD, PNKUSD, BTCGBP, BOBAUSD, RUNEUSD
SRMUSD 3 0.02456 5.38× 42.2% 17.4% OXTUSD, DIAUSD, REPUSD, TRXUSD, LRCUSD
TRXUSD 4 0.02226 4.87× 37.2% 14.2% KEEPUSD, UMAUSD, PUNDIXUSD, PNKUSD, PERPUSD
XRPBTC 5 0.01952 4.28× 25.7% 7.8% WBTCUSD, CVCUSD, XMRUSD, ICXUSD, KAVAUSD
KRLUSD 6 0.01879 4.11× 38.1% 3.2% PNKUSD, FISUSD, XMRUSD, ETHBTC, BONKUSD
BTRSTUSD 7 0.01563 3.42× 28.4% 22.5% ELAUSD, BTCAUD, XRPAUD, XRPUSD, BTCGBP
ELAUSD 8 0.01469 3.22× 26.1% 19.3% PUNDIXUSD, DOGEUSD, WBTCUSD, BCHUSD, FLOWUSD
XMRUSD 9 0.01366 2.99× 15.1% 17.4% HNTUSD, FORTHUSD, SRMUSD, DSHUSD, AERGOUSD
UOSUSD 10 0.01351 2.96× 21.6% 5.5% REQUSD, ARPAUSD, RARIUSD, FTMUSD, HBARUSD

Rising influence vs 2025-09-03

SymbolPageRank PreviousChange
PNKUSD 0.056470.01160 +0.04487
SRMUSD 0.024560.00666 +0.01790
KAVAUSD 0.025780.01032 +0.01546
UOSUSD 0.013510.00295 +0.01057
XRPBTC 0.019520.01036 +0.00916

Falling influence

SymbolPageRank PreviousChange
LTCBTC 0.004990.03120 -0.02621
LCXUSD 0.006170.02379 -0.01763
KEEPUSD 0.008300.02281 -0.01450
BTCJPY 0.005020.01479 -0.00977
TRXUSD 0.022260.03068 -0.00842

Foreign exchange

GBPXPF was the most central name, carrying 11.61× the influence of an average node across 884 pairs.

pairs
884
Density
0.072
Clustering
0.372
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
GBPXPF 1 0.01313 11.61× 6.3% 9.1% XAGZAR, NZDTRY, KRWBRL, TWDCHF, TWDNZD
SEKILS 2 0.01260 11.13× 9.2% 6.3% ARSEUR, BRLRUB, GBPBRL, RUBCAD, KRWBRL
TWDSEK 3 0.00878 7.76× 18.2% 9.4% KRWRUB, BRLKRW, KRWBRL, XAUJPY, COPBRL
ARSEUR 4 0.00805 7.12× 34.0% 3.6% KRWTWD, SEKILS, GBPXPF, XAUARS, XAURUB
MXNARS 5 0.00625 5.52× 32.8% 3.1% SEKILS, ARSCHF, CHFARS, GBPXPF, JPYBRL
ARSMXN 6 0.00620 5.48× 32.5% 3.1% SEKILS, ARSCHF, GBPXPF, JPYBRL, CHFARS
CNYINR 7 0.00615 5.43× 26.0% 1.5% GBPXPF, SEKILS, BRLSEK, KRWBRL, TWDSEK
MYRZAR 8 0.00613 5.42× 25.9% 0.3% GBPXPF, SEKILS, TWDSEK
PENMXN 9 0.00611 5.40× 25.9% 0.3% GBPXPF, SEKILS, TWDSEK
CNYCAD 10 0.00611 5.40× 26.0% 1.5% BRLSEK, SEKILS, KRWBRL, GBPBRL, GBPXPF

Rising influence vs 2025-09-03

SymbolPageRank PreviousChange
SEKILS 0.012600.00067 +0.01192
TWDSEK 0.008780.00235 +0.00643
MYRZAR 0.006130.00113 +0.00499
GBPMGA 0.005110.00072 +0.00439
CNYCAD 0.006110.00179 +0.00432

Falling influence

SymbolPageRank PreviousChange
JPYRUB 0.002150.00626 -0.00410
CHFRUB 0.001320.00518 -0.00387
CADRUB 0.002260.00593 -0.00367
MDLUSD 0.000210.00371 -0.00349
CADARS 0.003170.00656 -0.00340

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.