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Daily network digest

Friday, September 5, 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

FSV was the most central name, carrying 2.82× the influence of an average node across 1492 stocks.

stocks
1492
Density
0.170
Clustering
0.415
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
FSV 1 0.00189 2.82× 26.6% 13.6% HTGC, V, EQR, ITW, ECL
CTAS 2 0.00179 2.67× 29.2% 11.7% MA, CARR, FSV, ARCC, GEHC
FRT 3 0.00171 2.55× 24.6% 6.6% USFD, WTS, CBSH, PECO, BIPC
CASY 4 0.00165 2.46× 32.1% 14.6% ATO, ADC, CTAS, TMO, BYD
VRSK 5 0.00164 2.44× 26.7% 16.3% MCD, FRT, CPT, RY, EXC
HR 6 0.00163 2.43× 30.2% 22.9% FOX, PCH, L, AFG, CHD
CWST 7 0.00162 2.42× 30.7% 15.0% MKL, VRSK, FCN, GHC, NEU
NDSN 8 0.00158 2.35× 30.3% 10.4% CDP, BIPC, HR, CTVA, LH
EXPD 9 0.00154 2.30× 23.6% 8.9% CTVA, TMO, PG, SNA, JPM
WCN 10 0.00153 2.29× 22.6% 12.3% CNI, CSCO, PNC, CUBE, ITW

Rising influence vs 2025-09-04

SymbolPageRank PreviousChange
ULTA 0.001510.00010 +0.00141
BKR 0.001440.00010 +0.00134
DD 0.001420.00010 +0.00132
STLA 0.001420.00010 +0.00132
ANET 0.001340.00010 +0.00123

Falling influence

SymbolPageRank PreviousChange
PCVX 0.000100.00136 -0.00126
JAZZ 0.000100.00133 -0.00123
TOST 0.000100.00133 -0.00122
TNET 0.000100.00129 -0.00119
WFC 0.000100.00127 -0.00117

Cryptocurrency

BONDUSD was the most central name, carrying 4.69× the influence of an average node across 219 assets.

assets
219
Density
0.089
Clustering
0.288
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
BONDUSD 1 0.02143 4.69× 38.1% 25.2% AIOZUSD, BCHEUR, KEEPUSD, RARIUSD, OCEANUSD
KAVAUSD 2 0.02039 4.46× 36.2% 9.6% AAVEUSD, NEARUSD, BCHUSD, SWFTCUSD, USTUSD
TRXUSD 3 0.01774 3.88× 30.3% 15.1% CVCUSD, BADGERUSD, APEUSD, DIAUSD, QNTUSD
XAUTUSD 4 0.01745 3.82× 34.9% 20.2% C98USD, AUCTIONUSD, BTRSTUSD, PNKUSD, LSKUSD
MKRUSD 5 0.01632 3.57× 28.9% 12.4% BADGERUSD, UOSUSD, MLNUSD, GALAUSD, PYRUSD
XRPBTC 6 0.01459 3.20× 28.9% 9.2% FARMUSD, BADGERUSD, AAVEUSD, BTTUSD, OXYUSD
ZECUSD 7 0.01447 3.17× 23.9% 10.1% DASHUSD, MKRUSD, ASTUSD, OXTUSD, MIRUSD
USTUSD 8 0.01407 3.08× 29.8% 14.2% ASTUSD, FARMUSD, BTCAUD, JUPUSD, BONDUSD
BTCAUD 9 0.01400 3.07× 27.1% 14.7% ABTUSD, BTRSTUSD, XRDUSD, AVTUSD, XMRUSD
BTRSTUSD 10 0.01397 3.06× 26.6% 24.3% ETHAUD, TUSD, KEEPUSD, CROUSD, FILUSD

Rising influence vs 2025-09-04

SymbolPageRank PreviousChange
BONDUSD 0.021430.00769 +0.01374
ZECUSD 0.014470.00236 +0.01211
MKRUSD 0.016320.00457 +0.01176
XAUTUSD 0.017450.00912 +0.00834
XRPAUD 0.012650.00506 +0.00759

Falling influence

SymbolPageRank PreviousChange
PNKUSD 0.013820.05647 -0.04265
SRMUSD 0.008020.02456 -0.01654
ELAUSD 0.003400.01469 -0.01129
UOSUSD 0.004820.01351 -0.00869
AIOZUSD 0.004300.01237 -0.00807

Foreign exchange

CNYHKD was the most central name, carrying 8.42× the influence of an average node across 847 pairs.

pairs
847
Density
0.065
Clustering
0.386
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
CNYHKD 1 0.00994 8.42× 2.8% 0.2% GHSEUR, EURGHS
BRLJPY 2 0.00918 7.78× 16.9% 3.8% BRLKRW, COPBRL, XAUJPY, THBKRW, CHFINR
AUDBRL 3 0.00823 6.97× 40.0% 7.8% BRLKRW, USDRUB, XAUBRL, MXNRUB, GBPAED
COPBRL 4 0.00663 5.62× 33.5% 16.9% NZDSEK, BRLKRW, EURHKD, DKKUSD, USDISK
JPYBRL 5 0.00660 5.59× 16.9% 4.7% XAUJPY, COPBRL, BRLKRW, RUBGBP, CADINR
BRLKRW 6 0.00649 5.50× 18.1% 10.6% ARSMXN, QARZAR, ARSHKD, ARSEUR, JPYARS
BRLCHF 7 0.00640 5.42× 16.7% 8.7% BRLKRW, XAUJPY, COPBRL, PENCAD, USDRUB
CHFBRL 8 0.00617 5.22× 16.4% 9.2% XAUJPY, BRLKRW, COPBRL, PENCAD, USDRUB
EURPYG 9 0.00616 5.22× 1.4% 1.2% BRLEUR, EURLKR, EURBZD, EURMWK, EURLRD
XAUAUD 10 0.00542 4.59× 14.1% 26.0% KRWBRL, SGDBRL, BRLSGD, TWDIDR, EURBRL

Rising influence vs 2025-09-04

SymbolPageRank PreviousChange
CNYHKD 0.009940.00300 +0.00694
AUDBRL 0.008230.00224 +0.00599
EURPYG 0.006160.00101 +0.00515
BRLJPY 0.009180.00418 +0.00500
CHFINR 0.004910.00030 +0.00460

Falling influence

SymbolPageRank PreviousChange
GBPXPF 0.000340.01313 -0.01279
SEKILS 0.001880.01260 -0.01071
TWDSEK 0.001200.00878 -0.00759
GBPMUR 0.000400.00611 -0.00571
MYRZAR 0.000430.00613 -0.00569

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.