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Daily network digest

Friday, October 24, 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

PBA was the most central name, carrying 2.65× the influence of an average node across 1496 stocks.

stocks
1496
Density
0.170
Clustering
0.417
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
PBA 1 0.00177 2.65× 23.1% 13.3% L, IDXX, ITW, CP, JAZZ
EPD 2 0.00171 2.56× 26.0% 10.4% AFL, SNX, MSFT, MKL, PRU
DE 3 0.00164 2.45× 24.9% 12.4% GIB, SPG, TRV, QGEN, BRK.A
REG 4 0.00163 2.44× 27.8% 15.9% WPC, PB, CLX, VTR, AWI
COST 5 0.00163 2.44× 33.2% 10.1% VLTO, PG, CSX, SXT, CTVA
SPG 6 0.00163 2.43× 23.6% 15.3% BMO, AVB, ARCC, AGO, JNJ
EXPD 7 0.00158 2.36× 21.9% 12.1% DTE, CL, IFS, FCN, ECL
CSQ 8 0.00157 2.35× 23.7% 1.1% F, RS, PEG, THO, VLY
GBDC 9 0.00153 2.29× 25.3% 18.0% SYK, MCK, ROL, MSA, TJX
RPRX 10 0.00153 2.28× 31.2% 19.1% WM, BXSL, STAG, KMB, EGP

Rising influence vs 2025-10-23

SymbolPageRank PreviousChange
INTU 0.001490.00010 +0.00139
WH 0.001430.00010 +0.00133
ZION 0.001350.00010 +0.00125
UTHR 0.001330.00010 +0.00123
CRH 0.001280.00010 +0.00118

Falling influence

SymbolPageRank PreviousChange
BTSG 0.000100.00144 -0.00134
ACIW 0.000100.00139 -0.00129
KNX 0.000100.00138 -0.00128
HL 0.000100.00132 -0.00122
AXP 0.000100.00132 -0.00122

Cryptocurrency

PROUSD was the most central name, carrying 6.41× the influence of an average node across 397 assets.

assets
397
Density
0.114
Clustering
0.363
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
PROUSD 1 0.01615 6.41× 66.7% 22.5% PNKUSD, ASMUSD, REPUSD, LCXUSD, MVUSD
BRICKUSD 2 0.01606 6.38× 60.9% 17.7% LTCBTC, OXYUSD, FIDAUSD, OPUSD, AAVEUSD
MNGOUSD 3 0.01552 6.16× 61.4% 34.8% GNOUSD, BTRSTUSD, GLMUSD, MLNUSD, USTUSD
GARIUSD 4 0.01390 5.52× 62.1% 21.2% INVUSD, DNTUSD, ROOKUSD, IOTXUSD, STRDUSD
TRXUSD 5 0.01269 5.04× 49.0% 11.9% NYMUSD, LRDSUSD, PROUSD, ETHBTC, MUSEUSD
BTRSTUSD 6 0.01249 4.96× 50.8% 9.1% WBTCUSD, BTCUSD, BTCAUD, BTCJPY, MNTUSD
REPV2USD 7 0.01044 4.14× 47.7% 10.6% TAOUSD, BRICKUSD, SDNUSD, UNFIUSD, QNTUSD
NODLUSD 8 0.01006 4.00× 48.5% 27.0% POLSUSD, GODSUSD, BICOUSD, ARPAUSD, TRXUSD
LCXUSD 9 0.00958 3.80× 42.9% 13.1% REPV2USD, LSKUSD, PIRATEUSD, ETHWUSD, ALEPHUSD
LTCBTC 10 0.00941 3.73× 35.1% 28.3% KEEPUSD, AERGOUSD, XRPBTC, TUSD, DNTUSD

Rising influence vs 2025-10-23

SymbolPageRank PreviousChange
PROUSD 0.016150.00233 +0.01382
LCXUSD 0.009580.00247 +0.00711
ASMUSD 0.009370.00283 +0.00654
BTRSTUSD 0.012490.00601 +0.00648
MNGOUSD 0.015520.00931 +0.00621

Falling influence

SymbolPageRank PreviousChange
KAVAUSD 0.004040.01168 -0.00764
TEERUSD 0.002880.01021 -0.00733
CQTUSD 0.004200.01113 -0.00693
L3USD 0.001000.00764 -0.00663
ROOKUSD 0.008630.01525 -0.00662

Foreign exchange

ARSEUR was the most central name, carrying 19.39× the influence of an average node across 844 pairs.

pairs
844
Density
0.062
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
ARSEUR 1 0.02297 19.39× 19.6% 4.3% XAGUSD, JPYBRL, XAURUB, BRLRUB, TWDSEK
AUDBRL 2 0.00969 8.18× 39.7% 6.6% BRLKRW, XAUBRL, USDRUB, MXNRUB, KRWRUB
COPBRL 3 0.00737 6.22× 34.0% 17.4% KRWSEK, BRLKRW, NZDSEK, ILSZAR, ZMWZAR
USDCLP 4 0.00696 5.87× 35.1% 9.4% HKDCHF, PENMXN, MYRNZD, GBPAED, CHFHKD
KRWBRL 5 0.00678 5.72× 23.5% 8.4% BRLKRW, EURSEK, PHPUSD, KRWSEK, INRSEK
CADBRL 6 0.00674 5.69× 20.8% 6.3% BRLAUD, COPBRL, AUDBRL, CHFTHB, AEDCHF
CNYHKD 7 0.00649 5.47× 2.8% 0.2% EURGHS, GHSEUR
XAURUB 8 0.00586 4.95× 24.7% 9.8% INRKRW, DOPGBP, GBPDOP, CADKYD, HUFCAD
XAUEUR 9 0.00566 4.78× 38.4% 13.5% THBUSD, JPYCLP, ARSJPY, JPYARS, BRLRUB
DOPUSD 10 0.00563 4.75× 4.9% 0.7% GHSUSD, COPCLP, GBPGHS, CLPCOP, GHSGBP

Rising influence vs 2025-10-23

SymbolPageRank PreviousChange
ARSEUR 0.022970.00612 +0.01685
AUDBRL 0.009690.00185 +0.00784
USDCLP 0.006960.00105 +0.00591
USDMUR 0.005620.00069 +0.00493
CADBRL 0.006740.00207 +0.00467

Falling influence

SymbolPageRank PreviousChange
GBPXPF 0.000360.01150 -0.01114
SEKILS 0.002000.00983 -0.00782
HUFZAR 0.000510.00771 -0.00721
CNYHKD 0.006490.01368 -0.00720
GBPMUR 0.000420.00607 -0.00564

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.