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Daily network digest

Wednesday, February 25, 2026

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

TGNA was the most central name, carrying 3.26× the influence of an average node across 1494 stocks.

stocks
1494
Density
0.180
Clustering
0.433
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
TGNA 1 0.00218 3.26× 33.4% 13.7% GFL, OGE, SSNC, CTRE, GLPI
SCHW 2 0.00203 3.03× 33.4% 15.7% VRSK, MLM, BAC, BKH, MCO
RY 3 0.00199 2.98× 29.3% 7.4% AIG, MSA, COR, NLY, MNST
STE 4 0.00183 2.74× 30.5% 14.1% AVA, ALLE, EQR, PECO, RY
BNS 5 0.00180 2.70× 28.2% 13.3% EA, GD, NLY, PRI, TFSL
DBX 6 0.00178 2.66× 35.6% 23.2% OHI, AER, WEC, PNW, GFL
CPT 7 0.00176 2.63× 31.2% 12.5% BNS, IDXX, BAC, FTNT, HEI
XEL 8 0.00173 2.59× 29.3% 11.5% CTRE, NHI, BLK, TD, CLH
AMH 9 0.00167 2.49× 25.5% 12.8% WPC, BNS, CSX, VZ, XYL
RPRX 10 0.00165 2.46× 26.9% 20.0% UDR, WEC, CM, V, LH

Rising influence vs 2026-02-24

SymbolPageRank PreviousChange
AM 0.001610.00010 +0.00151
MTCH 0.001460.00010 +0.00136
ESI 0.001340.00010 +0.00124
DB 0.001330.00010 +0.00123
FG 0.001290.00010 +0.00119

Falling influence

SymbolPageRank PreviousChange
AN 0.000100.00169 -0.00159
ETN 0.000100.00160 -0.00150
LAD 0.000100.00132 -0.00122
BF.A 0.000100.00124 -0.00114
MPC 0.000100.00124 -0.00114

Cryptocurrency

RBCUSD was the most central name, carrying 7.26× the influence of an average node across 407 assets.

assets
407
Density
0.118
Clustering
0.358
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
RBCUSD 1 0.01783 7.26× 69.0% 20.7% BTTUSD, ZRXUSD, MORPHOUSD, LPTUSD, MVUSD
AIRUSD 2 0.01231 5.01× 58.9% 14.0% MNDEUSD, AUDIOUSD, TRXUSD, METISUSD, CHZUSD
XAUTUSD 3 0.01046 4.26× 53.2% 33.7% ORCAUSD, HFTUSD, PYTHUSD, POLISUSD, DIAUSD
SBRUSD 4 0.01035 4.21× 50.0% 20.7% TONUSD, RARIEUR, COWUSD, ATLASUSD, MORPHOUSD
REPUSD 5 0.00998 4.06× 46.3% 21.9% CQTUSD, A8USD, XDCUSD, TREMPUSD, RARIEUR
PAXGUSD 6 0.00948 3.86× 49.3% 30.0% DIAUSD, KAVAUSD, GUSD, HFTUSD, ORCAUSD
LTCBTC 7 0.00835 3.40× 43.1% 8.4% PRIMEUSD, KMNOUSD, AIRUSD, ABTUSD, PAXGUSD
KMNOUSD 8 0.00773 3.14× 36.0% 12.3% LSETHUSD, AGLDUSD, FISUSD, KP3RUSD, AVTUSD
TRXUSD 9 0.00751 3.06× 41.9% 18.2% ACAUSD, CELOUSD, GARIUSD, FOXUSD, KMNOUSD
TIMEUSD 10 0.00748 3.04× 40.6% 19.2% ALPHAUSD, ASTUSD, JTOUSD, GSTUSD, XRPUSD

Rising influence vs 2026-02-24

SymbolPageRank PreviousChange
RBCUSD 0.017830.00697 +0.01086
AIRUSD 0.012310.00567 +0.00664
SBRUSD 0.010350.00552 +0.00483
CSPRUSD 0.007330.00289 +0.00445
TIMEUSD 0.007480.00324 +0.00424

Falling influence

SymbolPageRank PreviousChange
ELAUSD 0.005020.01641 -0.01139
MOONUSD 0.001980.01094 -0.00895
REQUSD 0.004280.01245 -0.00817
MNGOUSD 0.004200.01069 -0.00650
BSXUSD 0.002430.00815 -0.00572

Foreign exchange

DOPUSD was the most central name, carrying 8.92× the influence of an average node across 800 pairs.

pairs
800
Density
0.075
Clustering
0.460
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
DOPUSD 1 0.01115 8.92× 3.5% 1.4% GBPRSD, CHFRSD, JPYRSD, RSDGBP, GHSUSD
GBPXPF 2 0.00952 7.61× 5.4% 7.3% COPMXN, KRWGBP, MYRGBP, JPYKRW, TWDKRW
GBPMUR 3 0.00842 6.74× 8.9% 0.6% SEKILS, PLNILS, XAUCAD, JPYINR, XAUJPY
CNYINR 4 0.00824 6.59× 8.5% 1.5% SEKILS, BRLKRW, ILSJPY, JPYILS, PLNILS
CNYSGD 5 0.00740 5.92× 14.4% 0.4% GBPXPF, BRLCHF, CHFBRL
SGDARS 6 0.00682 5.46× 18.9% 4.1% GBPXPF, BWPZAR, USDRUB, RUBKRW, PHPGBP
ARSSGD 7 0.00663 5.31× 20.5% 6.4% GBPXPF, BWPZAR, USDRUB, RUBJPY, SGDMYR
CADARS 8 0.00662 5.30× 20.8% 5.6% GBPXPF, SGDMYR, RUBZAR, IDRMYR, AUDMYR
GBPARS 9 0.00654 5.24× 20.3% 6.3% GBPXPF, EURTWD, SGDMYR, EGPZAR, JPYMYR
ARSCAD 10 0.00651 5.21× 20.8% 4.9% GBPXPF, USDRUB, RUBZAR, RUBCAD, KRWMYR

Rising influence vs 2026-02-24

SymbolPageRank PreviousChange
GBPXPF 0.009520.00038 +0.00914
CNYINR 0.008240.00167 +0.00657
DOPUSD 0.011150.00514 +0.00600
CNYSGD 0.007400.00211 +0.00529
UYUEUR 0.006450.00194 +0.00451

Falling influence

SymbolPageRank PreviousChange
ZARIDR 0.000790.01417 -0.01338
CLPGBP 0.000220.00887 -0.00865
GBPCLP 0.000220.00882 -0.00861
COPUSD 0.000630.00882 -0.00819
CHFTHB 0.000700.00793 -0.00723

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.