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Daily network digest

Monday, February 16, 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

STN was the most central name, carrying 3.35× the influence of an average node across 1494 stocks.

stocks
1494
Density
0.176
Clustering
0.419
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
STN 1 0.00224 3.35× 30.1% 10.8% SCI, COR, ROK, AMT, V
CSQ 2 0.00197 2.94× 26.7% 4.7% ESNT, EWBC, PFE, AVT, DOC
APG 3 0.00173 2.59× 27.0% 12.1% L, CVX, WRB, CHE, FTV
FRT 4 0.00169 2.52× 27.7% 13.9% WCN, RGA, EMR, TDY, BRO
OTTR 5 0.00168 2.51× 31.8% 19.0% KO, WRB, CLH, FE, FTS
BNS 6 0.00166 2.48× 22.8% 12.3% WTRG, ET, WTW, PEP, CCK
WCN 7 0.00162 2.42× 27.3% 15.2% AB, ICE, BKH, PPL, MA
ETN 8 0.00161 2.41× 34.5% 16.1% GBDC, MA, TD, GLPI, NWSA
BAP 9 0.00159 2.37× 26.7% 17.0% NWSA, STWD, ECL, REYN, VZ
TD 10 0.00157 2.35× 22.2% 9.1% AON, O, NVR, BPOP, CPB

Rising influence vs 2026-02-13

SymbolPageRank PreviousChange
VLO 0.001000.00010 +0.00090
ATR 0.001380.00114 +0.00024
COO 0.001050.00086 +0.00019
CTRE 0.001080.00089 +0.00019
IFS 0.001290.00111 +0.00018

Falling influence

SymbolPageRank PreviousChange
ESE 0.001210.00143 -0.00023
RMD 0.001030.00121 -0.00018
BXMT 0.001130.00131 -0.00018
BKNG 0.000750.00091 -0.00016
NDSN 0.001070.00122 -0.00015

Cryptocurrency

RBCUSD was the most central name, carrying 7.09× the influence of an average node across 409 assets.

assets
409
Density
0.121
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
RBCUSD 1 0.01733 7.09× 64.2% 23.3% FIDAUSD, EIGENUSD, LPTUSD, ZRXUSD, TRUMPUSD
AIRUSD 2 0.01235 5.05× 60.0% 14.7% AUDIOUSD, JUPUSD, TRXUSD, POLUSD, CSPRUSD
SBRUSD 3 0.01075 4.40× 51.7% 17.2% TONUSD, COWUSD, RARIEUR, INVUSD, RBCUSD
XAUTUSD 4 0.00955 3.91× 51.5% 34.8% HFTUSD, ORCAUSD, DIAUSD, GUSD, POLISUSD
PAXGUSD 5 0.00938 3.84× 51.5% 29.7% UNIUSD, ORCAUSD, DIAUSD, KAVAUSD, HFTUSD
REPUSD 6 0.00897 3.67× 41.2% 23.5% MVUSD, CQTUSD, SHPINGUSD, LTCEUR, KASUSD
LTCBTC 7 0.00815 3.33× 44.6% 7.4% PRIMEUSD, ABTUSD, PAXGUSD, UOSUSD, SBRUSD
GARIUSD 8 0.00793 3.24× 31.9% 19.1% VOXELUSD, LMWRUSD, NCTUSD, DBRUSD, NMRUSD
GOMININGUSD 9 0.00792 3.24× 40.4% 23.3% DIAUSD, BNTUSD, KRLUSD, BANDUSD, DBRUSD
CSPRUSD 10 0.00779 3.19× 37.5% 6.6% QNTUSD, NMRUSD, GARIUSD, CQTUSD, BCHNUSD

Rising influence vs 2026-02-15

SymbolPageRank PreviousChange
RBCUSD 0.017330.00610 +0.01123
AIRUSD 0.012350.00522 +0.00713
CSPRUSD 0.007790.00257 +0.00523
SBRUSD 0.010750.00554 +0.00521
TIMEUSD 0.007440.00278 +0.00466

Falling influence

SymbolPageRank PreviousChange
MOONUSD 0.002110.01079 -0.00868
REQUSD 0.004480.01262 -0.00814
NYMUSD 0.003310.01061 -0.00730
SWEATUSD 0.006510.01329 -0.00678
MNGOUSD 0.005130.01161 -0.00648

Foreign exchange

MXNCOP was the most central name, carrying 10.86× the influence of an average node across 888 pairs.

pairs
888
Density
0.061
Clustering
0.501
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
MXNCOP 1 0.01223 10.86× 9.1% 10.8% UYUGBP, GBPUYU, USDTZS, CDFGBP, GBPCDF
GBPXPF 2 0.00917 8.14× 4.4% 8.0% TWDNZD, TWDCHF, CHFTWD, BRLSEK, DKKTWD
TWDSEK 3 0.00806 7.15× 13.5% 7.8% KRWBRL, GBPBRL, PENBRL, BRLJPY, JPYBRL
BRLJPY 4 0.00760 6.75× 13.8% 7.6% USDRUB, RUBUSD, RUBKRW, CADRUB, RUBGBP
JPYBRL 5 0.00735 6.53× 14.0% 7.4% USDRUB, RUBKRW, RUBUSD, BRLUSD, CADRUB
EURILS 6 0.00714 6.34× 8.6% 5.4% ILSPLN, XAUMXN, XAUCNY, XAUGBP, XAUINR
USDXPF 7 0.00604 5.37× 12.3% 4.1% EURTZS, PKREUR, EURMWK, ZARMAD, EURMOP
USDUYU 8 0.00569 5.06× 13.1% 1.2% NPRGBP, BTNGBP, GBPKZT, GBPBTN, GBPNPR
BRLCHF 9 0.00556 4.94× 28.1% 23.0% RUBUSD, BRLUSD, USDRUB, IDRZAR, QARZAR
ARSMXN 10 0.00552 4.91× 30.1% 1.8% BRLJPY, JPYBRL, GBPXPF, BRLCHF, TWDSEK

Rising influence vs 2026-02-13

SymbolPageRank PreviousChange
MXNCOP 0.012230.00105 +0.01118
GBPXPF 0.009170.00034 +0.00882
TWDSEK 0.008060.00119 +0.00686
EURILS 0.007140.00166 +0.00548
MYRZAR 0.005470.00034 +0.00513

Falling influence

SymbolPageRank PreviousChange
AUDBRL 0.001450.01638 -0.01493
CADBRL 0.002570.01148 -0.00891
CHFTHB 0.000470.00748 -0.00701
KRWBRL 0.004640.01131 -0.00667
GBPCLP 0.001880.00848 -0.00660

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.