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Daily network digest

Friday, January 23, 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 2.75× the influence of an average node across 1493 stocks.

stocks
1493
Density
0.177
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
STN 1 0.00184 2.75× 27.2% 11.1% SCI, LIN, V, COR, AMT
OTTR 2 0.00177 2.64× 32.4% 17.3% CNP, KO, AON, WRB, CLH
WCN 3 0.00174 2.60× 28.2% 13.9% AB, ICE, BNL, AFG, PPL
CSQ 4 0.00173 2.59× 26.5% 4.9% CTAS, EWBC, ARW, LEA, ESNT
CTAS 5 0.00172 2.58× 31.1% 19.3% MA, ESS, LAUR, EGP, NDSN
ETN 6 0.00171 2.55× 33.3% 15.5% MA, EXC, PJT, NNN, DUK
FRT 7 0.00168 2.51× 31.7% 14.7% ADT, EMR, TDY, WCN, NWS
CR 8 0.00166 2.48× 25.9% 13.7% MA, ED, REG, RITM, CNI
EMR 9 0.00165 2.47× 29.9% 13.9% CM, RITM, FHB, OTIS, CFR
NWS 10 0.00161 2.41× 32.9% 18.7% LNT, WPC, PG, EPRT, CSQ

Rising influence vs 2026-01-22

SymbolPageRank PreviousChange
ETN 0.001710.00010 +0.00161
HASI 0.001400.00010 +0.00130
LOPE 0.001340.00010 +0.00124
ROIV 0.001340.00010 +0.00124
DBX 0.001330.00010 +0.00123

Falling influence

SymbolPageRank PreviousChange
INTU 0.000100.00147 -0.00137
IMO 0.000100.00129 -0.00119
TDS 0.000100.00127 -0.00117
IRM 0.000100.00123 -0.00113
MTZ 0.000100.00122 -0.00112

Cryptocurrency

SBRUSD was the most central name, carrying 5.30× the influence of an average node across 406 assets.

assets
406
Density
0.115
Clustering
0.344
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
SBRUSD 1 0.01304 5.30× 49.6% 20.2% TONUSD, COWUSD, AUDIOUSD, INDEXUSD, OPUSD
PAXGUSD 2 0.01144 4.64× 51.9% 23.5% UNIUSD, KAVAUSD, KEYUSD, REPUSD, HFTUSD
SGBUSD 3 0.01120 4.55× 47.4% 16.0% RAREUSD, KAVAUSD, ASMUSD, DEXTUSD, XRTUSD
AIRUSD 4 0.01068 4.33× 46.2% 19.5% JUPUSD, CSPRUSD, AXLUSD, TIMEUSD, CHZUSD
KAVAUSD 5 0.00928 3.77× 36.5% 10.6% TOKEUSD, POLSUSD, AIRUSD, XAUTUSD, RARIUSD
XAUTUSD 6 0.00918 3.73× 44.9% 27.2% UNIUSD, HFTUSD, STGUSD, 1INCHUSD, GUSD
GARIUSD 7 0.00888 3.61× 33.3% 24.9% LMWRUSD, VOXELUSD, BNCUSD, OPUSD, SHDWUSD
KEYUSD 8 0.00876 3.56× 41.2% 13.3% ALPHAUSD, WUSD, CLOUDUSD, PONKEUSD, HFTUSD
KMNOUSD 9 0.00799 3.24× 37.3% 12.8% KAVAUSD, LSETHUSD, AGLDUSD, LRDSUSD, KP3RUSD
RARIEUR 10 0.00754 3.06× 33.6% 14.8% AIRUSD, FXSUSD, PUFFERUSD, 00USD, BODENUSD

Rising influence vs 2026-01-22

SymbolPageRank PreviousChange
SBRUSD 0.013040.00406 +0.00898
KAVAUSD 0.009280.00352 +0.00576
PAXGUSD 0.011440.00633 +0.00511
AIRUSD 0.010680.00569 +0.00498
TIMEUSD 0.007520.00267 +0.00486

Falling influence

SymbolPageRank PreviousChange
NYMUSD 0.003460.01232 -0.00886
BSXUSD 0.002010.00962 -0.00761
REQUSD 0.007520.01422 -0.00669
GOMININGUSD 0.005310.01132 -0.00601
LCXUSD 0.005360.01067 -0.00531

Foreign exchange

AUDBRL was the most central name, carrying 18.12× the influence of an average node across 815 pairs.

pairs
815
Density
0.039
Clustering
0.325
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
AUDBRL 1 0.02223 18.12× 36.2% 8.0% USDRUB, NZDIDR, CHFHKD, HKDCHF, PENMXN
CADBRL 2 0.01723 14.04× 18.2% 3.7% PENCAD, RUBCHF, CHFRUB, RUBMXN, MXNRUB
KRWBRL 3 0.01623 13.23× 18.2% 4.9% CLPGBP, RONZAR, GBPCLP, ZARRON, COPUSD
PENCAD 4 0.00972 7.92× 27.8% 5.2% PENMXN, HKDTHB, THBHKD, USDCHF, GBPHTG
COPBRL 5 0.00966 7.87× 27.0% 15.5% NZDSEK, DKKINR, RONUSD, USDCZK, DKKUSD
DOPUSD 6 0.00952 7.76× 5.9% 1.1% JPYRSD, RSDGBP, GBPRSD, CHFRSD, GBPGHS
GBPMGA 7 0.00949 7.74× 5.9% 1.1% CHFRSD, RSDGBP, JPYRSD, GBPRSD, GHSGBP
GBPCLP 8 0.00943 7.68× 26.7% 7.1% PENMXN, HKDTHB, CHFUSD, HKDCHF, CNYSGD
CLPGBP 9 0.00936 7.63× 26.7% 7.1% HKDCHF, HKDTHB, PENMXN, CHFUSD, THBHKD
COPMXN 10 0.00929 7.57× 26.9% 7.2% THBUSD, HKDCHF, CHFUSD, CHFHKD, THBHKD

Rising influence vs 2026-01-22

SymbolPageRank PreviousChange
AUDBRL 0.022230.00107 +0.02116
CADBRL 0.017230.00229 +0.01493
KRWBRL 0.016230.00642 +0.00981
CHFTHB 0.009190.00026 +0.00893
PENCAD 0.009720.00160 +0.00812

Falling influence

SymbolPageRank PreviousChange
GBPXPF 0.000510.01504 -0.01453
TWDSEK 0.001040.01256 -0.01152
MYRZAR 0.000370.00803 -0.00766
BRLUSD 0.000340.00598 -0.00564
CNYSGD 0.002670.00789 -0.00523

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.