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Daily network digest

Tuesday, January 27, 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

PBA was the most central name, carrying 3.19× the influence of an average node across 1494 stocks.

stocks
1494
Density
0.171
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
PBA 1 0.00214 3.19× 26.4% 13.1% MCK, L, AGNC, RNR, AMH
OHI 2 0.00186 2.78× 29.5% 13.1% DPZ, CTVA, POR, O, INGR
LNT 3 0.00179 2.68× 25.7% 15.8% SNA, CNI, CTAS, BAC, BSM
CSX 4 0.00179 2.68× 24.8% 13.6% CL, V, DIS, BNL, IR
CME 5 0.00175 2.61× 30.3% 20.2% DUK, SPGI, ALLE, EPRT, OGE
GBDC 6 0.00160 2.39× 27.8% 13.3% SYK, BRK.B, DCI, JCI, MKL
EVRG 7 0.00159 2.37× 22.9% 9.0% FRT, ADC, BSM, ALLE, WSFS
CTVA 8 0.00158 2.36× 32.7% 17.0% SNA, AGO, PBA, SPG, TRNO
FHI 9 0.00158 2.36× 29.3% 12.8% DLB, SU, TROW, SEIC, BYD
COST 10 0.00158 2.35× 29.8% 11.7% VLTO, LECO, OHI, AWK, DIS

Rising influence vs 2026-01-26

SymbolPageRank PreviousChange
INTU 0.001470.00010 +0.00137
AYI 0.001400.00010 +0.00129
GEN 0.001390.00010 +0.00129
COO 0.001330.00010 +0.00123
PLNT 0.001310.00010 +0.00121

Falling influence

SymbolPageRank PreviousChange
DBX 0.000100.00144 -0.00134
FHN 0.000100.00142 -0.00132
BTSG 0.000100.00131 -0.00121
HNI 0.000100.00125 -0.00115
UNH 0.000100.00124 -0.00114

Cryptocurrency

MVUSD was the most central name, carrying 5.40× the influence of an average node across 406 assets.

assets
406
Density
0.117
Clustering
0.349
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
MVUSD 1 0.01331 5.40× 53.3% 40.0% GNOUSD, AIRUSD, RLCUSD, COMPUSD, INJUSD
CQTUSD 2 0.01064 4.32× 45.9% 19.0% DOTUSD, BTCJPY, RBCUSD, BITUSD, GFIUSD
XAUTUSD 3 0.01056 4.29× 52.8% 24.9% XDCUSD, SEIEUR, MASKUSD, IOTXUSD, FTMUSD
KAVAUSD 4 0.00957 3.89× 41.2% 9.9% RARIUSD, BLZUSD, RARIEUR, REQUSD, RENUSD
REQUSD 5 0.00944 3.83× 43.5% 24.4% RBCUSD, QIUSD, LMWRUSD, DIMOUSD, BTCJPY
MXCUSD 6 0.00941 3.82× 44.2% 35.6% PAXGUSD, SPELLUSD, BITUSD, ETHAUD, HBARUSD
LITUSD 7 0.00897 3.64× 37.8% 7.9% SEAMUSD, SRMUSD, MXCUSD, ZETACHAINUSD, MNTUSD
SRMUSD 8 0.00893 3.63× 41.7% 26.2% AAVEUSD, ETHUSD, CBETHUSD, VANRYUSD, LSETHUSD
SWEATUSD 9 0.00834 3.39× 41.0% 22.2% AAVEUSD, MIRUSD, REZUSD, SAFEUSD, PRIMEUSD
RENUSD 10 0.00789 3.20× 40.5% 14.8% OGNUSD, AKTUSD, RARIEUR, SGBUSD, ETHBTC

Rising influence vs 2026-01-26

SymbolPageRank PreviousChange
MVUSD 0.013310.00510 +0.00821
SRMUSD 0.008930.00211 +0.00682
CQTUSD 0.010640.00383 +0.00681
MXCUSD 0.009410.00308 +0.00633
BSXUSD 0.007720.00197 +0.00576

Falling influence

SymbolPageRank PreviousChange
SBRUSD 0.004970.01357 -0.00860
KMNOUSD 0.003510.00850 -0.00499
GOMININGUSD 0.004500.00947 -0.00497
FLRUSD 0.001930.00679 -0.00486
BITUSD 0.003240.00765 -0.00441

Foreign exchange

AUDBRL was the most central name, carrying 13.40× the influence of an average node across 835 pairs.

pairs
835
Density
0.048
Clustering
0.455
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 0.01605 13.40× 37.3% 9.4% NZDIDR, USDRUB, PENMXN, CNYSGD, CNYCAD
KRWBRL 2 0.01154 9.64× 22.2% 6.4% CLPGBP, GBPCLP, RONZAR, ZARRON, COPUSD
CADBRL 3 0.01127 9.41× 18.1% 4.9% RUBMXN, PENCAD, CHFRUB, MXNRUB, KRWRUB
ZARIDR 4 0.00880 7.35× 34.8% 5.4% BRLAUD, IDRUSD, AUDBRL, AUDPHP, CLPAUD
PENCAD 5 0.00800 6.68× 27.5% 6.6% USDCHF, GBPHTG, PENMXN, CNYSGD, DKKPKR
USDRUB 6 0.00797 6.66× 15.5% 13.2% ZARTRY, NZDTRY, EURTRY, DKKJPY, JPYEUR
CLPGBP 7 0.00780 6.51× 26.4% 7.8% HKDTHB, USDCHF, THBHKD, GBPHTG, CNYSGD
COPMXN 8 0.00777 6.49× 26.6% 8.4% USDCHF, THBHKD, GBPHTG, THBUSD, HKDTHB
GBPCLP 9 0.00770 6.43× 26.4% 8.4% THBUSD, USDCHF, HKDTHB, GBPHTG, THBHKD
COPBRL 10 0.00768 6.41× 26.5% 17.1% NZDSEK, CZKUSD, HKDEUR, EURUSD, USDEUR

Rising influence vs 2026-01-26

SymbolPageRank PreviousChange
AUDBRL 0.016050.00150 +0.01455
CADBRL 0.011270.00280 +0.00847
ZARIDR 0.008800.00145 +0.00735
CHFTHB 0.007560.00024 +0.00732
KRWBRL 0.011540.00498 +0.00656

Falling influence

SymbolPageRank PreviousChange
GBPXPF 0.000430.01023 -0.00980
TWDSEK 0.001170.00914 -0.00798
EURILS 0.001840.00854 -0.00670
MYRZAR 0.000350.00633 -0.00598
BRLUSD 0.000400.00487 -0.00447

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.