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Daily network digest

Monday, February 9, 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 2.97× the influence of an average node across 1494 stocks.

stocks
1494
Density
0.172
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
TGNA 1 0.00199 2.97× 30.3% 13.4% AEP, XEL, CP, CPB, SYK
PBA 2 0.00185 2.77× 25.5% 14.5% L, MCK, PCAR, O, AGNC
IDA 3 0.00171 2.55× 26.3% 16.1% FOXA, DCI, TRP, ZM, WMB
STE 4 0.00165 2.46× 28.3% 13.9% RPRX, EXPD, EQR, FER, GATX
CSX 5 0.00164 2.45× 24.0% 14.5% IDA, ORI, CL, UPS, IR
AEP 6 0.00158 2.37× 23.0% 19.2% UNP, GFL, AIZ, EGP, CHD
OHI 7 0.00158 2.36× 25.9% 13.3% INGR, DPZ, AER, BKH, EMR
BMO 8 0.00157 2.35× 25.7% 13.5% MTG, CNA, SPGI, DIS, CSQ
CMS 9 0.00156 2.34× 24.4% 11.6% CLX, MSFT, ABCB, OGS, CPB
BNS 10 0.00156 2.33× 24.6% 8.2% MSGS, TRV, SRE, AMP, PBA

Rising influence vs 2026-02-06

SymbolPageRank PreviousChange
INTU 0.001420.00010 +0.00132
COO 0.001320.00010 +0.00122
PLNT 0.001300.00010 +0.00120
WAT 0.001250.00010 +0.00115
CNC 0.001240.00010 +0.00114

Falling influence

SymbolPageRank PreviousChange
DBX 0.000100.00141 -0.00131
DJT 0.000100.00127 -0.00117
BTSG 0.000100.00123 -0.00113
HNI 0.000100.00123 -0.00113
BKR 0.000100.00123 -0.00113

Cryptocurrency

REQUSD was the most central name, carrying 7.10× the influence of an average node across 408 assets.

assets
408
Density
0.120
Clustering
0.374
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
REQUSD 1 0.01741 7.10× 64.6% 14.3% ELAUSD, PAXGUSD, NEONUSD, TUSD, JTOUSD
ELAUSD 2 0.01218 4.97× 53.6% 27.0% PLUUSD, BTTUSD, HNTUSD, SAMOUSD, BODENUSD
SWEATUSD 3 0.01120 4.57× 54.8% 10.1% NCTUSD, MNGOUSD, SOLUSD, MSOLUSD, SGBUSD
MOONUSD 4 0.01110 4.53× 50.9% 9.8% KAVAUSD, KRLUSD, STRDUSD, BANDUSD, NEXOUSD
MNGOUSD 5 0.01103 4.50× 48.6% 31.0% CELRUSD, NANOUSD, GARIUSD, EGLDUSD, ATLASUSD
GARIUSD 6 0.01064 4.34× 50.1% 24.1% INVUSD, RBCUSD, NYMUSD, BEAMUSD, BLURUSD
XAUTUSD 7 0.01017 4.15× 53.6% 27.8% DEGENUSD, TRUUSD, XLMUSD, BCHEUR, HFTUSD
NYMUSD 8 0.01002 4.09× 49.1% 16.2% PUFFERUSD, ETCUSD, REPV2USD, CQTUSD, BTCJPY
INVUSD 9 0.00975 3.98× 51.6% 16.7% TUSD, JUNOUSD, REQUSD, GUSD, HDXUSD
NEXOUSD 10 0.00898 3.66× 38.6% 16.2% NKNUSD, FLRUSD, GARIUSD, MASKUSD, SBRUSD

Rising influence vs 2026-02-08

SymbolPageRank PreviousChange
ELAUSD 0.012180.00322 +0.00896
MOONUSD 0.011100.00306 +0.00804
REQUSD 0.017410.01040 +0.00701
GARIUSD 0.010640.00434 +0.00630
BNCUSD 0.008440.00239 +0.00605

Falling influence

SymbolPageRank PreviousChange
SRMUSD 0.001030.00910 -0.00807
MVUSD 0.004030.01201 -0.00798
EURRUSD 0.002280.00952 -0.00724
LITUSD 0.002760.00856 -0.00580
DNTUSD 0.002750.00847 -0.00572

Foreign exchange

GBPXPF was the most central name, carrying 8.49× the influence of an average node across 873 pairs.

pairs
873
Density
0.063
Clustering
0.503
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
GBPXPF 1 0.00973 8.49× 4.5% 8.7% NZDTRY, EURTWD, TWDCHF, BRLSEK, SGDTWD
TWDSEK 2 0.00831 7.25× 12.8% 7.8% GBPBRL, KRWBRL, CHFRON, PENBRL, ZARRON
BRLJPY 3 0.00774 6.76× 14.3% 8.9% USDRUB, CADRUB, RUBKRW, RUBCAD, RUBUSD
EURILS 4 0.00766 6.68× 9.3% 5.4% XAUMXN, ILSPLN, XAUGBP, XAUCNY, XAUSAR
JPYBRL 5 0.00755 6.60× 14.3% 8.1% RUBKRW, RUBUSD, USDRUB, CADRUB, BRLUSD
MXNCOP 6 0.00736 6.43× 9.9% 10.3% UYUGBP, GBPUYU, USDTZS, USDALL, GBPCDF
USDXPF 7 0.00622 5.43× 12.6% 4.2% EURTZS, ZARMAD, TZSUSD, TZSGBP, RWFGBP
MXNARS 8 0.00578 5.04× 30.3% 2.1% BRLJPY, JPYBRL, GBPXPF, TWDSEK, BRLCHF
MYRZAR 9 0.00566 4.94× 21.7% 0.7% GBPXPF, TWDSEK, DKKPKR, SEKUSD, BRLARS
CNYSGD 10 0.00565 4.93× 21.7% 2.2% GBPXPF, TWDSEK, BRLSEK, KRWBRL, GBPBRL

Rising influence vs 2026-02-06

SymbolPageRank PreviousChange
GBPXPF 0.009730.00034 +0.00939
TWDSEK 0.008310.00104 +0.00726
MXNCOP 0.007360.00098 +0.00638
EURILS 0.007660.00201 +0.00565
MYRZAR 0.005660.00033 +0.00533

Falling influence

SymbolPageRank PreviousChange
AUDBRL 0.001480.01632 -0.01483
CADBRL 0.002770.01137 -0.00860
CHFTHB 0.000480.00728 -0.00680
KRWBRL 0.004620.01133 -0.00670
PENCAD 0.002270.00858 -0.00631

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.