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Daily network digest

Thursday, February 5, 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 2.89× the influence of an average node across 1494 stocks.

stocks
1494
Density
0.175
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 0.00193 2.89× 28.4% 12.5% AFL, SCI, CNP, COR, V
WCN 2 0.00189 2.83× 29.7% 17.1% AB, BKH, BNL, FRT, UDR
OTTR 3 0.00180 2.68× 32.1% 18.4% KO, WRB, CLH, SUN, HIG
FRT 4 0.00173 2.59× 28.0% 12.2% EMR, WCN, BRO, ARW, HBAN
FSV 5 0.00172 2.56× 24.6% 19.2% APD, GWW, CR, INVH, WES
APG 6 0.00167 2.49× 26.7% 12.1% L, FTV, WRB, TDG, CVX
CR 7 0.00163 2.44× 25.1% 17.3% MA, MAR, CNI, AFL, ED
SO 8 0.00162 2.43× 24.2% 15.1% BCE, DOX, FSV, FHI, CPNG
ETN 9 0.00161 2.40× 34.4% 17.1% GBDC, TD, GLPI, PLD, MA
TD 10 0.00160 2.39× 23.2% 9.4% NVR, O, BPOP, SEIC, CPT

Rising influence vs 2026-02-04

SymbolPageRank PreviousChange
IRTC 0.001350.00010 +0.00125
HST 0.001330.00010 +0.00123
BKR 0.001320.00010 +0.00122
TKO 0.001310.00010 +0.00121
HASI 0.001300.00010 +0.00120

Falling influence

SymbolPageRank PreviousChange
INTU 0.000100.00147 -0.00137
IMO 0.000100.00131 -0.00121
CNC 0.000100.00131 -0.00121
MTZ 0.000100.00128 -0.00118
CHRW 0.000100.00125 -0.00115

Cryptocurrency

MVUSD was the most central name, carrying 5.11× the influence of an average node across 406 assets.

assets
406
Density
0.121
Clustering
0.359
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 0.01259 5.11× 51.6% 35.6% GNOUSD, AIRUSD, TRACUSD, RLCUSD, SGBUSD
REQUSD 2 0.01054 4.28× 51.4% 17.8% RBCUSD, SWFTCUSD, BTCAUD, QIUSD, LMWRUSD
EURRUSD 3 0.00987 4.01× 55.8% 7.9% EULUSD, TRUUSD, TAOUSD, FORTUSD, SEIEUR
XAUTUSD 4 0.00984 3.99× 52.6% 35.8% PYRUSD, XDCUSD, IOTXUSD, SEIEUR, CORECHAINUSD
CQTUSD 5 0.00949 3.85× 42.0% 23.7% BTCJPY, DOTUSD, RBCUSD, BITUSD, WBTCUSD
SRMUSD 6 0.00908 3.69× 44.9% 30.6% AAVEUSD, 1INCHUSD, LTCAUD, PAXGUSD, XAUTUSD
BSXUSD 7 0.00901 3.66× 40.7% 11.6% SEAMUSD, RARIEUR, MNTUSD, POLISUSD, MNGOUSD
LITUSD 8 0.00893 3.63× 40.7% 15.1% SEAMUSD, MXCUSD, SRMUSD, ZETACHAINUSD, TAOUSD
MXCUSD 9 0.00867 3.52× 46.4% 39.5% SPELLUSD, ETHAUD, NEOUSD, VOXELUSD, STRKUSD
LTCBTC 10 0.00837 3.40× 48.4% 14.8% CQTUSD, ORCAUSD, SGBUSD, TRXUSD, XRPBTC

Rising influence vs 2026-02-04

SymbolPageRank PreviousChange
EURRUSD 0.009870.00279 +0.00708
BSXUSD 0.009010.00225 +0.00677
MVUSD 0.012590.00582 +0.00676
SRMUSD 0.009080.00260 +0.00648
DNTUSD 0.007550.00192 +0.00563

Falling influence

SymbolPageRank PreviousChange
SBRUSD 0.003900.01311 -0.00921
GOMININGUSD 0.004190.00963 -0.00544
CSPRUSD 0.002590.00798 -0.00539
KMNOUSD 0.003280.00817 -0.00488
FLRUSD 0.002000.00652 -0.00452

Foreign exchange

GBPXPF was the most central name, carrying 8.52× the influence of an average node across 875 pairs.

pairs
875
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 8.52× 4.7% 8.8% NZDTRY, TWDDKK, TWDCAD, KRWGBP, MYRCAD
TWDSEK 2 0.00877 7.68× 13.2% 8.1% KRWBRL, GBPBRL, PENBRL, BRLJPY, CHFRON
BRLJPY 3 0.00805 7.04× 14.1% 8.6% RUBUSD, USDRUB, CADRUB, BRLUSD, RUBKRW
JPYBRL 4 0.00802 7.02× 14.3% 8.4% RUBUSD, USDRUB, RUBKRW, CADRUB, RUBCAD
EURILS 5 0.00777 6.79× 9.4% 5.7% XAUMXN, ILSPLN, XAUGBP, XAUCNY, XAUSAR
MXNARS 6 0.00594 5.20× 29.6% 1.8% BRLJPY, JPYBRL, GBPXPF, BRLCHF, TWDSEK
USDXPF 7 0.00593 5.19× 12.8% 4.1% EURTZS, TZSUSD, GBPRWF, AUDPGK, ZARMAD
MYRZAR 8 0.00586 5.13× 21.7% 0.6% GBPXPF, TWDSEK, SEKUSD, DKKPKR, BRLARS
CNYCAD 9 0.00586 5.13× 21.6% 2.1% GBPBRL, TWDSEK, GBPXPF, KRWBRL, BRLSEK
CNYSGD 10 0.00583 5.10× 21.7% 1.7% GBPBRL, GBPXPF, KRWBRL, TWDSEK, BRLSEK

Rising influence vs 2026-02-04

SymbolPageRank PreviousChange
TWDSEK 0.008770.00072 +0.00805
BRLJPY 0.008050.00159 +0.00646
JPYBRL 0.008020.00158 +0.00644
EURILS 0.007770.00186 +0.00590
MYRZAR 0.005860.00126 +0.00461

Falling influence

SymbolPageRank PreviousChange
GBPMUR 0.000550.00703 -0.00648
CNYINR 0.001310.00693 -0.00562
EURHNL 0.000280.00579 -0.00551
BRLEUR 0.000430.00569 -0.00525
SEKILS 0.000660.00573 -0.00507

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.