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Daily network digest

Tuesday, February 10, 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 3.17× the influence of an average node across 1495 stocks.

stocks
1495
Density
0.175
Clustering
0.418
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 0.00212 3.17× 29.6% 11.6% SCI, COR, AFL, AMT, MA
CSQ 2 0.00190 2.84× 27.0% 4.8% EWBC, PFE, HRB, PPG, ESNT
OTTR 3 0.00182 2.73× 32.3% 17.9% KO, WRB, HIG, CNP, CLH
APG 4 0.00180 2.69× 28.5% 11.6% L, TDG, CVX, WRB, TRV
WCN 5 0.00172 2.57× 27.1% 15.9% AB, TRP, BKH, ICE, PPL
FRT 6 0.00171 2.55× 27.8% 11.8% EMR, WCN, TDY, RGA, ADT
TD 7 0.00164 2.45× 22.4% 9.4% AON, O, BPOP, NVR, TYL
ETN 8 0.00164 2.44× 35.4% 15.7% TD, GBDC, GLPI, GGG, PJT
HASI 9 0.00160 2.39× 35.9% 17.0% ECL, MSFT, EQR, CNA, TRV
EMR 10 0.00158 2.37× 29.0% 12.8% CPK, TRNO, EWBC, ES, MSI

Rising influence vs 2026-02-09

SymbolPageRank PreviousChange
TKO 0.001320.00010 +0.00122
HST 0.001320.00010 +0.00121
BKR 0.001310.00010 +0.00121
IRTC 0.001300.00010 +0.00120
SSD 0.001280.00010 +0.00118

Falling influence

SymbolPageRank PreviousChange
INTU 0.000100.00142 -0.00132
IMO 0.000100.00126 -0.00116
CNC 0.000100.00124 -0.00114
MTZ 0.000100.00123 -0.00112
MKC 0.000100.00122 -0.00112

Cryptocurrency

RBCUSD was the most central name, carrying 6.33× the influence of an average node across 409 assets.

assets
409
Density
0.124
Clustering
0.365
Diameter
3

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 0.01549 6.33× 61.3% 25.5% EIGENUSD, FIDAUSD, XTZUSD, BLASTUSD, XDCUSD
SBRUSD 2 0.01229 5.03× 57.4% 22.5% COWUSD, RBCUSD, RARIEUR, INDEXUSD, TONUSD
AIRUSD 3 0.01141 4.67× 58.3% 25.2% AUDIOUSD, CSPRUSD, TIMEUSD, TRXUSD, CHZUSD
XAUTUSD 4 0.00936 3.83× 53.7% 26.7% HFTUSD, ORCAUSD, ENSUSD, KEYUSD, HNTUSD
PAXGUSD 5 0.00929 3.80× 52.5% 25.0% ORCAUSD, UNIUSD, HFTUSD, KEYUSD, ENSUSD
REPUSD 6 0.00903 3.69× 45.6% 15.7% CQTUSD, SHPINGUSD, MVUSD, RARIEUR, NANOUSD
BNCUSD 7 0.00870 3.56× 43.4% 24.3% FLRUSD, UNFIUSD, ALCXUSD, UOSUSD, ENJUSD
GOMININGUSD 8 0.00865 3.54× 43.9% 23.5% BANDUSD, DIAUSD, AKTUSD, KRLUSD, AVTUSD
SGBUSD 9 0.00777 3.18× 35.8% 12.5% RAREUSD, ASMUSD, UMAUSD, WHBTUSD, PAXGUSD
UOSUSD 10 0.00761 3.11× 35.0% 12.5% GSTUSD, RBCUSD, API3USD, XRPUSD, TOKEUSD

Rising influence vs 2026-02-09

SymbolPageRank PreviousChange
RBCUSD 0.015490.00665 +0.00884
SBRUSD 0.012290.00517 +0.00712
AIRUSD 0.011410.00530 +0.00611
CSPRUSD 0.007440.00282 +0.00462
TIMEUSD 0.007050.00257 +0.00448

Falling influence

SymbolPageRank PreviousChange
REQUSD 0.006210.01741 -0.01119
MOONUSD 0.002470.01110 -0.00863
ELAUSD 0.004710.01218 -0.00747
BSXUSD 0.002200.00875 -0.00656
NYMUSD 0.003550.01002 -0.00647

Foreign exchange

AUDBRL was the most central name, carrying 13.42× the influence of an average node across 826 pairs.

pairs
826
Density
0.049
Clustering
0.453
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 0.01625 13.42× 37.9% 9.7% USDRUB, NZDIDR, USDCHF, THBUSD, PENMXN
KRWBRL 2 0.01138 9.40× 21.9% 6.3% GBPCLP, RONZAR, ZARRON, CLPGBP, COPUSD
CADBRL 3 0.01130 9.34× 18.3% 5.0% MXNRUB, PENCAD, RUBCHF, CHFRUB, KRWRUB
PENCAD 4 0.00861 7.11× 27.6% 7.0% USDRUB, CNYCAD, CNYSGD, THBUSD, USDCHF
COPMXN 5 0.00848 7.00× 26.9% 8.8% THBUSD, HKDTHB, PENMXN, CNYCAD, NZDSEK
GBPCLP 6 0.00836 6.90× 26.7% 8.4% HKDTHB, THBHKD, GBPHTG, USDCHF, CNYSGD
CLPGBP 7 0.00833 6.88× 26.4% 8.5% THBUSD, GBPHTG, THBHKD, PENMXN, USDCHF
COPBRL 8 0.00824 6.81× 26.8% 17.2% NZDSEK, USDCZK, DKKHKD, USDISK, DKKUSD
COPUSD 9 0.00819 6.76× 26.5% 8.5% HKDTHB, USDCHF, THBHKD, GBPHTG, CNYSGD
DOPUSD 10 0.00815 6.73× 6.7% 2.2% JPYRSD, RSDGBP, GBPRSD, CHFRSD, GHSUSD

Rising influence vs 2026-02-09

SymbolPageRank PreviousChange
AUDBRL 0.016250.00148 +0.01476
CADBRL 0.011300.00277 +0.00853
CHFTHB 0.007440.00048 +0.00696
KRWBRL 0.011380.00462 +0.00676
GBPCLP 0.008360.00196 +0.00639

Falling influence

SymbolPageRank PreviousChange
GBPXPF 0.000330.00973 -0.00940
TWDSEK 0.001030.00831 -0.00727
MXNCOP 0.001080.00736 -0.00628
EURILS 0.001840.00766 -0.00582
MYRZAR 0.000340.00566 -0.00531

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.