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Daily network digest

Monday, March 30, 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

RGA was the most central name, carrying 2.86× the influence of an average node across 1496 stocks.

stocks
1496
Density
0.185
Clustering
0.428
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
RGA 1 0.00191 2.86× 26.9% 13.6% TMUS, ETN, WTM, CM, BEPC
STN 2 0.00187 2.80× 30.2% 11.4% COR, SCI, MA, V, CSCO
NWS 3 0.00184 2.75× 35.1% 17.8% NNN, ICE, PG, PFG, AB
APG 4 0.00179 2.67× 28.0% 12.9% L, FTV, CVX, COR, CR
UDR 5 0.00176 2.64× 29.7% 13.8% MAIN, AFG, WES, EMR, TRP
ED 6 0.00175 2.63× 25.8% 14.6% DOX, SUN, MCK, REYN, POST
BNS 7 0.00170 2.55× 26.7% 14.0% EXC, WTRG, DKL, L, HIG
SR 8 0.00160 2.40× 27.4% 15.9% AFL, RBA, KFY, RLI, WTS
TD 9 0.00160 2.40× 24.2% 8.9% AON, PAA, EPR, BLK, SFD
MPLX 10 0.00156 2.34× 28.8% 13.1% BMO, PG, TFC, AMT, DGX

Rising influence vs 2026-03-27

SymbolPageRank PreviousChange
TKO 0.001280.00010 +0.00118
LTH 0.001220.00010 +0.00112
SSD 0.001200.00010 +0.00110
BKR 0.001200.00010 +0.00110
WK 0.001180.00010 +0.00108

Falling influence

SymbolPageRank PreviousChange
VST 0.000100.00129 -0.00119
THO 0.000100.00128 -0.00117
GPI 0.000100.00125 -0.00115
MRK 0.000100.00124 -0.00114
INTU 0.000100.00121 -0.00111

Cryptocurrency

XAUTUSD was the most central name, carrying 5.49× the influence of an average node across 403 assets.

assets
403
Density
0.122
Clustering
0.352
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
XAUTUSD 1 0.01363 5.49× 61.4% 30.6% ORCAUSD, PYTHUSD, BSXUSD, XRPUSD, ENSUSD
SBRUSD 2 0.01288 5.19× 54.5% 20.6% MORPHOUSD, TOKENUSD, C98USD, ATLASUSD, IMXUSD
PAXGUSD 3 0.01101 4.44× 55.7% 27.9% ORCAUSD, PYTHUSD, KAVAUSD, KEYUSD, DIAUSD
TIMEUSD 4 0.01062 4.28× 53.2% 14.7% NYMUSD, XRTUSD, XMRUSD, KMNOUSD, YFIUSD
LTCBTC 5 0.00950 3.83× 46.8% 6.7% PRIMEUSD, ACSUSD, SBRUSD, ABTUSD, XRTUSD
XRTUSD 6 0.00893 3.60× 41.3% 38.1% STORJUSD, SKYUSD, BODENUSD, HOPRUSD, NCTUSD
SGBUSD 7 0.00870 3.50× 40.0% 13.4% MNTUSD, XRTUSD, EULUSD, APUUSD, BNCUSD
JSTUSD 8 0.00825 3.32× 36.1% 15.7% SKYUSD, ETHAUD, POLUSD, FARMUSD, BCHEUR
SKYUSD 9 0.00792 3.19× 38.1% 22.1% LINKUSD, OCEANUSD, BODENUSD, VANRYUSD, NKNUSD
KMNOUSD 10 0.00772 3.11× 38.6% 16.2% BLASTUSD, TONUSD, AMPUSD, FISUSD, CBETHUSD

Rising influence vs 2026-03-29

SymbolPageRank PreviousChange
TIMEUSD 0.010620.00262 +0.00801
SBRUSD 0.012880.00618 +0.00670
XAUTUSD 0.013630.00819 +0.00544
SKYUSD 0.007920.00284 +0.00508
UOSUSD 0.007560.00311 +0.00445

Falling influence

SymbolPageRank PreviousChange
ELAUSD 0.003920.01485 -0.01092
MOONUSD 0.003210.01403 -0.01082
REQUSD 0.003150.01284 -0.00970
BSXUSD 0.003370.00938 -0.00600
GOMININGUSD 0.006610.01257 -0.00596

Foreign exchange

TWDSEK was the most central name, carrying 8.62× the influence of an average node across 752 pairs.

pairs
752
Density
0.034
Clustering
0.348
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
TWDSEK 1 0.01146 8.62× 5.2% 4.0% CHFRON, RONCHF, RONZAR, ZARRON, BRLSEK
GBPXPF 2 0.01141 8.58× 5.2% 10.5% TWDAUD, DKKTWD, CNYKRW, TWDCHF, USDKRW
RUBUSD 3 0.01055 7.94× 6.8% 4.0% ARSMXN, MXNARS, ARSUSD, USDARS, ARSCAD
BRLJPY 4 0.01013 7.62× 7.9% 3.6% RUBUSD, IDRCHF, RUBSEK, RUBGBP, IDRCAD
JPYBRL 5 0.00961 7.23× 8.0% 3.7% RUBUSD, IDRCHF, RUBGBP, RUBKRW, RUBSEK
ZARCNY 6 0.00954 7.18× 12.1% 0.5% INRTHB, UYUEUR, PLNILS, EUREGP
PENCAD 7 0.00863 6.49× 12.4% 1.7% INRJPY, JPYTHB, PENMXN, MYRZAR, CNYSGD
USDSCR 8 0.00761 5.72× 4.1% 2.0% RUBDKK, XAGTRY, XAURUB, EURILS, ILSPLN
MXNARS 9 0.00749 5.64× 34.9% 3.3% BRLJPY, JPYBRL, GBPXPF, TWDSEK, BRLCHF
ARSMXN 10 0.00740 5.56× 35.3% 2.8% BRLJPY, JPYBRL, TWDSEK, GBPXPF, KRWBRL

Rising influence vs 2026-03-27

SymbolPageRank PreviousChange
RUBUSD 0.010550.00075 +0.00981
TWDSEK 0.011460.00173 +0.00972
ZARCNY 0.009540.00181 +0.00773
PENCAD 0.008630.00186 +0.00678
CNYSGD 0.005950.00026 +0.00568

Falling influence

SymbolPageRank PreviousChange
ZARINR 0.000610.00801 -0.00740
DOPUSD 0.002080.00894 -0.00686
BRLCLP 0.000740.00721 -0.00647
RUBJPY 0.001730.00701 -0.00528
SEKILS 0.001420.00649 -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.