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Daily network digest

Friday, October 23, 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

CRUS was the most central name, carrying 4.34× the influence of an average node across 1497 stocks.

stocks
1497
Density
0.220
Clustering
0.518
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
CRUS 1 0.00290 4.34× 67.4% 11.2% XEL, THG, REXR, BATRA, PPL
ED 2 0.00199 2.98× 54.5% 6.7% MAA, SEIC, AEG, AMH, IEX
COST 3 0.00198 2.96× 53.2% 12.0% RY, AES, ATO, RPRX, SBRA
BIP 4 0.00191 2.86× 62.2% 13.2% VFS, SBRA, D, BSM, XEL
ATO 5 0.00190 2.84× 48.8% 7.6% PNC, HEI.A, FCNCA, TOWN, FITB
ARCC 6 0.00189 2.83× 48.5% 9.4% CI, OHI, SCHW, ATR, ALC
MPLX 7 0.00189 2.83× 45.8% 9.8% MFC, EGP, BCO, EXR, CTVA
HEI.A 8 0.00189 2.82× 61.8% 19.9% KVUE, INGR, BNS, PAA, EMA
BXSL 9 0.00188 2.82× 62.2% 15.3% BMO, PFE, PKG, BCPC, PEG
UDR 10 0.00188 2.82× 53.5% 11.7% AVA, AFG, BSM, BIP, MWA

Volatility watch

Highest modelled probability of elevated volatility ahead. A research output, not a directional call.

SymbolScore Recent volatility
ACA 0.9838 —
LKQ 0.9586 11.88%
MSM 0.9468 7.95%
FCFS 0.9386 7.14%
FLG 0.9083 5.01%
MHO 0.9004 5.89%
T 0.8917 5.08%
CWST 0.8896 4.88%
SLM 0.8851 5.99%
BXP 0.8797 2.64%

Rising influence vs 2026-10-22

SymbolPageRank PreviousChange
CRUS 0.002900.00010 +0.00280
BEP 0.001860.00010 +0.00176
HWM 0.001850.00010 +0.00175
SBRA 0.001820.00010 +0.00172
MSM 0.001700.00010 +0.00160

Falling influence

SymbolPageRank PreviousChange
PBA 0.000100.00180 -0.00170
CMCSA 0.000100.00161 -0.00151
IONS 0.000100.00161 -0.00151
MAT 0.000100.00160 -0.00150
OMC 0.000100.00154 -0.00144

Cryptocurrency

STGUSD was the most central name, carrying 5.03× the influence of an average node across 341 assets.

assets
341
Density
0.159
Clustering
0.388
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
STGUSD 1 0.01476 5.03× 71.8% 20.9% LRCUSD, ILVUSD, AGLDUSD, SKYUSD, RENUSD
AERGOUSD 2 0.01288 4.39× 60.9% 17.6% PONDUSD, PRCLUSD, GSTUSD, NYMUSD, CELRUSD
XMRUSD 3 0.01064 3.63× 50.6% 14.7% PHAUSD, ANKRUSD, SKYUSD, MATHUSD, GLMRUSD
LTCBTC 4 0.00988 3.37× 50.3% 14.4% ELAUSD, GSTUSD, PNUTUSD, SHDWUSD, POLSUSD
ZEXUSD 5 0.00963 3.28× 56.2% 32.6% ARKMUSD, NANOUSD, ABTUSD, GSTUSD, POLUSD
XAUTUSD 6 0.00959 3.27× 54.7% 16.8% LIFIIIUSD, LSKUSD, INDEXUSD, HNTUSD, MLNUSD
UNFIUSD 7 0.00901 3.07× 49.4% 34.4% JASMYUSD, SCUSD, FXSUSD, ENSUSD, RAYUSD
FISUSD 8 0.00798 2.72× 46.8% 12.9% CTXUSD, XAUTUSD, LTCBTC, PAXGUSD, ZROUSD
POLSUSD 9 0.00758 2.58× 40.0% 11.8% MNDEUSD, SHIBUSD, DIAUSD, INVUSD, AEVOUSD
SUKUUSD 10 0.00736 2.51× 43.2% 27.1% XMRUSD, EWTUSD, APEUSD, RAREUSD, RAYUSD

Rising influence vs 2026-10-22

SymbolPageRank PreviousChange
STGUSD 0.014760.00394 +0.01082
AERGOUSD 0.012880.00456 +0.00832
BLZUSD 0.007070.00232 +0.00475
XMRUSD 0.010640.00596 +0.00468
GSTUSD 0.006530.00189 +0.00465

Falling influence

SymbolPageRank PreviousChange
MLNUSD 0.003550.01069 -0.00714
ELAUSD 0.004670.01023 -0.00556
GOMININGUSD 0.002560.00780 -0.00523
FISUSD 0.007980.01277 -0.00480
CHZUSD 0.001890.00638 -0.00449

Foreign exchange

USDEGP was the most central name, carrying 9.83× the influence of an average node across 559 pairs.

pairs
559
Density
0.031
Clustering
0.357
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
USDEGP 1 0.01759 9.83× 9.3% 1.4% NOKINR, SEKINR, ZARTRY, ZARINR, INRSEK
KRWTHB 2 0.00920 5.14× 5.9% 1.6% THBINR, XAUINR, CHFINR, JPYINR, XAUMXN
LKRZAR 3 0.00807 4.51× 17.9% 7.7% ZARAED, ZARTRY, ZARNGN, KRWINR, SEKINR
XAGARS 4 0.00710 3.97× 6.1% 6.6% LKRZAR, AEDZAR, OMRZAR, TZSZAR, EGPZAR
COPMXN 5 0.00674 3.77× 9.1% 3.4% BRLKRW, HUFUSD, BRLCAD, GBPRUB, ZAREGP
TZSZAR 6 0.00670 3.75× 11.1% 11.3% ZARAED, KRWINR, ZARTRY, LKRZAR, ZARSGD
RUBCAD 7 0.00658 3.68× 11.3% 3.8% XAUJPY, PENCAD, DKKHUF, MXNARS, GBPMUR
AEDZAR 8 0.00656 3.67× 10.0% 8.1% ZARTRY, ZARAED, ZARNGN, SEKINR, ZARHKD
OMRZAR 9 0.00645 3.60× 9.9% 7.7% ZARTRY, ZARAED, ZARNGN, SEKINR, NOKINR
XAUJPY 10 0.00640 3.58× 6.8% 7.5% RUBCAD, ARSCHF, USDDOP, MXNBRL, KRWTHB

Rising influence vs 2026-10-22

SymbolPageRank PreviousChange
USDEGP 0.017590.00403 +0.01356
KRWTHB 0.009200.00242 +0.00678
LKRZAR 0.008070.00277 +0.00530
XAGARS 0.007100.00208 +0.00501
AEDZAR 0.006560.00196 +0.00460

Falling influence

SymbolPageRank PreviousChange
ZMWZAR 0.003630.01383 -0.01020
ZARHKD 0.001530.00836 -0.00683
ZARJPY 0.000610.00720 -0.00659
USDMUR 0.002330.00816 -0.00584
EURINR 0.001040.00606 -0.00502

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.