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Daily network digest

Friday, August 28, 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

CNO was the most central name, carrying 3.07× the influence of an average node across 1495 stocks.

stocks
1495
Density
0.229
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
CNO 1 0.00206 3.07× 58.8% 9.2% TROW, CZR, L, IDA, YUM
COST 2 0.00205 3.07× 52.6% 11.9% EMA, PG, PECO, WBD, CZR
PNW 3 0.00192 2.87× 49.3% 9.2% NWSA, SCHW, TU, WTS, AIZ
PEN 4 0.00191 2.85× 50.1% 6.3% GBTG, ALLE, KMB, FER, STT
CPT 5 0.00189 2.82× 52.7% 12.4% ADT, HBAN, SR, MFC, AAUC
TXNM 6 0.00186 2.79× 44.8% 0.0%
EG 7 0.00184 2.76× 61.4% 15.5% FTV, CLH, APG, EPD, PPL
STWD 8 0.00183 2.74× 52.4% 5.4% L, ATMU, IEP, CQP, UFPI
LECO 9 0.00182 2.72× 56.9% 14.0% APG, CNO, HEI.A, CTVA, KO
AEP 10 0.00181 2.71× 42.4% 12.3% TRNO, CZR, WCN, SKT, UNP

Volatility watch

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

SymbolScore Recent volatility
PYPL 0.7714 6.10%
EIX 0.7617 3.01%
PCG 0.7533 4.10%
ACM 0.7049 3.10%
WMT 0.7033 1.73%
MARA 0.6733 7.07%
HQY 0.6590 5.46%
AXTI 0.6574 6.97%
NVDA 0.6443 5.19%
FCFS 0.6410 3.80%

Rising influence vs 2026-08-27

SymbolPageRank PreviousChange
CSW 0.001720.00010 +0.00162
BF.A 0.001530.00010 +0.00143
MORN 0.001520.00010 +0.00142
TFPM 0.001510.00010 +0.00141
MAC 0.001500.00010 +0.00140

Falling influence

SymbolPageRank PreviousChange
LLYVA 0.000100.00159 -0.00149
REGN 0.000100.00154 -0.00144
WSM 0.000100.00150 -0.00139
IVZ 0.000100.00148 -0.00137
VST 0.000100.00144 -0.00134

Cryptocurrency

SUKUUSD was the most central name, carrying 4.73× the influence of an average node across 353 assets.

assets
353
Density
0.149
Clustering
0.386
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
SUKUUSD 1 0.01340 4.73× 60.5% 17.6% EULUSD, CPOOLUSD, NANOUSD, YFIUSD, PYRUSD
HOPRUSD 2 0.01321 4.66× 60.8% 28.1% NCTUSD, AMPUSD, GFIUSD, XRPAUD, FLOKIUSD
ACAUSD 3 0.01159 4.09× 58.2% 21.3% ENJUSD, CHZUSD, DRVUSD, RARIEUR, LCXUSD
OCEANUSD 4 0.01148 4.05× 59.1% 32.7% ACSUSD, DENTUSD, SPAUSD, MASKUSD, SHPINGUSD
TRACUSD 5 0.01140 4.02× 54.8% 34.4% FLRUSD, ARKMUSD, SPELLUSD, XDCUSD, PONDUSD
FISUSD 6 0.01054 3.72× 54.3% 24.7% BTCEUR, WUSD, ZROUSD, BTCAUD, EGLDUSD
SWFTCUSD 7 0.00806 2.84× 44.3% 10.5% ZETAUSD, CTXUSD, ZETACHAINUSD, NYMUSD, POLSUSD
XMRUSD 8 0.00803 2.83× 37.5% 17.9% DOGEUSD, MORPHOUSD, DNTUSD, NYMUSD, TRACUSD
SHPINGUSD 9 0.00794 2.80× 39.2% 14.5% FLOKIUSD, XMRUSD, AVAXUSD, FORTHUSD, ETHUSD
PAXGUSD 10 0.00772 2.72× 48.6% 25.6% SAGAUSD, SPELLUSD, SAMOUSD, CVCUSD, STORJUSD

Rising influence vs 2026-08-27

SymbolPageRank PreviousChange
OCEANUSD 0.011480.00293 +0.00856
TRACUSD 0.011400.00363 +0.00777
ACAUSD 0.011590.00569 +0.00590
AUDIOUSD 0.007440.00209 +0.00535
HOPRUSD 0.013210.00798 +0.00523

Falling influence

SymbolPageRank PreviousChange
XAUTUSD 0.006080.02266 -0.01658
AERGOUSD 0.002520.01379 -0.01127
PAXGUSD 0.007720.01655 -0.00884
INDEXUSD 0.002570.00737 -0.00480
UNFIUSD 0.003660.00839 -0.00474

Foreign exchange

USDEGP was the most central name, carrying 10.05× the influence of an average node across 550 pairs.

pairs
550
Density
0.034
Clustering
0.380
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 0.01827 10.05× 9.1% 1.5% SEKINR, ZARINR, ZARTRY, NOKINR, ZARMYR
RUBUSD 2 0.00911 5.01× 10.0% 6.9% XAUBRL, XAURUB, XAGUSD, GBPINR, HUFPLN
COPCAD 3 0.00907 4.99× 6.4% 4.2% USDUGX, PENCLP, CLPCNY, SZLGBP, USDUYU
ARSCOP 4 0.00845 4.65× 3.6% 3.1% CDFGBP, ARSPEN, BWPGBP, GBPCDF, CDFUSD
KRWTHB 5 0.00777 4.27× 5.6% 1.5% THBINR, CHFINR, XAUINR, JPYINR, XAUEUR
TZSZAR 6 0.00745 4.10× 12.4% 11.3% ZARAED, LKRZAR, ZARTRY, KRWINR, ZARSGD
XAGARS 7 0.00745 4.10× 11.3% 6.7% LKRZAR, AEDZAR, OMRZAR, EGPZAR, TZSZAR
RUBCAD 8 0.00702 3.86× 11.3% 4.6% XAUJPY, DKKHUF, MURUSD, MUREUR, AUDMAD
XAUEUR 9 0.00663 3.64× 10.6% 5.3% USDSCR, DKKRUB, KRWTHB, CHFRUB, THBINR
LKRZAR 10 0.00661 3.63× 16.4% 9.7% ZARAED, ZARTRY, ZARNGN, KRWINR, SEKINR

Rising influence vs 2026-08-27

SymbolPageRank PreviousChange
USDEGP 0.018270.00378 +0.01449
COPCAD 0.009070.00286 +0.00621
RUBUSD 0.009110.00311 +0.00599
ARSCOP 0.008450.00262 +0.00583
KRWTHB 0.007770.00248 +0.00529

Falling influence

SymbolPageRank PreviousChange
ZMWZAR 0.003850.01236 -0.00851
USDMUR 0.001980.00767 -0.00569
EGPZAR 0.001900.00748 -0.00558
ARSAUD 0.001680.00656 -0.00488
ZARNGN 0.002910.00758 -0.00467

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.