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Daily network digest

Thursday, September 24, 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 4.36× the influence of an average node across 1495 stocks.

stocks
1495
Density
0.218
Clustering
0.522
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 0.00292 4.36× 67.3% 16.6% SRE, EVRG, RITM, XEL, SSB
CDP 2 0.00210 3.15× 63.5% 14.6% FTS, CURB, AME, UDR, ADC
CNO 3 0.00202 3.03× 58.8% 9.6% IDA, SLAB, TROW, CQP, ETR
KO 4 0.00199 2.97× 49.5% 9.5% ET, INGR, OZK, CI, CCEP
FTS 5 0.00193 2.89× 45.4% 5.6% DIS, RS, HEI.A, TU, AMP
D 6 0.00192 2.88× 52.9% 9.0% KO, BNS, MSA, DLR, ICE
GSAT 7 0.00191 2.86× 49.4% 15.5% FTS, CBSH, ATO, ADT, BMO
PEG 8 0.00190 2.84× 52.1% 9.1% MNST, MPLX, WM, NSC, DIS
BATRA 9 0.00187 2.80× 45.2% 6.4% TDG, FIBK, DIS, CFG, IRT
UDR 10 0.00187 2.79× 50.7% 12.7% ATO, RGA, AFG, AER, TT

Volatility watch

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

SymbolScore Recent volatility
NYT 0.9038 4.17%
HHH 0.8523 4.70%
XENE 0.8498 16.37%
AMRX 0.8133 4.06%
SNX 0.7956 5.84%
MGM 0.7494 5.42%
ROL 0.7453 3.06%
GRAB 0.7444 4.42%
GRAL 0.7234 —
GEN 0.7146 4.88%

Rising influence vs 2026-09-23

SymbolPageRank PreviousChange
CRUS 0.002920.00010 +0.00281
CSW 0.001720.00010 +0.00162
ETN 0.001710.00010 +0.00161
NEU 0.001680.00010 +0.00158
ERIE 0.001660.00010 +0.00156

Falling influence

SymbolPageRank PreviousChange
MAT 0.000100.00189 -0.00179
CWEN 0.000100.00171 -0.00161
GFL 0.000100.00158 -0.00148
ADPT 0.000100.00156 -0.00146
LOAR 0.000100.00156 -0.00145

Cryptocurrency

SUKUUSD was the most central name, carrying 5.03× the influence of an average node across 342 assets.

assets
342
Density
0.142
Clustering
0.368
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
SUKUUSD 1 0.01470 5.03× 63.9% 20.5% BCHNUSD, QNTUSD, ILVUSD, LSETHUSD, NYMUSD
OCEANUSD 2 0.01266 4.33× 56.6% 33.1% DENTUSD, KASUSD, HOPRUSD, ACSUSD, ETCUSD
TRACUSD 3 0.01238 4.23× 52.2% 34.3% SPELLUSD, PONDUSD, XYOUSD, TNSRUSD, WIFEUR
HOPRUSD 4 0.01212 4.14× 49.6% 24.9% XRPUSD, POLUSD, QTUMUSD, NCTUSD, KNCUSD
SHPINGUSD 5 0.00993 3.40× 44.9% 11.7% FLOKIUSD, XRPUSD, ETHUSD, XRPAUD, XMRUSD
FISUSD 6 0.00909 3.11× 45.2% 27.6% BTCEUR, WUSD, EGLDUSD, BTCAUD, BTCUSD
NYMUSD 7 0.00904 3.09× 38.1% 17.0% LRCUSD, KARRATUSD, AMPUSD, DOTUSD, RADUSD
SWFTCUSD 8 0.00837 2.86× 43.4% 8.5% NYMUSD, XYOUSD, CTXUSD, AVTUSD, WIFUSD
QNTUSD 9 0.00816 2.79× 37.0% 10.3% LTCBTC, BTTUSD, TRACUSD, SYRUPUSD, FIDAUSD
AUDIOUSD 10 0.00802 2.74× 39.6% 7.3% TRACUSD, NYMUSD, FISUSD, ZEUSUSD, ALPHAUSD

Rising influence vs 2026-09-23

SymbolPageRank PreviousChange
TRACUSD 0.012380.00354 +0.00884
OCEANUSD 0.012660.00440 +0.00825
AUDIOUSD 0.008020.00174 +0.00628
QNTUSD 0.008160.00194 +0.00622
SHPINGUSD 0.009930.00380 +0.00613

Falling influence

SymbolPageRank PreviousChange
XAUTUSD 0.005220.01826 -0.01304
AERGOUSD 0.002280.01407 -0.01179
PAXGUSD 0.007330.01465 -0.00732
SWELLUSD 0.002520.00900 -0.00648
INDEXUSD 0.002180.00832 -0.00614

Foreign exchange

ZMWZAR was the most central name, carrying 6.84× the influence of an average node across 566 pairs.

pairs
566
Density
0.037
Clustering
0.407
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
ZMWZAR 1 0.01209 6.84× 14.9% 10.4% DOPGBP, XAUBRL, USDEGP, JPYRUB, XAUUSD
ZARNGN 2 0.00849 4.81× 9.6% 8.3% SGDZAR, NOKRUB, MXNZAR, XAUBRL, USDRUB
ZARHKD 3 0.00784 4.44× 8.8% 5.3% OMRZAR, ZARGBP, CHFZAR, INRKRW, DKKINR
EGPZAR 4 0.00756 4.28× 9.7% 8.0% SGDZAR, LKRZAR, MXNZAR, ZARSGD, ARSHKD
USDMUR 5 0.00742 4.20× 3.5% 3.0% COPMXN, CADZAR, KWDEUR, USDHUF, HUFUSD
XAUAUD 6 0.00687 3.89× 16.8% 7.1% AUDIDR, RUBJPY, BRLARS, PLNNOK, CZKNOK
UYUEUR 7 0.00679 3.85× 3.9% 1.2% GBPNPR, EURMUR, GBPBTN, USDQAR, MXNCLP
ARSAUD 8 0.00650 3.68× 13.5% 3.2% MYRIDR, THBMYR, INRMYR, HUFCAD, ZARMYR
ZARJPY 9 0.00625 3.54× 5.0% 10.6% NOKRUB, HKDBRL, CADBRL, BRLCLP, ZMWZAR
GBPUYU 10 0.00576 3.26× 5.5% 1.4% DOPUSD, DKKCOP, COPDKK, CADCOP, COPCLP

Rising influence vs 2026-09-23

SymbolPageRank PreviousChange
ZARJPY 0.006250.00035 +0.00590
USDUYU 0.005690.00134 +0.00435
EURINR 0.005670.00149 +0.00417
UYUEUR 0.006790.00294 +0.00386
EGPZAR 0.007560.00397 +0.00359

Falling influence

SymbolPageRank PreviousChange
ZARINR 0.002220.01022 -0.00799
USDEGP 0.003710.01077 -0.00706
PENCOP 0.000560.00520 -0.00465
KRWRUB 0.002760.00709 -0.00434
GHSEUR 0.001370.00539 -0.00402

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.