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Daily network digest

Thursday, October 30, 2025

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

FSV was the most central name, carrying 2.82× the influence of an average node across 1496 stocks.

stocks
1496
Density
0.167
Clustering
0.404
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
FSV 1 0.00189 2.82× 23.7% 15.8% UDR, KO, MSCI, NJR, FWONK
STN 2 0.00174 2.60× 29.2% 16.6% LIN, SSNC, CSCO, HLT, COR
WCN 3 0.00165 2.46× 24.5% 15.3% ICE, RLI, CUBE, AME, MA
CWST 4 0.00163 2.44× 31.6% 18.2% DGX, EXPO, GIS, SPG, WM
HR 5 0.00161 2.40× 27.4% 20.5% NNN, CUBE, GBDC, EXR, PPL
GIB 6 0.00159 2.37× 24.6% 19.3% CUBE, PSA, PFG, CWST, OGE
TRP 7 0.00157 2.34× 27.2% 18.6% POR, AON, DLB, EXLS, VLTO
FWONK 8 0.00156 2.34× 25.2% 15.1% DTE, AGO, NLY, LIN, MDLZ
VLTO 9 0.00156 2.34× 26.9% 16.6% PSA, AFL, SBRA, FIS, QGEN
TD 10 0.00156 2.33× 23.3% 10.9% NHI, SEIC, SEB, CNP, ADC

Rising influence vs 2025-10-29

SymbolPageRank PreviousChange
USAC 0.001550.00010 +0.00145
PRVA 0.001430.00010 +0.00132
HASI 0.001400.00010 +0.00130
ETN 0.001380.00010 +0.00128
DOCS 0.001360.00010 +0.00126

Falling influence

SymbolPageRank PreviousChange
WST 0.000100.00134 -0.00124
JAZZ 0.000100.00133 -0.00123
UTHR 0.000100.00131 -0.00121
MTZ 0.000100.00128 -0.00118
CBT 0.000100.00126 -0.00116

Cryptocurrency

PROUSD was the most central name, carrying 6.30× the influence of an average node across 397 assets.

assets
397
Density
0.103
Clustering
0.336
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
PROUSD 1 0.01586 6.30× 59.3% 18.2% PNKUSD, ASMUSD, LCXUSD, BANDUSD, ATOMUSD
GARIUSD 2 0.01516 6.02× 60.4% 19.2% INVUSD, UNFIUSD, BSXUSD, SWFTCUSD, ROOKUSD
BRICKUSD 3 0.01375 5.46× 51.3% 14.4% LTCBTC, MDTUSD, OPUSD, AAVEUSD, OXYUSD
MNGOUSD 4 0.01350 5.36× 52.0% 43.7% GNOUSD, BTRSTUSD, SDNUSD, ZRXUSD, MLNUSD
LCXUSD 5 0.01200 4.76× 46.2% 12.6% REPV2USD, ETHWUSD, BTCAUD, PIRATEUSD, LSKUSD
UNFIUSD 6 0.01096 4.35× 42.9% 9.3% TRXUSD, KAVAUSD, AERGOUSD, CHREUR, FISUSD
ASMUSD 7 0.01055 4.19× 48.5% 10.6% XMRUSD, TEERUSD, MDTUSD, PUNDIXUSD, MNTUSD
BTRSTUSD 8 0.01014 4.02× 42.2% 11.1% WBTCUSD, BTCUSD, BTCAUD, MNTUSD, XMRUSD
ROOKUSD 9 0.00987 3.92× 40.2% 29.8% PYRUSD, A8USD, HOPRUSD, MDTUSD, ELAUSD
LTCBTC 10 0.00956 3.79× 30.8% 26.3% KEEPUSD, AERGOUSD, MLNUSD, XRPBTC, DNTUSD

Rising influence vs 2025-10-29

SymbolPageRank PreviousChange
PROUSD 0.015860.00291 +0.01295
LCXUSD 0.012000.00202 +0.00998
MNGOUSD 0.013500.00527 +0.00823
ASMUSD 0.010550.00318 +0.00737
GARIUSD 0.015160.00850 +0.00666

Falling influence

SymbolPageRank PreviousChange
TEERUSD 0.002840.01090 -0.00806
CQTUSD 0.004000.01195 -0.00796
KAVAUSD 0.004600.01191 -0.00731
STRDUSD 0.003730.01019 -0.00645
ROOKUSD 0.009870.01555 -0.00568

Foreign exchange

GBPXPF was the most central name, carrying 10.52× the influence of an average node across 882 pairs.

pairs
882
Density
0.071
Clustering
0.377
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
GBPXPF 1 0.01192 10.52× 5.9% 9.1% XAGZAR, NZDTRY, XAGGBP, KRWBRL, TWDNZD
CNYHKD 2 0.01076 9.49× 0.6% 0.2% EURGHS, GHSEUR
SEKILS 3 0.00980 8.65× 9.0% 6.4% GBPBRL, KRWBRL, ILSNOK, BRLKRW, PENBRL
TWDSEK 4 0.00828 7.30× 11.7% 6.7% BRLKRW, KRWBRL, GBPBRL, TZSZAR, HUFZAR
HUFZAR 5 0.00806 7.11× 7.4% 7.0% GBPDOP, DOPGBP, NOKUSD, SGDNOK, MYRNZD
JPYBRL 6 0.00644 5.68× 14.1% 15.0% BRLUSD, CADRUB, USDRUB, RUBKRW, RUBCAD
MYRZAR 7 0.00640 5.65× 25.8% 0.3% GBPXPF, SEKILS, TWDSEK
CNYSGD 8 0.00633 5.58× 27.5% 2.8% DKKPKR, GBPXPF, USDCOP, COPMXN, GBPCAD
CNYCAD 9 0.00632 5.58× 25.7% 1.4% GBPXPF, SEKILS, GBPBRL, TWDSEK, KRWBRL
CNYINR 10 0.00631 5.56× 25.8% 1.4% BRLSEK, KRWBRL, GBPXPF, GBPBRL, TWDSEK

Rising influence vs 2025-10-29

SymbolPageRank PreviousChange
SEKILS 0.009800.00062 +0.00918
HUFZAR 0.008060.00020 +0.00786
TWDSEK 0.008280.00082 +0.00745
MYRZAR 0.006400.00104 +0.00536
KRWEUR 0.005900.00072 +0.00518

Falling influence

SymbolPageRank PreviousChange
EURMYR 0.000190.00705 -0.00686
RUBCHF 0.001550.00494 -0.00339
CADARS 0.003310.00656 -0.00325
ARSGBP 0.003270.00649 -0.00322
AUDTHB 0.000350.00346 -0.00311

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.