catchfire.finance All digests

Daily network digest

Wednesday, October 1, 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 2.60× the influence of an average node across 1493 stocks.

stocks
1493
Density
0.175
Clustering
0.416
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 0.00174 2.60× 24.5% 15.8% HTGC, ITW, UDR, NBIX, TEL
FRT 2 0.00170 2.54× 25.4% 7.2% BIPC, AVB, HASI, BMO, ADT
VRSK 3 0.00162 2.42× 27.7% 17.1% FRT, MCD, RY, CPT, EXC
HR 4 0.00159 2.37× 30.9% 23.5% EXPD, WAB, FOX, PODD, SLF
EOG 5 0.00159 2.37× 29.4% 15.3% SLF, TOWN, NDSN, BKH, FCN
NDSN 6 0.00157 2.34× 27.1% 7.2% CLX, BK, HR, CDP, EHC
CTAS 7 0.00156 2.33× 29.6% 12.9% FSV, MAIN, KO, LOPE, ZTS
VLTO 8 0.00154 2.30× 28.1% 18.4% FIS, ES, GGG, LH, AVT
CWST 9 0.00152 2.28× 32.0% 18.0% FWONK, GVA, PECO, ED, VRSK
TD 10 0.00148 2.21× 23.9% 10.3% WAB, HTGC, CNP, CCK, ADC

Rising influence vs 2025-09-30

SymbolPageRank PreviousChange
ULTA 0.001460.00010 +0.00136
USAC 0.001420.00010 +0.00132
BKR 0.001410.00010 +0.00131
HASI 0.001410.00010 +0.00131
STLA 0.001390.00010 +0.00129

Falling influence

SymbolPageRank PreviousChange
CBT 0.000100.00132 -0.00122
GTX 0.000100.00130 -0.00120
TNET 0.000100.00130 -0.00120
UTHR 0.000100.00128 -0.00118
WFC 0.000100.00121 -0.00111

Cryptocurrency

PNKUSD was the most central name, carrying 11.90× the influence of an average node across 219 assets.

assets
219
Density
0.079
Clustering
0.332
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
PNKUSD 1 0.05436 11.90× 70.2% 15.6% DNTUSD, XRPBTC, SWFTCUSD, XDCUSD, BCHUSD
KAVAUSD 2 0.03105 6.80× 56.4% 11.0% XDCUSD, PNKUSD, BTRSTUSD, UOSUSD, SRMUSD
XMRUSD 3 0.01869 4.09× 25.7% 14.7% FORTHUSD, JTOUSD, HNTUSD, DSHUSD, TRACUSD
TRXUSD 4 0.01824 3.99× 39.0% 12.8% BTCAUD, KEEPUSD, PUNDIXUSD, BTCEUR, BTCUSD
ELAUSD 5 0.01823 3.99× 31.2% 30.3% PUNDIXUSD, DOGEUSD, EGLDUSD, FLOWUSD, ALPHAUSD
WBTCUSD 6 0.01757 3.85× 33.5% 10.1% PNKUSD, LOKAUSD, CTSIUSD, FARMUSD, KRLUSD
KRLUSD 7 0.01735 3.80× 35.3% 3.2% XMRUSD, PNKUSD, MKRUSD, ETHBTC, UOSUSD
REPUSD 8 0.01716 3.76× 33.0% 7.3% LTCEUR, TRXUSD, LTCUSD, LITUSD, METISUSD
RARIUSD 9 0.01637 3.59× 34.9% 6.9% SRMUSD, PNKUSD, FARMUSD, TIAUSD, REPUSD
SGBUSD 10 0.01620 3.55× 35.8% 6.9% OXYUSD, KAVAUSD, ICXUSD, XAUTUSD, OMGUSD

Rising influence vs 2025-09-30

SymbolPageRank PreviousChange
PNKUSD 0.054360.00853 +0.04582
KAVAUSD 0.031050.01317 +0.01788
RARIUSD 0.016370.00396 +0.01241
SGBUSD 0.016200.00509 +0.01112
REPUSD 0.017160.00673 +0.01043

Falling influence

SymbolPageRank PreviousChange
LTCBTC 0.006530.02665 -0.02013
ASMUSD 0.005470.02220 -0.01673
BTRSTUSD 0.010530.02591 -0.01539
LCXUSD 0.011960.02629 -0.01433
KEEPUSD 0.008200.02114 -0.01294

Foreign exchange

DOPUSD was the most central name, carrying 8.73× the influence of an average node across 851 pairs.

pairs
851
Density
0.085
Clustering
0.389
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
DOPUSD 1 0.01025 8.73× 3.6% 1.1% GBPRSD, JPYRSD, CHFRSD, RSDGBP, GHSUSD
GBPXPF 2 0.01002 8.52× 7.4% 7.8% XAGSAR, TWDMYR, TWDKRW, TWDHKD, TWDCHF
CNYHKD 3 0.00858 7.30× 1.4% 0.1% EURMYR
EURMYR 4 0.00844 7.18× 0.4% 0.6% EURZMW, EURJMD, EURHTG, EURGHS, GHSEUR
CNYINR 5 0.00654 5.56× 16.1% 0.2% GBPXPF, ARSEUR
CADARS 6 0.00653 5.56× 23.6% 2.2% XAGKRW, GBPXPF, CHFRUB, RUBCHF, SEKUSD
ARSSGD 7 0.00652 5.55× 24.0% 2.6% XAGINR, GBPXPF, XAGTRY, XAGKRW, XAGGBP
USDARS 8 0.00648 5.51× 20.4% 3.1% XAGTRY, XAGINR, GBPXPF, XAGKRW, XAGGBP
ARSHKD 9 0.00647 5.50× 21.3% 3.5% XAGINR, XAGTRY, XAGKRW, GBPXPF, XAGGBP
XAGINR 10 0.00646 5.50× 8.4% 13.6% KRWMYR, INRSEK, PENCAD, USDKRW, KRWINR

Rising influence vs 2025-09-30

SymbolPageRank PreviousChange
GBPXPF 0.010020.00035 +0.00966
EURMYR 0.008440.00020 +0.00824
XAGINR 0.006460.00091 +0.00555
DOPUSD 0.010250.00506 +0.00519
SGDARS 0.006380.00147 +0.00492

Falling influence

SymbolPageRank PreviousChange
ARSEUR 0.005780.02310 -0.01732
AUDBRL 0.001670.00991 -0.00824
USDCLP 0.000510.00717 -0.00666
KRWBRL 0.001750.00725 -0.00551
CADBRL 0.000980.00645 -0.00547

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.