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Daily network digest

Tuesday, April 15, 2025

Directed information-flow networks for this session, covering 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: Cryptocurrency · Foreign exchange

Cryptocurrency

XRPBTC was the most central name, carrying 6.01× the influence of an average node across 214 assets.

assets
214
Density
0.093
Clustering
0.327
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
XRPBTC 1 0.02810 6.01× 50.2% 8.9% XMRUSD, AERGOUSD, OCEANUSD, GHSTUSD, KEEPUSD
KRLUSD 2 0.02590 5.54× 49.3% 7.0% TRXUSD, XRPBTC, LTCBTC, NEARUSD, TIAUSD
TRXUSD 3 0.02118 4.53× 33.3% 11.3% FOXUSD, LCXUSD, ABTUSD, BTCJPY, ALCXUSD
REPUSD 4 0.02100 4.49× 34.3% 25.4% ABTUSD, TRXUSD, CROUSD, UMAUSD, LPTUSD
ETHBTC 5 0.02009 4.30× 39.4% 22.1% MIRUSD, UOSUSD, XRPBTC, APEUSD, CVCUSD
XMRUSD 6 0.01998 4.28× 32.4% 22.5% RNDRUSD, AKTEUR, JUPUSD, ALGOUSD, API3USD
TRACUSD 7 0.01778 3.80× 39.9% 12.7% REPUSD, MKRUSD, BTCUSD, LTCBTC, ROSEUSD
LTCBTC 8 0.01758 3.76× 31.5% 19.7% TUSD, TRXUSD, FOXUSD, ARPAUSD, TRBUSD
BTRSTUSD 9 0.01751 3.75× 29.1% 20.2% CROUSD, CHREUR, BTCUSD, AVAXUSD, WBTCUSD
PNKUSD 10 0.01644 3.52× 37.1% 9.9% REPUSD, TUSD, RNDRUSD, STXUSD, LTCBTC

Rising influence vs 2025-04-14

SymbolPageRank PreviousChange
XRPBTC 0.028100.00942 +0.01868
XMRUSD 0.019980.00622 +0.01376
ETHBTC 0.020090.00708 +0.01301
REPUSD 0.021000.00891 +0.01209
LTCBTC 0.017580.00590 +0.01168

Falling influence

SymbolPageRank PreviousChange
GYENUSD 0.015720.04196 -0.02623
XAUTUSD 0.005030.02113 -0.01611
PAXGUSD 0.006960.02278 -0.01582
BTCJPY 0.011960.02194 -0.00999
HNTUSD 0.004650.01266 -0.00801

Foreign exchange

BRLEUR was the most central name, carrying 8.16× the influence of an average node across 820 pairs.

pairs
820
Density
0.065
Clustering
0.374
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
BRLEUR 1 0.00995 8.16× 1.1% 0.1% RUBJPY
RUBJPY 2 0.00910 7.46× 1.0% 0.1% USDUZS
USDUZS 3 0.00897 7.35× 0.5% 0.2% BRLEUR, COPARS
USDETB 4 0.00885 7.25× 9.6% 4.4% MXNPEN, CLPMXN, USDPGK, MXNCLP, EURMUR
CADARS 5 0.00780 6.40× 15.0% 0.0%
ARSHKD 6 0.00778 6.38× 15.0% 0.0%
CNYHKD 7 0.00778 6.38× 15.0% 0.0%
ARSSGD 8 0.00777 6.37× 15.0% 0.0%
USDARS 9 0.00777 6.37× 15.0% 0.0%
CNYSGD 10 0.00775 6.36× 16.8% 1.3% PKRZAR, GBPCAD, DKKPKR, BRLJPY, JPYBRL

Rising influence vs 2025-04-14

SymbolPageRank PreviousChange
BRLEUR 0.009950.00045 +0.00951
USDUZS 0.008970.00027 +0.00870
RUBJPY 0.009100.00047 +0.00863
CADARS 0.007800.00198 +0.00582
ARSSGD 0.007770.00195 +0.00582

Falling influence

SymbolPageRank PreviousChange
COPUSD 0.000870.00977 -0.00890
COPMXN 0.002370.01045 -0.00809
CHFTHB 0.000320.00807 -0.00776
AUDBRL 0.001010.00686 -0.00585
CLPGBP 0.000330.00612 -0.00579

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.