Working Paper

How Do Large, Sophisticated Cryptocurrency Trades Impact Broader DeFi Market Dynamics?

Abstract: Using transaction-level data for Bitcoin (BTC), Ethereum (ETH), and Wrapped Bitcoin (WBTC) matched to public “Whale Alert” signals, we examine how large-scale cryptocurrency trades shape market microstructure. Specifically, we test whether whale transactions alter the composition of active non-whale participants, trigger leader-follower herd behavior, and elevate short-term return volatility. We document a stark divergence between networks: Whale alerts heavily reshape (native) BTC participation by mobilizing previously inactive retail and institutional investors, whereas ETH and WBTC participant profiles remain highly stable on the Ethereum platform. Furthermore, non-whale investors exhibit strong leader-follower behavior in the BTC market — buying and selling in tandem with whale direction. This pattern is largely absent in the Ethereum ecosystem, except among the largest non-whale tranches. These behavioral dynamics directly mirror market stability: Whale alerts induce a brief 24-hour spike in BTC volatility (most acutely following WBTC alerts) but coincide with compressed volatility on the Ethereum platform. Additionally, these asymmetric market responses persisted across Ethereum’s transition from proof-of-work to proof-of-stake. These findings indicate persistent informational and structural asymmetries between large and small digital-asset investors.

JEL Classification: G14; G23; G28; G41;

https://doi.org/10.21799/frbp.wp.2026.42

Bibliographic Information

Provider: Federal Reserve Bank of Philadelphia

Part of Series: Working Papers

Publication Date: 2026-09-04

Number: 26-42