@Pyth Network Challenges and Risks - Tests on the Road Ahead
Despite remarkable achievements, Pyth Network also faces challenges:
· Centralization of Data Providers: Although there are many providers, data sources are still concentrated in large institutions, posing potential collusion risks.
· Dependence on New Models: While the Pull model is efficient, its long-term security and performance under extreme network congestion still require more testing.
· Intense Competition: Competitors like Chainlink are also continuously evolving, and competitive pressure remains.
· Regulatory Ambiguity: Aggregating and distributing data from traditional financial markets may trigger complex regulatory issues.