The author explores the optimization problem of setting up trading pairs in the cryptocurrency market using a two-stage process involving eigenvalue decomposition and a branch and bound method. The goal is to achieve decentralized trading pair settings while balancing efficiency.
The author argues that new indicators based on blockchain metrics can provide a statistical advantage in cryptocurrency trading, particularly in predicting Bitcoin asset prices.