MULTI-SCALE ANALYSIS REVEALS DIFFERENT PATTERNS IN TECHNICAL INDICATORS OF BLOCKCHAIN

Abstract

Blockchain is a related FinTech asset but it is not the same technology. Basically, Blockchain is a decentralized and distributed digital ledger used to record Bitcoin transactions. The goal of this work is to employ multi-scale analysis to examine self-similarity in EDC Blockchain digital asset. Specifically, market technical data are examined; namely, open, high, low, and close. The resulting generalized Hurst exponent (GHE) estimates revealed that all Blockchain technical indicators exhibit multi-scale dynamics. In addition, short and long dynamics are different. It is concluded that market technical indicators associated with Blockchain provide valuable information for traders.