Detecting unusual trading patterns on cryptocurrency exchanges by means of complexity measures
利用复杂度度量检测加密货币交易所的异常交易模式
Artificial transaction generation remains an important source of potential market manipulation on cryptocurrency exchanges, as it may distort reported liquidity and reduce market transparency. This study proposes a diagnostic framework for detecting unusual trading patterns based on complexity and statistical-structure measures derived from high-frequency trade-level data. The analysis considers log-returns, trading volume, and transaction counts, using tail distributions,…