SYSTEMS AND METHODS FOR IDENTIFYING INDICATORS OF CRYPTOCURRENCY PRICE REVERSALS LEVERAGING DATA FROM THE DARK/DEEP WEB

摘要

Computer-implemented systems and methods are disclosed for learning correlations between D2web activity and historical cryptocurrency trend reversals. The learned correlations are leveraged to generate rules executable by a computing device. When satisfied, the rules are utilized to predict a cryptocurrency price reversal.