VIP clients on BitMEX can now access personalised AI-powered trading reports that analyse their trading behaviour and help traders optimise their profits. BitMEX Unveils AI-Powered VIP Trading Reports in Partnership with Hoc-trade BitMEX, the safest crypto exchange, today announced the launch of its new AI-driven personalised trading performance reports, exclusively available to its VIP traders, in partnership with Hoc-trade. VICTORIA, Seychelles, May 28, 2025 (GLOBE NEWSWIRE) — BitMEX, the safest crypto exchange, today announced the launch of its new AI-driven personalised trading performance reports, exclusively available to its VIP traders. Developed in partnership with Hoc-trade, this new feature positions BitMEX as the only crypto exchange providing in-depth, customised analysis of trading behaviours, empowering its traders to pinpoint areas for improvement and optimise their strategies for enhanced profitability. This bespoke tool delivers actionable insights derived from a trader’s historical data, clearly highlighting strengths, weaknesses, and specific opportunities for refinement. By understanding their trading patterns on a granular level, VIP clients on BitMEX can now make more informed decisions, sharpen their risk management, and ultimately strive for enhanced returns – a level of trading analysis unmatched in the crypto trading space. “At BitMEX, we are constantly seeking ways to empower our users with the most advanced tools available,” said Stephan Lutz, CEO of BitMEX. “This collaboration with Hoc-trade allows us to offer our VIP traders an unprecedented level of trading analysis, the first-of-its-kind, giving them a genuine edge in today’s dynamic markets.” Example Analysis from BitMEX’s Trading Performance Report Example Analysis from BitMEX’s Trading Performance Report Jonas Schleypen, CEO & Co-founder of Hoc-trade commented, “We’re excited to partner with BitMEX as the first crypto exchange to offer VIP Trading Reports. Given the fast-paced, high-volatility nature of crypto markets, staying focused and minimising behavioural biases is more critical than ever—and that’s exactly where
