According to Lex Sokolin (@LexSokolin), mapping the set of all trading strategies into a latent space using clustering machine learning techniques could unlock new pathways for market analysis and automated crypto trading optimization (source: Twitter, May 14, 2025). By structuring diverse trading strategies as high-dimensional data points, traders can leverage machine learning models to identify profitable strategy clusters, optimize portfolio allocation, and enhance risk management. This data-driven approach supports the discovery of non-obvious strategy patterns, providing crypto traders and institutional investors with a competitive edge in rapidly evolving markets.