The transformative singularity of AI in trading lies in its creativity and autonomous iteration. Especially in PVP arenas, having adaptive update strategies and the element of surprise is key to defeating enough opponents. Just like what everyone has noticed—for example, the PVP difficulty of trading altcoins increases season by season, and new versions require new counter-strategies. Otherwise, it’s not much different from traditional quant trading (which mainly relies on historical backtesting and statistics, with strategies following human commands and human input providing variability). Particularly for large-scale public live trading, if there isn’t enough autonomous iterative variability, it’s prone to reverse engineering attacks. This is completely different from scenarios where AI is used for content generation or reducing workload. Because this is about “fighting against humans.” A simple analogy to understand this is competitive sports on the field. Even in cultivation-themed anime, part of the protagonist’s aura comes from always finding the “unexpected” ways to defeat stronger opponents and survive in the dark forest.