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Thinking about it, projects like $MFI are indeed interesting to explore — we've long trusted AI to help write code, but when it comes to trading, we still have to keep our eyes glued to the K-line, watching each candle flicker as if our life depended on it. Why is there such a big difference?
To put it simply, we trust automation in software development, but when it comes to trading decisions, we start to get tangled up. This actually reflects the conflicting market mentality — technical capabilities have long kept pace, but psychological expectations haven't caught up. Maybe we should all reconsider and analyze what exactly differentiates automated trading from traditional monitoring methods.