#预测市场 CZ's statement hits the key point — the penetration rate of the crypto market is still less than 1%, which means the current gains we see might just be the tip of the iceberg. But this has profound implications for copy trading strategies.
The prediction market is a particularly interesting track. CZ honestly admits he can't determine who will win, but major events like the US presidential election can temporarily create winners. This gave me an insight — not all tracks are suitable for long-term holding and copy trading; some projects indeed require short-term, event-driven strategies.
Regarding AI Agent trading, CZ's view is very calm: if it were truly effective, project teams would have already used it themselves, and retail investors wouldn't be involved. This aligns with my practical experience — the market is a zero-sum game, and once strategies are widely disseminated, marginal returns quickly diminish. So, copy trading is similar; top traders with high popularity may not be stable long-term, and sometimes it's better to focus on traders with strong execution but low exposure.
The judgment that robots and AI will be widely used in crypto may not be visible in the short term, but it has indeed changed my thinking about long-term allocations. The market still has room for exponential growth, which means the current layout has a relatively low risk of failure — provided you choose the right copy trading targets and set proper stop-loss boundaries.
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#预测市场 CZ's statement hits the key point — the penetration rate of the crypto market is still less than 1%, which means the current gains we see might just be the tip of the iceberg. But this has profound implications for copy trading strategies.
The prediction market is a particularly interesting track. CZ honestly admits he can't determine who will win, but major events like the US presidential election can temporarily create winners. This gave me an insight — not all tracks are suitable for long-term holding and copy trading; some projects indeed require short-term, event-driven strategies.
Regarding AI Agent trading, CZ's view is very calm: if it were truly effective, project teams would have already used it themselves, and retail investors wouldn't be involved. This aligns with my practical experience — the market is a zero-sum game, and once strategies are widely disseminated, marginal returns quickly diminish. So, copy trading is similar; top traders with high popularity may not be stable long-term, and sometimes it's better to focus on traders with strong execution but low exposure.
The judgment that robots and AI will be widely used in crypto may not be visible in the short term, but it has indeed changed my thinking about long-term allocations. The market still has room for exponential growth, which means the current layout has a relatively low risk of failure — provided you choose the right copy trading targets and set proper stop-loss boundaries.