#预测市场 After reading this in-depth analysis of prediction market manipulation, I find it quite interesting. The hypothetical scenario for 2028 sounds very realistic—when AI can forge public opinion and manipulate markets at increasingly lower costs, prediction markets will face a real test.

The core issue is actually twofold: the first is whether manipulation can truly influence prices—historical data shows that the cost is high and sustainability is difficult, and markets with low liquidity are easier targets; the second, more critical point, is that even if manipulation fails, panic and trust collapse in public opinion are themselves damaging.

This provides great insight for those of us who have been immersed in exchanges for years. Especially for copy traders, the key warning is: don’t be fooled by the volatility of prediction markets. When you see a certain price suddenly spike abnormally, don’t rush to follow the trend. First ask yourself a few questions—Is there genuinely new information being released, or is a big player creating momentum? What about the trading depth? Are there coordinated accounts working together?

Among the suggestions proposed in the article, I particularly agree with the call for increased platform transparency. More detailed liquidity indicators and exposure of abnormal trading patterns are practically helpful for ordinary copy traders—helping us better distinguish between market consensus and artificial manipulation.

In plain terms, the informational value of prediction markets still exists, but we need to learn to view it with more caution. The underlying logic of copy trading hasn’t changed, but risk management requirements have increased.