Last week, a summary of the AMA on AI quantitative trading organized by Apex on Space was made. During the process, a student asked how to handle trading with AI in the 10.11 market.

I used an analogy. Trading with AI is like using autonomous driving; it's much easier to activate smart driving in smooth markets such as highways, expressways, tunnels, and elevated roads. However, when facing complex scenarios like urban roads and urban-rural junctions, timely intervention is necessary. In extreme market situations, it's like driving on complicated roads, where the steering wheel must still be firmly in your hands. Because human reactions are always the most timely.

I gave an example of a friend in the 10.11 market, who earned $2M through subconscious muscle memory.

Additionally, stop-loss strategies are very important; most strategies need to set a stop-loss liquidation bottom line. Because a single judgment error in extreme market conditions is almost equivalent to GG.

The industry is getting tougher... I really wish USDT would fall from the sky.jpg