To be honest, I've become somewhat numb to the concept of on-chain AI over the past two years. From 'AI issuing tokens' to 'AI market making,' it's been hyped to the sky, yet there are not many projects that dare to invest money and run a strategy for a week. KITE is one of the few AI quantitative assistants that I actually took my wallet to try out. It doesn't just make you click a couple of times on a webpage; instead, it handles the whole process of 'data collection—signal generation—execution' in a way that resembles traditional quantitative teams, only in an on-chain native form. The most intuitive feeling is that its understanding of market structure is clearly not a simplified model of 'placing an order after a glance at the K-line'; rather, it incorporates market depth, on-chain capital flow, and sentiment factors into the strategy, then breaks it down into several templates based on different risk preferences for ordinary users to choose from. Initially, I chose a more conservative combination, focusing on blue-chip and high liquidity pools, with a steady execution rhythm that wouldn't give you dozens of orders in a day. It doesn’t seem that 'exciting,' but the drawdown control is quite comfortable. Later, I tried a more aggressive strategy, and I could clearly feel that the strategy reacted faster to hot coins and sentiment fluctuations, increasing the frequency of short-term trades, and indeed the profit and loss curve became more 'stimulating.' There were two days when I was nearly scared enough to get up in the middle of the night to check the market. I also discovered some small issues during the process, such as a few times when there was on-chain congestion, the strategy signal came out, but the slippage was much greater than expected, indicating that more protections are needed between the execution layer and risk control layer, especially for long-tail pools; also, while the UI has tried to make the parameters more user-friendly, for complete novices who have never been exposed to quantitative thinking, seeing terms like 'risk range' and 'maximum drawdown assumption' for the first time can still be a bit confusing, requiring some time to acclimate. Compared to several competitors, I think the difference with KITE lies in the fact that it is more like a 'trainable AI assistant' rather than a black box. You can adjust the weights and styles to make it closer to your own trading habits instead of being forced to accept a 'one-size-fits-all decree.' A small reflection on typos: I used to think that 'lying down to win with quant' was just a pipe dream; now I realize that to actually achieve 'less worry + risk control,' the pile of models and execution logic behind it is far more complicated than what we talk about in the group chat.@KITE AI $KITE
