Many traders don’t lack indicators—they have too many. A common problem for beginners is thinking that if they look at a few more indicators, their judgment will be more accurate. MACD, EMA, RSI, KDJ, Bollinger Bands, volume, support and resistance, funding rates, order book changes—everything is checked. The result isn’t clearer; it’s more tangled and indecisive. Because indicators themselves don’t automatically produce conclusions. What truly matters is the decision-making chain: what is the current market structure? Which indicators are the main signals, and which ones are only for auxiliary confirmation? If signals conflict, how is priority determined? And where is the risk-control boundary if you’re wrong? This is also where AI trading tools are genuinely valuable. Looking at AIX’s product logic, it’s not about how many indicators it stacks—it’s about whether it can organize multi-dimensional signals into an explainable reasoning process. If AI only gives you a “buy/sell,” its value is limited. If AI can tell you why it made the judgment, what the basis is, and where the risks lie, then it has replay value for review and reflection.