Top 4 AI Indicators on TradingView (Tested and Ranked!)

One of the hardest parts about trading is sticking to a set trading plan. We've all diverged from our plan at least once. [snorts] Whether that's exiting late, entering early, or moving a stop-loss, AI will always stick to that trading plan no matter what. No emotions, no panic, no just this one time, I'll move my stop-loss. And there's another power that AI brings to the table. Machine learning. It's a branch of artificial intelligence that focuses on using data and algorithms to imitate the way humans learn. Think about that for a second. While most traders are stuck using indicators from the 1980s, there is a new breed of tools that actually learn from the market. Having access to these indicators gives you an edge that most retail traders don't have. Today, I'm ranking four AI indicators on Trading View from fourth place to first. For each indicator, I'll share the weaknesses you need to watch out for, the strengths that make them valuable, and exactly how to use them to boost your profitability. So, let's get straight to it. In fourth place, we have something called the adaptive super trend on Trading View. Now, if you've used the original super trend indicator before, you know it has one major flaw. The calculation is only based on a fixed amount of factor and length for ATR. What does that mean for you? This indicator can't adapt to current market conditions. It's just using a fixed look back period to calculate whether the line sits above or below price. This new version has the ability to learn from past data and adapt to current market conditions. To add this new super trend to your chart, click on indicators and search for machine learning adaptive super trend, the one by Algo Alpha. Let me show you what makes this indicator special. Machine learning is introduced here through something called K means clustering. This is a technique that categorizes market volatility into three distinct levels. High, medium, and low. Why does this matter? Because this categorization allows the super trend to adjust more precisely to varying levels of volatility. In this table, you can see the three levels of volatility laid out clearly. High, medium, and low.