Bollinger + Keltner + Donchian Bands Combined - Cloud Tool 🛠️

to find the best trades do you keep jumping from tool to Tool and just end up going around in circles well what if there was another way and you could just have one combined multi-tool which did everything Allin one for volatility indicators most people would look at the Ballinger Kelner or Don Chen bands but I found something much better which is this combination cloud from MDX algo that essentially combines all these three bands indicators into one simple tool for some unbeatable trade setups however if you don't understand how to use the tool correctly you will AP in at the wrong levels at the wrong time and lose all your money so I've created this simple guide to Ballinger Kelner and donchain logic used in the combination tool so that you have the knowledge to become the alpha Chad of trading so to recap the Ballinger bands they are constructed using a simple moving average line and then we take a standard deviation above or below that line and plot those standard deviations in a band like that and if you'd like to understand this in more depth check out my video popping up above for uh a in-depth guide into Ballinger bands now the implication of this is that when we go from ranging price action with low volatility to trending price action where we get the spike in volatility and larger candles the Ballinger bands blow and that's because the standard deviation is calculated on a per candle basis so as soon as this trend gets going that volatility reacts immediately the first candle that starts spiking up so due to the way the B band's logic is constructed we can use this information to look for volatility squeezes and this is when we see a period of low volatility with tight Ballinger bands which often occurs before large expansions or contractions in the price action a secondary use is also to look for mean reversion so when the price touches the outermost Ballinger bands there may be a mean reversion back to the center line although personally I find this is most