hallanging because of its unpredictable behavior.
The typical solution is to optimize parameters in specific peakdetection methods but such techniques can require a very specific set of input parameters and usually only work for certain timeframes, scales, or trends (bull/bear/sideways) in the market.</p>
<p>To overcome these challanges, I developed the method <code class="docutils literal notranslate"><span class="pre">Caerus</span></code>.
The method is build using a forward rolling window to iteratively 