In this recipe, we show how to build an interactive dashboard for technical analysis in Jupyter Notebook. Of course, the same result could be achieved without any interactivity, by writing the initial code, and then changing the parameter values inline multiple times. However, we believe it is much better to create an interactive tool that can ease the pain, as well as reduce the number of potential mistakes.

In order to do so, we leverage a tool called IPython widgets (ipywidgets), in combination with plotly and cufflinks. We select a few US tech stocks and three indicators (Bollinger Bands, MACD, and RSI) for the dashboard, but this selection can be extended to many more.