When it comes to working with Machine/Deep learning and Python, most people recommend that you use a Unix-based environment. Machine learning tools can be installed and configured easily on Linux, allowing you to focus your efforts on developing and improving your code instead of wasting time-solving installation conflicts. Windows OS users suffer this all the time, even trying to follow the references is difficult because they are based on the Unix operating system. To avoid this problem, I propose using the Windows Subsystem for Linux (WSL). WLS: allows you to install a complete Ubuntu terminal environment in minutes on your Windows machine, allowing you to develop cross-platform applications without leaving Windows [1].

For this setup we need adjusted data for all Dow-30 stocks since 01/2000. The DLPAL p-indicator workspace setup is shown below. We have applied a profit target and stop-loss of 2% because we are interested in short-term directional price action. We also marked "Show All results" because we then would like to calculate the P-Dow indicator value. The longer-term trend is removed from the results by checking "Detrend All results.