minizinc-python VS Optimization-Python

Now, you say you need to solve this using Python. I would personally either use the MiniZinc Python driver or I would use the OR-Tools Python package and write a similar model to the one above.

Btw, MiniZinc team recently released a python binding https://github.com/MiniZinc/minizinc-python which is quite nice to use.

minizinc-python solves the second issue, by providing the way to call minizinc models from python, the library will run minizinc, serialize your input and parse output, but the programmer still should write quite a lot lines of code. We can look at the example of solving square equation solving:

One approach to this problem is based on the Nobel prize winning Modern Portfolio Theory (MPT). In fact, there we can use pretty simple code available online: https://github.com/tirthajyoti/Optimization-Python/blob/master/Portfolio_optimization.ipynb. There is a one BIG difference between DCA and MPT though. Here, we do not want to do a one-time purchase and try to gain maximum profit. We are looking at a dual problem, where we want to purchase regularly, while aiming maximum accumulation.