Now I don't give this example for price prediction but for genuine interest in statistics. Well what the difference between a logaritmic model and an expnential model?

Because both seem pretty much the same in the shape of the line which fits the data.

2) question: Let's assume that my regression linear model explain an exponential function the better than a logaritmic/exponential model itself... well in this case... what do you do generally? Is it a strange case orrr not? A linear fits better than an exponential model for the last part of the curve (the one where the expon. curve is flattening).

Well in this case... what to do? Why to use the exponential model and not the linear since the last part of the function / stock is predicted better by the linear model?