It’s on my TODO list, mostly to forecast interest rates, FX rates, but more generally to forecast any signal with historical data - something like rainfall or temperature.
What I know so far - there are many techniques in common use: Monte Carlo, partial differential equations, lattice methods, Black Scholes, Ho Lee.
I suspect that ML models are out there. It seems like Nx/Scholar has many useful tools.
So - I’m also interested in predictive modeling and curious what others with more experience have to say on the subject. 
