Categories

# Stock index prediction models

What would be the best suited machine learning technique to obtain the distribution of a stock index at some future time $$T$$ given that we have a finite small set of outcomes rather far apart say $$1$$ dollar? Moreover it is sufficient to know with which probability one is above/below a certain number.