Our trading automation services function as a pilar for finding precise sell/buy signals, deriving probabilitistic forecasts and posterior bet sizing for traders and portfolio managers.
Labelling is the first step of a trading algorithm
and learns how to position in the market based
on barrier thresholding or trend scanning methods.
Using Monte Carlo methods, we can sample from
the expected probability distribution and derive
a probability value for the increase in price.
Based on the probabilistic forecast, we can derive
a bet based on several criterions such as kelly's
criterion.