Is neural network forecasting considered as TA? A time series projection depends on its initial condition location(chaotic is deterministic) .i.e. However, different time frames study may give different predictions. There are also both deterministic and stochastic trends in time series. In short, TA based on a single past data alone can be very subjective.
We need TA that also includes other variables from the future into the equation. Multivariate(space) time series studies attempts to do so but it is not clear the cross dependence is solely relying on each others past data or perhaps a confluence of projected future results being feedback into the algo to iterate to agreement across time and space.
We need TA that also includes other variables from the future into the equation. Multivariate(space) time series studies attempts to do so but it is not clear the cross dependence is solely relying on each others past data or perhaps a confluence of projected future results being feedback into the algo to iterate to agreement across time and space.
