  Financial forecasting is a difficult task due to the intrinsic complexity of
the financial system. In the present paper we relate our experience using
neural nets as financial time series forecast method. In particular we show
that a neural net able to forecast the sign of the price increments with a
success rate slightly above 50 percent can be found.
