Indrionas

Neural network is nothing more than just another non-linear modeling tool. When you are training neural network on the data you are making a few very important assumptions: 1) There are patterns in the input data. Neural network cannot answer this to you. If your data contains noise only, prepare for failure. 2) The patterns in the input data has relationship with the target variables. If there is no relationship, the NN will just model noise (aka overfit). 3) You have enough data to find the said relationships. Which is usually not the case with the market data. For instance, having 5 years of daily data makes only about 1250 trading days. When training NN, you have to put some data aside for validation and out of sample testing. You are left with less than 1000 data points, which is a very low number for learning complex multivariate relationships.

What most newbies do not realize that trade does not consist of "take profit" only. I has a thing, called stop loss. What you gonna do when that highly-leveraged position of yours go against you? No, you cannot make 10 pips a day consistently. And 10 pip target is ridiculous if you take into account that spreads are 2-4 pips, then the odds are heavily against you. And 10 pips is trading in the noise, totally unpredictable.