how can i do a stock market prediction using a neural network?

Answer 1

The easy way is to use the wet one in your head. You use a university to train it instead of a more traditional backprop, though.

Barring that, of course, there are a couple significant challenges here. First, you need to recognize and understand the characteristics of the ANN approach. You need to know how big of a network you're talking about... three layers is all fine and good, but you're going to need to know how many nodes to work with. The most significant problem, though, is the inputs... to predict prices with any kind of accuracy, you'd need to be able to track, input and train on at least some variables that affect price. The purely numerical ones (the day of the week, yesterday's price, the index prices, etc) are fairly easy, but you'll need to account for everything else, too... people's minds can change for totally unrelated occurrences, they may blindly follow trends (meaning you'll need to loop some of your output back) or go against them. They may buy or sell in large quantities because of what analysts say on TV, whether or not it makes sense. You may be able to model a lot of that with statistical models, but the devil is in syncing the timing to reality.

Bottom line, it's an interesting problem. Solve it well, and you'll never need to work again ;)

Answer 2

A neural community, additionally referred to as a parallel dispensed processing community, is a computing answer it rather is loosely modeled after cortical systems of the concepts. It contains interconnected processing aspects referred to as nodes or neurons that artwork together to offer an output function. The output of a neural community is desperate by potential of the cooperation of the guy neurons in the community to function. Processing of information by potential of neural networks is often carried out in parallel rather than in sequence (or sequentially) as in until now binary computers or Von Neumann machines. because of the fact it rather is desperate by potential of its member neurons together to accomplish its function, a special substances of a neural community is that it may nonetheless carry out its overall function whether quite a few the neurons at the instant are not functioning. In different words it rather is stable to tolerate errors or failure. (see fault tolerant) additionally, neural networks are greater merely adaptable to fuzzy good judgment computing initiatives than are Von Neumann machines.