Sure, then go ahead and point to a SINGLE source that proves that NN are successfully employed in financial trading. There are countless strategy ideas and approaches in no-NN public domain that work one way or the other and with specific assumptions, so surely there must be information available in public domain where a researcher, academician, or practitioner published NN approaches to financial trading that work. There are none, not one single paper, to my knowledge that proves that "training" a strategy algorithm produces sustainable risk-adjusted positive returns after application of costs of execution that warrant an adoption of such process. Not a single one. Please disprove me or anyone whom you seem to so much disagree with.
I concur with you that NN have their applications and usefulness in many areas...just not in financial trading.
Weights? Can you be very specific which weights you are talking about?
I concur with you that NN have their applications and usefulness in many areas...just not in financial trading.
Weights? Can you be very specific which weights you are talking about?
I consider myself to be a pretty good trader, I've paid my dues, and I happened to learn the correct information from the very beginning.
I think it's amazing how Academics, and 'People on the Internet', can say categorically that something doesn't work. There is a logical fallacy named Appeal to Ignorance: Just because you've never seen something in action, does not mean that it does not act.
The things we're doing with NNs these days are incredible. From predicting the weather to election results, data manipulation has become king. The markets are a difficult breed, since they actively resist being twisted by mathematics.
However, when training our network, weights are everything.
Going back to how I learnt to trade, I had good information from the beginning. This weighted my decision making process.
If someone cannot make a NN work for the market, then they are using the wrong weights.
