# Algorithmic Trading: Normalization and Selection of Technical Indicators for Artificial Neural Networks [closed]

I study on algorithmic trading for a while based on technical indicators. I started to learn about neural networks and want to use technical trading indicators in this approach.

However, I am not sure how to normalize, read past questions, but there is no clear answer.

Is there anybody who can suggest a starting point?

## closed as too broad by Attack68, skoestlmeier, LocalVolatility, byouness, madilynMar 5 at 21:43

Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

• Even accounting for the upvotes to this question, I actually think it is either unclear or too broad. All that is really mentioned is "technical indicators", "normalize" and "neural networks". Since each of these terms contains a considerably wide scope I can't answer this, and that is also why I suspect you have found "no clear answer". I would suggest you reformulate this with more of a narrower focus on precisely what you are trying to achieve. – Attack68 Mar 5 at 12:29

2. Calculate the returns / percentage change of the indicator at each time step which will give you a scaled result between 0 and 1. i.e. (t2 - t1) / t1 where t1 is the signal at time step 1 and t2 is the signal at time step 2.