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I would suggest the following:
Tech stocks from several industries - 10 or 12 stocks
compare to the sector spyders or industry indices
I prefer training data sets of 2-3 months, as amount of time data isn't as beneficial as different types of data (characteristics)
maximize profit - manage risk with the trading strategy we will evolve once we understand and coorelate the nets output to tradeability (stress limit entries/exits, with appropriate stops, which can also be modeled)
set a fixed number of shares (min 300, max 1000 as that minimum is the lowest number you can use for all-or-none trades) this will make computation easier and allow mangement via a position trading account guideline - I will post those later, or you can research my posts from a couple years ago.
I recommend not looking for stocks that may pop up the next couple of days, but rather a robust best entry, optimim exit method - stocks that pop, in my experience, also are found with that method. We want consistency first, and one can then evolve that later to suit your own personal style/objectives/predispositions.
I'd like to think we can create a model, a template for others to start with, and for us to build on. A learning tool for others, and a collaboration for us.
lastshadow |
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