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stock trend prediction

fpaganelfpaganel Member Posts: 4 Contributor I
edited November 2018 in Help

Hi everyone,

I'm trying to develop a model that optimize buy/sell signals at the end of day, in order to obtain the best gain.

Inputs are techical indicators like RSI, MACD, Stochastic and candle patterns.

At the moment I have a training set of Apple's stock in excel (that I will share when I find out the way).

In the past I have tried to build a model considering following label:

  • 1 if the price variation is >0.2
  •  0 if the price variation is between -0.2 and 0.2
  • -1  if the price variation is <0.2

But the result accurancy is around 50% .

How can improve it?

Could you please help me? 

 

Thanks in advance

Francesco

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Answers

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    Thomas_OttThomas_Ott RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,761 Unicorn

    I would optimize your algorithm using the Grid Operator. You can get good success when you do that. 

     

    Also, visit my site on using RapidMiner for Stock Market related things. http://www.neuralmarkettrends.com/tutorials

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