Machine learning in stockmarket

Hello,

I am trying to implement the following machine learning methodology to forecast stock market movement. 1 Deep Neural Networks 2. Random Forest 3. Support Vector Machines

for a moment my data source is google stock,code for data below.: startDate = '01/01/2009'; endDate = '12/31/2011'; stockCusip = {'GOOG'}; c = yahoo; for i = 1 : length(stockCusip) d = fetch(c,stockCusip{i},startDate,endDate); end

Final goal of this project to create a chart with market prediction and implementation: 1 Deep Neural Networks 2. Random Forest, 3. Support Vector Machines at the end of the project I need to answer what method is producing more accurate result.

Please guide me how to implement this methodology.

thank you!