SANTOSH wrote:Hi All
Can a lua strategy be machine learned?
Regards,
Santosh.
Awaiting response long back !!
Kindly try to answer my question.
It will be a great help.
Moderator: Moderator
SANTOSH wrote:Hi All
Can a lua strategy be machine learned?
Regards,
Santosh.
ttta.4x wrote:waiting for update on this one
SANTOSH wrote:Thanks Alexander ,
I get it to working .
Can log in and use the machine leaarning .py samples which are in fxcodebase .
=========================================================================
I tried the following and got success .
PricePredictionMLClassification.py
The model divides objects into two groups: "the price will grow on the next bar" and "the price will fall on the next bar".
C:\Users\abc>PricePredictionMLC.py -l D291033620 -p 9173 -u fxcorporate.com/Hos
ts.jsp -c DEMO
C:\Users\abc\AppData\Local\Programs\Python\Python37\lib\site-packages\sklearn\ex
ternals\joblib\externals\cloudpickle\cloudpickle.py:47: DeprecationWarning: the
imp module is deprecated in favour of importlib; see the module's documentation
for alternative uses
import imp
Status: CONNECTING
Status: CONNECTED
C:\Users\abc\AppData\Local\Programs\Python\Python37\lib\site-packages\sklearn\sv
m\base.py:196: FutureWarning: The default value of gamma will change from 'auto'
to 'scale' in version 0.22 to account better for unscaled features. Set gamma e
xplicitly to 'auto' or 'scale' to avoid this warning.
"avoid this warning.", FutureWarning)
Train Accuracy: 54.17%
Test Accuracy: 48.33%
Status: DISCONNECTING
Status: DISCONNECTED
=========================================================================
Have a question :
How can we use the above python script in live market to predict the next bar , meaning whats the way to use it in the live market ?
Regards ,
Santosh .
Konstantin.Toporov wrote:Similar sample is in our development queue.
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