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Posted

machine learning , AI and data science wont work for stock market trading especially intraday. may be it will be helpful for short term investments.

 

that s why amazon ceo jeff left that financial software company. Also ML AI wont work efficiently in more than one core processors this is one reason neuro ml softwares worked well in xp and after that they failed with their prediction models for intraday or shorterm trading with dual core processors.

 

We need GPU TPU processors to be cheap and until then we retail traders have to wait.

Posted
machine learning , AI and data science wont work for stock market trading especially intraday. may be it will be helpful for short term investments.

 

that s why amazon ceo jeff left that financial software company. Also ML AI wont work efficiently in more than one core processors this is one reason neuro ml softwares worked well in xp and after that they failed with their prediction models for intraday or shorterm trading with dual core processors.

 

We need GPU TPU processors to be cheap and until then we retail traders have to wait.

 

Completely wrong. I'm successfully using R with parallel computing (40-core CPU power spread in 4 VPS) and works like a charm. Machine learning requires a sound statistical background and is not as easy as go-up-go-down indicators.

Posted
Completely wrong. I'm successfully using R with parallel computing (40-core CPU power spread in 4 VPS) and works like a charm. Machine learning requires a sound statistical background and is not as easy as go-up-go-down indicators.

 

i just mentioned for neural networks predictions. rest all which comes with python R doesn't need TPU

Posted (edited)
These are intraday chart projections and the proof that they are correctly predicted.

 

Sixer

 

what software this is and what is the model and feature used? looks like pics were taken in 2010

 

is these signals generated in realtime market? many times model lookfwd and generate new one during back testing and wasted lots of my time with ml things

Edited by mike83
Posted (edited)

How do I use neuroshell vs order application

can it be combined

 

the most extensive c ++ library or softwore

Support Vector Machines.

Gradient Boosted Trees.

Random Forests.

Extremely Randomised Trees.

Multi-layer Perceptron, aka Neural Network.

Ensembles: Combine the forecasts of any number of predictors.

Constant retraining, always adapting to the market.

Filtering.DSP

garnozel filter

vs vs _?

 

input - predictions - output

 

for example

extern "C" __ declspec (dllexport) void _cdecl predictions (double * input, double * output,long ınt sıze)

.............

............

return:

Personal experience

I work with Neuroshell and PolyAnalyst

actuel 1 lead norm

input norm

1lag (input norm)

2lag (input norm)

3lag (input norm)

4lag (input norm)

output 1 lead norm SVM REG

the output is super - the real trade sucks

Edited by mimtek
Posted
Does it use of some kind of ARIMA? or its something else like neural Network? Can you please explain a little more?

 

all those pics were taken in 2010. not sure whether model can still work for 2017 data. that's said all.

  • 2 weeks later...
Posted
i have tried many software with different inputs the results were mix not trade able. The problem is prices are not fix they go up and down if there is way we can make price straight then machine learning can be used effectively.
Posted
stock market is based on brownian motion can't be applied or predicted with ml softwares. may be once u can use them for stastics and research works or else in low volume or operator driven scrips not for cme nyse nikkei exchanges

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