64 bit Python yes, Tensorflow depends on when numpy fully supports embedded Python.

Hi Team:

I appreciate the NEURAL and such features in Zorro. My request is to expand the functionality as follows:

- Provide a default Levenburg Marquadt neural network file with deep learning topology (e.g 2 Hidden Layers) and parameters *preconfigured * as a generic file in the Zorro folder. ( Basically a preconfigured Neural Network file or dll like some apps use today. )

- Allow the User to easily load this configured neural network file in the script, then specify inputs as usual, and train it, with Zorro saving the determined weights in a copy of the Net (the trained Net under some provided filena,e) and then easily use it in the future by specifying the trained Net name in a script. So long as it is in the root folder, Zorro will load it ( the trained weights are already in the file.)

- This will give users an easier way to work with a defined Topology without having to deal with the nitty gritty code configuration. Maybe even the ability to train and save multiple networks under different filenames for later retrieval.

- This would eliminate the painpoint of having to install any packages or frameworks, etc like I have to do today.

- In time, maybe even expand the list of available pre-configured Topologies in the root folder (TDNN, etc) so that all we would be doing in our script essentially is selecting which NN type we want and letting the training determine the weights.. all within the existing framework for selecting DTREE or NEURAL today.

The net benefit is ease of utilizing advanced and known Topologies as well as training, saving, and retrieving your Net. For instance, if I ran some solid training sessions and saved my work, I could retain the best 10 nets as 10 files (delete the others) in my root folder so that I can load up anyone I want in the script just by typing the corresponding file name.

With thanks,
OptimusPrime

Confirming my request for 64bit support. I just found out, that this is about TensorFlow support as well. Is there any schedule for this feature known yet?

AFAIK the Numyp guys are working on it for the next update. Has nothing to do with 64 bit support though.

What I don't get is that Zorro 32bit can talk to R 64bit. Why does Python 64bit need Zorro 64bit? Maybe I shouldn't wait and start working on a Zorro -> R -> Python bridge...

It would be nice if Tai-Pan EOD could be used as a data provider.

The DLL for R is always 32-bit, while the DLL for 64-bit Python is also 64-bit. That's why Zorro can use 64-bit R, but not 64-bit Python.

One alternative approach might be for 32-bit Zorro to launch a child 64-bit python process and communicate with it using IPC (such as networking) and a protocol.

It would be a lot of work to implement this, though. It might be better to wait for Zorro 64-bit to be released, but I'm not sure what kind of a timeline we are looking at.

I'd like to cast a vote for a solution in the MT4 bridge, to prevent mix up of comments and magic #'s when trading multiple strategies.

Thank you.

.t6 file system is good, but there is thousands of stock tickers in the markets.
If someone try to save stock history price datas to .t6 files, maybe thousands of files needed in one folder.
This cause extra efforts to manage data.
To resolve this problem, I kindly suggest HDF5 database support to save historical price data.
Using this database format, we can write all stocks historical data to a one file.

And also there is not enough room to save historical datas to a only one folder,
I recommand that zorro can recognize sub-directories of history folder.