Here's what you can do with OpenCL directly in MetaTrader 5 without any DLLs - page 12
You are missing trading opportunities:
- Free trading apps
- Over 8,000 signals for copying
- Economic news for exploring financial markets
Registration
Log in
You agree to website policy and terms of use
If you do not have an account, please register
Doesn't anyone use OpenCL in practical tasks? :)
OK. Sorry, are you like me, are you stuck because of this, or do you just want to know for general development?
I'm planning to use it in MQL5, so I decided to trace the subject
Great news :) Developers have discovered and fixed everything! Looking forward to the new build :)
Added: all fixed in 1586 build.
I see in the optimizer you can't have more than one local agent using OpenCL. This is unfortunate.
Dear developers:
1) What does error 5114 mean? This error was pulled from the agents that didn't want to use OpenCL. There is no description for this error in the help.
2) Will there be a way to enable multiple local agents with OpenCL in the optimizer in the future?
I see in the optimizer you can't have more than one local agent using OpenCL. This is unfortunate.
Dear developers:
1) What does error 5114 mean? This error was pulled from the agents that didn't want to use OpenCL. There is no description for this error in the help.
2) Will there be a way to enable multiple local agents with OpenCL in the optimizer in the future?
If there is a limit when using OpenCL in the tester, it would make sense to use OpenCL not from MQL5, but in an external dll in C++ where there are more options, including the library under OPenCL OOP
If there are limitations when using OpenCL in the tester, it makes sense to use OpenCL not from MQL5, but in an external dll in C++ where you have more possibilities, including a library for OPenCL OOP
Of course you are. That's what I do. It's easier to use CUDA right away - for better coding convenience and performance.
But we are talking about native methods...
Of course you are. That's what I do. It's easier to use CUDA right away - for better coding convenience and performance.
But we are talking about native methods...
Unfortunately they still have unexplored rake, and I have little time to study them, so for now I'm looking towards CUDA and TensorFlow.
Yes, but everything in one place and natively :)
I'm generally satisfied with MQL5 implementation: everything is simple, optimal and there are minimum of bugs, and those bugs that are detected are fixed rather quickly and willingly. And the developers haven't neglected the development of this business, which is very encouraging. Now programmers are provided with extended resources and CL code writing has become much more convenient and faster.
CUDA is very appealing because of its optimisation for its cards and debugger, but still, it is not for wide market, where there are not less cards from amd.
TensorFlow, after all, is for machine learning, and it is more specific tasks. But it is an interesting technology, yes.
I've made conclusions for myself:
1) For universality and a wide market it is better to use OpenCL from MQL5.
2) If you are doing it for yourself with maximum output, do not use native CUDA.
Yes, but everything in one place and natively :)
I'm generally satisfied with MQL5 implementation: everything is simple, optimal and there are minimum of bugs, and those bugs that are detected are fixed rather quickly and willingly. And the developers haven't neglected the development of this case, which is very encouraging. Now programmers are provided with extended resources and CL code writing has become much more convenient and faster.
CUDA is very appealing because of its optimisation for its cards and debugger, but still, it is not for wide market, where there are not less cards from amd.
TensorFlow, after all, is for machine learning, and it is more specific tasks. But it is an interesting technology, yes.
I made conclusions for myself:
1) For universality and a wide market it is better to use OpenCL from MQL5.
2) If I want to work purely for myself with maximal yield, then not the native CUDA.
I agree about the developers but still OpenCL is not convenient to use in statistics calculations as a lot of code has to be ported to C, even if it is written in an external module or library. At least I haven't found solution for connecting alglib to it. TensorFlow has it all on board, but there is a pitfall, I have to write part of it in Phyton )) and of course limitation to use AMD cards.
Maybe somebody here will port Alglib into OpenCL functions.
I see in the optimizer you can't have more than one local agent using OpenCL. This is unfortunate.
Dear developers:
1) What does error 5114 mean? This error was pulled from the agents that didn't want to use OpenCL. There is no description for this error in the help.
2) Will there be a way to enable multiple local agents with OpenCL in the optimizer in the future?
No suitable OpenCL devices were found among those that were available.
This error may arise if you specify a context where only GPU devices are to be used while there are CPU devices available.
Forum on trading, automated trading systems and strategy testing
Here's what you can do with OpenCL directly in MetaTrader 5 terminal without any DLL
fxsaber, 2017.04.14 14:49
First it says And then 20 seconds later it saysThere is no video card.