Hello,
I exported the strategy in MT5, imported it, also imported all custom indicators, but I still get error: “program file Indicators/SqATR.ex5 read error.
Hi, SQX uses CPU only. GPU is only used to accelerate user interface
Hi @support
Will the CPU and GPU in the mac mini get used for data mining in SQX? Trying to workout which mac mini model makes the most sense. What RAM configuration is also required?
Best,
Problem solved:
Because it is a server the system has no dedicated graphiccard.
Disable at >Configuration >Troubleshooting > Accrealate internal browsing GPU = DEACTIVED
and all is ok.
Hello,
can you try to disable / enable hardware (GPU) acceleration under SQX Configurations? See the image
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Hi,
StrategyQuant supports GPUs only to accelerate user-interface. The build and backtesting only uses CPU for computation
Does SQX performance support GPU now? any differences it works between Intel or AMD CPU? Which one is better as i will recently purchase a PC for SQX.
thanks
Hi,
it’s been discussed many times. The GPU unit is not the best option for genetic programming calculation used in StrategyQuantX. Nevertheless the request has been made already here https://roadmap.strategyquant.com/tasks/sq4_2985 so you can upvote. Nowadays user prefer using server CPU with tens of cores that work really well with overall speed and performance
Hello, as testing I saw the software is using cpu cores for generating and testing strategies.
It will be 100 times faster if using GPUs instead of CPUs… so far I only saw this link, but it isonly used for visualization purposes (GPU Acceleration).
Do you have such functionality or do you intend on making such?
I tested your product 2 years ago and now started testing it again. I would like to create a wonderful SEO optimized affiliate site for the StrategyQuant, targeting Forex traders. I traded since 2010, trying various strategies and developing my own EAs. Market is huge and most traders aren’t aware of your product. Very excited with the opportunity! But GPU strategy processing instead of CPU will bring tons of new clients!
Hey there!
I recently just did a big overhaul on my gaming PC and am having an issue.
My previous setup was an i7-6700k (OC’ed @ 4.5 GHz), MSI Gaming M7 z270, an MSI Gaming RTZ 2070 Super, and 32 GB (3200 MHZ) Vengeance LPX RAM.
However, I purchased a Ryzen 7 5800x (OC’ed to 4.9GHZ) and an Aorus x570 Ultra (along with a new cooler and case) and kept the same drives, RAM and PSU.
With my previous setup, I was running Borderlands 3 at around a solid 90-120 FPS, however, with this new setup, I am getting anywhere from 60-70 FPS. I ran an in-game benchmark and got (with my previous setup) 99.xx AVG FPS. I ran the same in-game benchmark with my new build and my new AVG is 75. xx FPS.
Along with this I benchmarked both my CPU and GPU (just to make sure nothing changed) and got very close results with similar builds.
I thought the new Zen 3 Ryzen’s had better single-core performance? I also get lower FPS in modded Skyrim and Dying Light.
If anyone has any idea why this might be happening, let me know!
Hi, it works for me well on MAC OSX. What you could try is to disable GPU acceleration under SQX -> Configuration -> Troubleshooting …
Let me know if that helped
Tornado VM & Graal VM
Hi to the Geeks out there,
Has anybody tried to combine Tornado VM (https://www.tornadovm.org/technology) with Graal VM?
The advantage would be that Strategy Quant would be running on your GPU and could result in better performance?
I can’t get Graal VM running on Windows so this is clearly above my competency level.
Would be interesting to benchmark the difference between running Strategy Quant on Windows, within Graal VM and Tornado and Graal VM.
Cheers,
Hello,
we will not be adding support for GPU in near future. CPUs are strong enough to produce results. GPUs are not suitable for SQX computations. This has already been discussed many times. Follow here for example https://strategyquant.com/forum/topic/when-will-sq-add-gpu-thread-work/
Is there any way to force SQX to use GPU? If the number of cores matters? One GPU has about 3500 cores +12GB RAM, 10 GPU…. Or maybe it makes no sense, I don’t know, I was just passing through 🙂