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Ninjatrader 64bit on Windows 10 Insider for ARM PC?

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    #31
    Good morning everyone, I have a MacBook Air with parallels, I had to get a pc dedicated to ninjas as the loading times of the workspace were very long and comparing myself with colleagues I realized that virtualization does not take the most of the potential of the Mac ... with the same settings as the nt8 and the same network M1 charges in 7'30''', the pc (of the i7 10750h with 16gb ram) in 45''-1'30''' ... a nice difference yet in single core benchmarks (where nt8 most need) the M1 cup would be much better ... I could notice that it is more important to have more Clock per core What a very core, maybe this is the apple limit? Or do virtualization and nt8 actually not use the Mac?

    Comment


      #32
      Originally posted by frasg View Post
      Good morning everyone, I have a MacBook Air with parallels, I had to get a pc dedicated to ninjas as the loading times of the workspace were very long and comparing myself with colleagues I realized that virtualization does not take the most of the potential of the Mac ... with the same settings as the nt8 and the same network M1 charges in 7'30''', the pc (of the i7 10750h with 16gb ram) in 45''-1'30''' ... a nice difference yet in single core benchmarks (where nt8 most need) the M1 cup would be much better ... I could notice that it is more important to have more Clock per core What a very core, maybe this is the apple limit? Or do virtualization and nt8 actually not use the Mac?
      Hi frasg.

      Which version of Windows for ARM did you use? 10 or 11?

      Was it loading the workspace or calculation of indicators that took up most of the 7'30'''. I'm currently running NT8 on an old intel iMac under Parallels and my indicators take about 10 minutes to load/calculate, then it runs fine.

      What memory and RAM did your M1 Mac have and what portion of your memory and RAM did you allocate to the virtual machine?

      Performance seems to be an issue for NT8 from what I read in this forum. It is not clear if the virtualisation or the efficiency of Microsoft's X64 emulation is the problem. I'm told Windows for ARM in general runs great on the new Apple Silicon machines. Was this your experience (other than NT8)?

      Thanks.

      Comment


        #33

        I used the 10 which was then updated to 11 ... overall it works well although a little less fluid than the other pc which is still a high-performance PC ... it takes a long time to load the tick indicators I need, I only made the parallel between Windows native on the pc and virtualized on mac ... on parallels I dedicated 10gb of ram and 3 cores ... I tried various solutions but it does not bring benefit dedicating more resources, even with 8gb of ram it is not that it gets worse ... I use Windows just to trade so I have no experience with other virtualized software.

        Certainly from the tests done the problem either it is parallels or Windows that interacts with parallels and mac components ... I think it is difficult to understand the matter well, surely I can not wait 10 min to load graphs that are also few. A colleague of mine with bootcamp goes almost like my PC so the problem is virtualization. I'm sorry because from m1 apple he did magic as a performance, I'm putting votes everywhere so that a native nt is created on mac could be very performing in my opinion

        Comment


          #34
          In my opinion you will never see a native Mac version of NinjaTrader. The whole sales pitch for NT8 was that it was built around WPF for a better user experience and more modern Windows underpinnings. The company's response to Mac users has always been to use Parallels or some other virtualization.

          Could someone from the NinjaTrader team please comment on the current recommendation for Apple Silicon Mac users since virtualization is not a practical solution any more? Will there be an ARM64 compile of NT8 that would re-open this possibility?

          Comment


            #35
            I think you're right, basically virtualizing a work tool exposes you to more problems but with bootcamp it could still be interesting ... to date the difference in performance is clear for what I see and unfortunately I have to choose to have two computers, one of which is definitely Windows for ninja which is absolutely fine but it's a shame.

            Comment


              #36
              I raised a ticket with support to see if they're planning a native ARM version. Their response is below.

              No, there are no plans to release a specific version of NinjaTrader that is supported for use with the ARM architecture. That being said, the workarounds that users mentioned in the forum may allow you to do so with the current version of NinjaTrader.

              Comment


                #37
                So if you also confirm loading times with virtualization as long as those mentioned before, the solution is a dedicated Windows PC as I see it

                Comment


                  #38
                  I would love to see an update about this. I'd love to get one of these Windows Dev Kit 2023 computers and throw NT 8 on it, but I'm not sure it would work.

                  Build, debug, and test native Windows apps for Arm with Windows Dev Kit 2023, a compact desktop computer engineered for developer workloads.


                  Price $599

                  Dimensions

                  8” X 6” X 1.1” (196 mm x 152 mm x 27.6 mm)

                  Memory

                  32GB LPDDR4x RAM 

                  Processor

                  Snapdragon® 8cx Gen 3 compute platform

                  Security

                  sTPM 

                  Software

                  Windows 11 Pro

                  Weight

                  960g

                  What’s in the box

                  Windows Dev Kit 2023
                  PSU Box
                  PSU Cable
                  Warranty and Compliance Guide​

                  Storage

                  512GB fast NVMe Storage

                  Graphics

                  Qualcomm® Adreno™
                  GPU, Snapdragon™ 8cx Gen 3

                  Connections

                  2x USB-C USB3.2 Gen 2 
                  3x USB-A USB3.2 Gen 2 
                  Mini-Display Port (supporting HBR2) connecting to primary monitor  
                  Ethernet Port (RJ45) 

                  Wireless
                  Wi-Fi 6 
                  Bluetooth 5.1

                  Exterior

                  Materials: Shell made with 20% recycled ocean plastic 

                  Color: Black 

                  Physical buttons: Power button, boot button and UEFI button 

                  Warranty
                  1-year limited hardware warranty​

                  Comment


                    #39
                    NinjaTrader 8 was designed to take full advantage of modern PC architecture. To achieve the highest possible level of performance, NinjaTrader 8 will utilize all available CPU cores and additional memory resources. Depending on your actual usage with NinjaTrader, you may need more or less resources than the average user. Additional memory will be of direct benefit when running strategy optimizations, and the amount of additional memory needed is proportional to the number of CPU cores available. NinjaTrader can fully utilize a CPU with up to 64 logical processors (cores), using a CPU with greater than 64 logical processors is not advised (this would mean processors would be grouped, which is not supported).
                    • 2 (GHz) or faster quad core 64-bit processor
                    • 8 GB RAM
                    • DirectX 10 compatible graphics card
                    • SSD Hard Drive

                    Comment


                      #40
                      Originally posted by shodson View Post
                      I would love to see an update about this. I'd love to get one of these Windows Dev Kit 2023 computers and throw NT 8 on it, but I'm not sure it would work.

                      Build, debug, and test native Windows apps for Arm with Windows Dev Kit 2023, a compact desktop computer engineered for developer workloads.


                      Price $599

                      Dimensions

                      8” X 6” X 1.1” (196 mm x 152 mm x 27.6 mm)

                      Memory

                      32GB LPDDR4x RAM 

                      Processor

                      Snapdragon® 8cx Gen 3 compute platform

                      Security

                      sTPM 

                      Software

                      Windows 11 Pro

                      Weight

                      960g

                      What’s in the box

                      Windows Dev Kit 2023
                      PSU Box
                      PSU Cable
                      Warranty and Compliance Guide​

                      Storage

                      512GB fast NVMe Storage

                      Graphics

                      Qualcomm® Adreno™
                      GPU, Snapdragon™ 8cx Gen 3

                      Connections

                      2x USB-C USB3.2 Gen 2 
                      3x USB-A USB3.2 Gen 2 
                      Mini-Display Port (supporting HBR2) connecting to primary monitor  
                      Ethernet Port (RJ45) 

                      Wireless
                      Wi-Fi 6 
                      Bluetooth 5.1

                      Exterior

                      Materials: Shell made with 20% recycled ocean plastic 

                      Color: Black 

                      Physical buttons: Power button, boot button and UEFI button 

                      Warranty
                      1-year limited hardware warranty​
                      I just ordered one of these. I'll try to install ninjatrader and report back.

                      Comment


                        #41
                        shodson Hey! I was able to successfully install NinjaTrader8 on the windows dev kit. Flawless.

                        Comment


                          #42
                          What would it be? Does it really solve the loading latencies of parallels/m1?

                          Comment

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