Plainview, United States

Server infrastructure for Algorithmic Trading in Plainview

There is no single correct server for Algorithmic Trading; there is a correct one for the workload, the volume and the budget. For a medium Algorithmic Trading business in Plainview that is about 8 Cores, 128 GB of memory and 3000 GB of storage on Dedicated Server.

Choose your infrastructure → From $1,411.15 USD / month
  • 5 infrastructure tiers
  • Sized for your workload, not a plan name
  • Same price in all 24 locations
Closest location live
Plainview and its closest data centre Plainview joined by a link to the New York data centre, 29 miles away. Plainview New York New York, United States
29 miles from Plainview
1–2 ms estimated round trip

Estimated from fibre distance, not measured from Plainview. Your real figure depends on your connection and route, and lands inside this range.

Choose the infrastructure for your workload

Three sizes of business, each sized from an assumed traffic figure rather than a measured one. If you know your own numbers, tell us and the estimate changes with them.

Small Algorithmic Trading

1–10 people · ~5,000 visits a month


$533.65 USD USD

per month · VDS

  • 4 Cores
  • 48 GB RAM
  • 1000 GB storage
  • GPU on request

About 0.1 requests a second at peak, holding roughly 33.6 GB of working data.

Configure this build →

Large Algorithmic Trading

51+ people · ~500,000 visits a month


$4,063.90 USD USD

per month · Bare Metal

  • 28 Cores
  • 448 GB RAM
  • 4000 GB storage
  • Managed
  • GPU on request

About 6.2 requests a second at peak, holding roughly 384 GB of working data.

Configure this build →

These figures are assumptions stated out loud, not predictions about your business. Memory, cores and disk can all be raised on the same server later, usually within the hour, with no rebuild and no new IP address — so starting one size below the estimate is normally the cheaper mistake.

Why Algorithmic Trading size up this way

Working from about 50,000 visits a month and roughly 26,667 requests a day, storage grows by roughly 200 GB a month at this size, which usually decides the build before CPU does; about 96 GB of data needs to stay in memory to keep queries fast; and each request costs real computation rather than a cache lookup, so cores matter more here than on a typical site.

  • 0.6 req/sec at peak
  • 96 GB working set
  • 200 GB/month growth
  • Linux

Which tiers suit Algorithmic Trading

Including the ones that do not, and why — that is usually the more useful half.

Infrastructure Verdict Why
Shared Hosting Managed space on a shared server Not this one There is no version of this workload that fits on shared hosting.
VPS Flexible virtual infrastructure with full root access Workable Useful for development, notebooks and light inference, but not for training or sustained compute.
VDS Virtual server with resources pinned to you alone Workable Suits CPU-bound preprocessing and data preparation with a guaranteed share of the machine.
Dedicated Server An entire physical server, configured to your specification Recommended Production compute wants the whole machine, with memory bandwidth that is not being shared.
Bare Metal Physical compute for sustained, demanding workloads Recommended Training, inference and simulation belong on physical hardware, with GPUs available on request.

Algorithmic Trading workloads you can host

Backtesting is heavy batch compute over years of tick data, while live execution wants an uncontended core doing nothing else.

  • Strategy execution
  • Backtesting over historical data
  • Tick data storage
  • Risk limits
  • Co-located connectivity

Where your server runs

All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.

Americas coverage 9 live
Americas data centre locations 9 locations across Americas, with New York marked as the closest to Plainview. New York Plainview

Plainview is closest to New York. Every marker costs the same per month.

Show all 24 locations and distances from Plainview ▾
Location Distance Est. round trip
Americas · 9 locations
New York, United States 29 miles 1–2 ms
Toronto, Canada 362 miles 9–17 ms
Chicago, United States 738 miles 18–36 ms
Atlanta, United States 771 miles 19–37 ms
Miami, United States 1,107 miles 27–53 ms
Dallas, United States 1,399 miles 34–68 ms
Seattle, United States 2,425 miles 59–117 ms
Los Angeles, United States 2,473 miles 60–119 ms
Santa Clara, United States 2,579 miles 62–125 ms
Europe, Middle East & Africa · 8 locations
London, United Kingdom 3,436 miles 83–166 ms
Madrid, Spain 3,557 miles 86–172 ms
Amsterdam, The Netherlands 3,619 miles 87–175 ms
Frankfurt, Germany 3,830 miles 92–185 ms
Stockholm, Sweden 3,906 miles 94–189 ms
Milan, Italy 3,991 miles 96–193 ms
Bucharest, Romania 4,730 miles 114–228 ms
Tel Aviv, Israel 5,638 miles 136–272 ms
Asia-Pacific · 7 locations
Tokyo, Japan 6,752 miles 163–326 ms
Delhi NCR, India 7,297 miles 176–352 ms
Mumbai, India 7,771 miles 188–375 ms
Kolkata, India 7,907 miles 191–382 ms
Hong Kong, China 8,050 miles 194–389 ms
Singapore 9,521 miles 230–460 ms
Sydney, Australia 9,963 miles 241–481 ms

Distances are from Plainview. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.

Algorithmic Trading in Plainview

The closest of our 24 data centres to Plainview is New York, about 29 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.

Plainview has a population of about 26,217, which is why the medium build above is the one most likely to fit a Algorithmic Trading business here — though the other two are a click away if it does not. Local time is America/New York, so routine maintenance and backups are scheduled against your overnight rather than ours.

Data stays in the jurisdiction you choose, which matters if you are working to state privacy laws such as the CCPA. Pricing is quoted in USD, and the figure is the same wherever the machine physically sits.

Network reach from Plainview

Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.

Data centre Distance from Plainview Estimated round trip
New Yorkamericas 29 miles 1–2 ms
Torontoamericas 362 miles 9–17 ms
Chicagoamericas 738 miles 18–36 ms

Plainview sits in New York, and every one of our 24 locations costs the same — so the only thing worth optimising is which of them your users are closest to. At the medium size assumed above, that is roughly 26,667 requests a day crossing that link.

Algorithmic Trading hosting in Plainview — FAQs

What size server does a Algorithmic Trading business in Plainview, NY need?
Working from about 50,000 visits a month, we would start at 8 cores, 128 GB of memory and 3000 GB of storage on Dedicated Server. That is an assumption about traffic rather than a measurement of yours — if you know your real figures, the estimate changes with them.
Where would the server for my Plainview, NY business actually run?
The closest of our 24 data centres to Plainview, NY is , about 46 km away. You can choose any of the others at the same price — the server is wherever suits your users, not wherever you happen to be.
Is a VPS enough for Algorithmic Trading, or do we need a dedicated server?
Production compute wants the whole machine, with memory bandwidth that is not being shared. You can move up a tier later on the same data and the same IP address.
Can you host strategy execution for us?
Yes — strategy execution is exactly the kind of workload these builds are sized for, alongside backtesting over historical data and tick data storage. Backtesting is heavy batch compute over years of tick data, while live execution wants an uncontended core doing nothing else.
Can we start smaller and grow?
Yes. Memory, cores and disk can all be raised on the same server, usually within the hour, with no rebuild and no new IP address. Starting one size below your estimate is normally the cheaper mistake.

Other industries in Plainview

Same city, different workload.

Algorithmic Trading hosting nearby

The same workload, in the nearest cities.