Charlotte, United States
Server infrastructure for Trading & Financial Application Operators in Charlotte
There is no single correct server for Trading & Financial Application Operators; there is a correct one for the workload, the volume and the budget. For a large Trading & Financial Applications business in Charlotte that is about 2 Cores, 32 GB of memory and 350 GB of storage on VDS.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Charlotte. 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 Trading & Financial Applications
1–10 people · ~5,000 visits a month
$78.50 USD USD
per month · VPS
- Single Core
- 6 GB RAM
- 50 GB storage
About 0.2 requests a second at peak, holding roughly 2.1 GB of working data.
Configure this build →Medium Trading & Financial Applications
11–50 people · ~50,000 visits a month
$116.30 USD USD
per month · VPS
- Single Core
- 10 GB RAM
- 100 GB storage
- Managed
About 2.3 requests a second at peak, holding roughly 6 GB of working data.
Configure this build →Large Trading & Financial Applications Most likely here
51+ people · ~500,000 visits a month
$347.35 USD USD
per month · VDS
- 2 Cores
- 32 GB RAM
- 350 GB storage
- Managed
About 23.2 requests a second at peak, holding roughly 24 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.
Which tiers suit Trading & Financial Application Operators
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 | Persistent connections and custom ports are exactly what a shared platform does not permit. |
| VPS Flexible virtual infrastructure with full root access | Workable | Enough for a small server or a test instance, though a noisy neighbour shows up immediately as jitter. |
| VDS Virtual server with resources pinned to you alone | Recommended | Pinned cores are what keep tick rate and call quality steady; on a contended instance they are not. |
| Dedicated Server An entire physical server, configured to your specification | Recommended | Single-tenant hardware removes the last source of variance, which is what these workloads are judged on. |
| Bare Metal Physical compute for sustained, demanding workloads | Workable | For operators running many instances at once on hardware they control. |
Trading & Financial Application Operators workloads you can host
- Trading application
- Market data feeds
- Order management
- Backtesting
- Risk & reporting
Trading & Financial Applications in Charlotte, business by business
These are not the same workload. Sized at the large band, here is what each one actually needs.
| Business | Build | Tier | What decides it |
|---|---|---|---|
| Trading Platforms | 16 vCPU · 196 GB · 700 GB | Dedicated Server | Judged on consistency rather than throughput: a predictable few milliseconds beats a fast average with a slow... |
| Algorithmic Trading | 28 vCPU · 448 GB · 4000 GB | Bare Metal | Backtesting is heavy batch compute over years of tick data, while live execution wants an uncontended core doi... |
| Forex Brokers | 16 vCPU · 196 GB · 800 GB | Dedicated Server | The market never closes during the week, so there is no maintenance window in the ordinary sense. |
| Crypto Exchanges | 20 vCPU · 320 GB · 4000 GB | Bare Metal | Twenty-four hours a day with no weekend, and a node that has to stay in sync with a chain that never pauses. |
| Market Data Providers | 20 vCPU · 320 GB · 4000 GB | Bare Metal | Ingest never stops and the archive never shrinks — this is a storage and throughput problem before anything el... |
| Investment Firms | 16 vCPU · 196 GB · 900 GB | Dedicated Server | Reporting periods drive the load, and investor statements are a deadline with regulatory weight behind it. |
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Charlotte is closest to Atlanta. Every marker costs the same per month.
Show all 24 locations and distances from Charlotte ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Atlanta, United States | 226 miles | 5–11 ms |
| New York, United States | 531 miles | 13–26 ms |
| Toronto, Canada | 587 miles | 14–28 ms |
| Chicago, United States | 587 miles | 14–28 ms |
| Miami, United States | 655 miles | 16–32 ms |
| Dallas, United States | 928 miles | 22–45 ms |
| Los Angeles, United States | 2,115 miles | 51–102 ms |
| Santa Clara, United States | 2,276 miles | 55–110 ms |
| Seattle, United States | 2,281 miles | 55–110 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,991 miles | 96–193 ms |
| Madrid, Spain | 4,089 miles | 99–197 ms |
| Amsterdam, The Netherlands | 4,174 miles | 101–202 ms |
| Frankfurt, Germany | 4,384 miles | 106–212 ms |
| Stockholm, Sweden | 4,452 miles | 107–215 ms |
| Milan, Italy | 4,542 miles | 110–219 ms |
| Bucharest, Romania | 5,284 miles | 128–255 ms |
| Tel Aviv, Israel | 6,190 miles | 149–299 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,888 miles | 166–333 ms |
| Delhi NCR, India | 7,808 miles | 188–377 ms |
| Mumbai, India | 8,308 miles | 201–401 ms |
| Hong Kong, China | 8,341 miles | 201–403 ms |
| Kolkata, India | 8,381 miles | 202–405 ms |
| Sydney, Australia | 9,508 miles | 230–459 ms |
| Singapore | 9,892 miles | 239–478 ms |
Distances are from Charlotte. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Trading & Financial Application Operators in Charlotte
We work with businesses across Uptown, South End, NoDa, Ballantyne and Plaza Midwood. Charlotte is a booming finance and growth hub where polished, fast sites build trust.
The closest of our 24 data centres to Charlotte is Atlanta, about 226 miles away. Choosing the closest data centre is the cheapest performance improvement available, and it costs nothing extra.
Charlotte has a population of about 911,311, which is why the large build above is the one most likely to fit a Trading & Financial Applications 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 Charlotte
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Charlotte | Estimated round trip |
|---|---|---|
| Atlantaamericas | 226 miles | 5–11 ms |
| New Yorkamericas | 531 miles | 13–26 ms |
| Torontoamericas | 587 miles | 14–28 ms |
Charlotte sits in North Carolina, 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 large size assumed above, that is roughly 500,000 requests a day crossing that link.
Trading & Financial Application Operators hosting in Charlotte — FAQs
What size server does a Trading & Financial Applications business in Charlotte, NC need?
Where would the server for my Charlotte, NC business actually run?
Is a VPS enough for Trading & Financial Application Operators, or do we need a dedicated server?
Can you host trading application for us?
Can we start smaller and grow?
Other industries in Charlotte
Same city, different workload.
Trading & Financial Application Operators hosting nearby
The same workload, in the nearest cities.