Plum, United States
Server infrastructure for Trading & Financial Application Operators in Plum
What Trading & Financial Application Operators actually need from a server is predictable performance under load, and enough headroom to grow into. For a medium Trading & Financial Applications business in Plum that is about Single Core, 10 GB of memory and 100 GB of storage on VPS.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Plum. 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 Most likely here
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
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 Plum, business by business
These are not the same workload. Sized at the medium band, here is what each one actually needs.
| Business | Build | Tier | What decides it |
|---|---|---|---|
| Trading Platforms | 4 vCPU · 48 GB · 200 GB | VDS | Judged on consistency rather than throughput: a predictable few milliseconds beats a fast average with a slow... |
| Algorithmic Trading | 8 vCPU · 128 GB · 3000 GB | Dedicated Server | Backtesting is heavy batch compute over years of tick data, while live execution wants an uncontended core doi... |
| Forex Brokers | 4 vCPU · 48 GB · 200 GB | VDS | The market never closes during the week, so there is no maintenance window in the ordinary sense. |
| Crypto Exchanges | 6 vCPU · 96 GB · 3000 GB | Dedicated Server | 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 | 6 vCPU · 96 GB · 4000 GB | Dedicated Server | Ingest never stops and the archive never shrinks — this is a storage and throughput problem before anything el... |
| Investment Firms | 4 vCPU · 48 GB · 250 GB | VDS | 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.
Plum is closest to Toronto. Every marker costs the same per month.
Show all 24 locations and distances from Plum ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Toronto, Canada | 219 miles | 5–11 ms |
| New York, United States | 302 miles | 7–15 ms |
| Chicago, United States | 420 miles | 10–20 ms |
| Atlanta, United States | 532 miles | 13–26 ms |
| Miami, United States | 1,019 miles | 25–49 ms |
| Dallas, United States | 1,083 miles | 26–52 ms |
| Seattle, United States | 2,142 miles | 52–103 ms |
| Los Angeles, United States | 2,145 miles | 52–104 ms |
| Santa Clara, United States | 2,257 miles | 54–109 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,703 miles | 89–179 ms |
| Madrid, Spain | 3,862 miles | 93–186 ms |
| Amsterdam, The Netherlands | 3,877 miles | 94–187 ms |
| Frankfurt, Germany | 4,092 miles | 99–198 ms |
| Stockholm, Sweden | 4,119 miles | 99–199 ms |
| Milan, Italy | 4,269 miles | 103–206 ms |
| Bucharest, Romania | 4,986 miles | 120–241 ms |
| Tel Aviv, Israel | 5,911 miles | 143–285 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,609 miles | 160–319 ms |
| Delhi NCR, India | 7,447 miles | 180–360 ms |
| Mumbai, India | 7,960 miles | 192–384 ms |
| Hong Kong, China | 8,005 miles | 193–386 ms |
| Kolkata, India | 8,012 miles | 193–387 ms |
| Singapore | 9,536 miles | 230–460 ms |
| Sydney, Australia | 9,634 miles | 233–465 ms |
Distances are from Plum. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Trading & Financial Application Operators in Plum
The closest of our 24 data centres to Plum is Toronto, about 219 miles away. Round-trip time is set by physical distance more than by anything else, so the nearest site is usually the right one.
Plum has a population of about 27,505, which is why the medium 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 Plum
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Plum | Estimated round trip |
|---|---|---|
| Torontoamericas | 219 miles | 5–11 ms |
| New Yorkamericas | 302 miles | 7–15 ms |
| Chicagoamericas | 420 miles | 10–20 ms |
Plum sits in Pennsylvania, 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 50,000 requests a day crossing that link.
Trading & Financial Application Operators hosting in Plum — FAQs
What size server does a Trading & Financial Applications business in Plum, PA need?
Where would the server for my Plum, PA 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 Plum
Same city, different workload.
Trading & Financial Application Operators hosting nearby
The same workload, in the nearest cities.