Benchmark-Driven Trading Infrastructure

Low-latency trading infrastructure, measured before deployment.

HFTCloud benchmarks exchange-adjacent candidates, compares route behavior, tunes the runtime, and turns the result into a production rollout decision for market making and cross-exchange trading teams.

5 days Benchmark sprint for qualified teams
3 models Managed, BYOC, or self-hosted rollout
1 control plane Register, launch, or download from one panel

Why teams miss the edge

The right region is only the start.

The harder question is what happens inside the exchange-adjacent footprint: which instance is actually closest, which path behaves best today, and how much default cloud tuning is still leaving performance on the table.

Same region does not mean same latency

Inside one exchange-adjacent footprint, different instance candidates can show different RTT, jitter, and tail profiles.

Multiple internal paths create hidden variance

One route may win on median RTT, another on jitter, and another on p99 behavior. The benchmark has to compare feasible candidates under one frame.

Default cloud settings are not built for trading

Latency-sensitive workloads need a different host posture than a general-purpose cloud default tuned for efficiency and sharing.

Build-versus-buy often ignores measurement cost

Internal teams still need the benchmark harness, candidate ranking logic, drift monitoring, and rollout discipline before the infrastructure decision is usable.

Core differentiator

Benchmark-driven placement, route notes, and host tuning in one workflow

HFTCloud evaluates feasible exchange-adjacent candidates, compares the path that actually matters, and turns the output into a rollout-ready deployment recommendation.

01

Scope the target venue

Select the exchange, workload profile, and initial rollout objective.

02

Rank feasible candidates

Measure traffic segments and compare the candidate set inside the relevant footprint rather than guessing by region name.

03

Tune the runtime

Apply host, OS, and network posture suited to latency-sensitive trading rather than generic cloud defaults.

04

Launch in the right contour

Roll out in Managed Cloud, Customer Cloud, or Self-Hosted mode without changing the benchmark logic.

No vanity leaderboard. A deployment decision.

HFTCloud does not sell a generic latency story. It sells a measured shortlist, route notes, a tuned host profile, and a clear next step for rollout inside the operating model you can actually use.

Placement algorithm Benchmark methodology Route diversity One-button rollout

5-business-day output

What you receive after the benchmark sprint

The sprint produces a concrete infrastructure decision, not a vanity latency claim.

01

Ranked candidate shortlist

Feasible exchange-adjacent candidates scored against the target venue and workload.

02

Current path comparison

Baseline behavior compared with shortlisted candidates under one measurement frame.

03

Tail behavior notes

RTT, jitter, p95/p99 observations, route flags, and production suitability notes.

04

Rollout recommendation

Managed Cloud, Customer Cloud, or Self-Hosted decision memo with next-step scope.

Proof artifact

Sample benchmark output

Real reports can be redacted, but the decision structure stays the same: baseline, candidate behavior, risk flags, and rollout recommendation.

hft:cloud / benchmark.memoredacted
venuebinance
workloadmarket-making gateway
baselinecurrent path / compare
CandidateTail profileDecision
Alower median, unstable p99reject
Bstable p95/p99, clean jittershortlist
Cbest route behaviorrecommend
decision: rollout candidate C under Managed or BYOC contour

Security and access model

Start public-safe. Increase access only when the rollout requires it.

HFTCloud does not need full production trading access to qualify a benchmark. BYOC access is scoped to infrastructure actions. Self-hosted packages remain inside the customer perimeter.

Public-safe qualification

Initial scope can start without exposing venue-sensitive strategy or trading secrets.

Scoped BYOC permissions

Customer Cloud uses customer-owned policy boundaries and explicit infrastructure permissions.

Self-hosted perimeter

Strict-control teams can keep runtime deployment inside their own environment after review.

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Operator note

Built by infrastructure operators, not generic cloud consultants.

We care about the details that usually stay outside a cloud-region diagram: ENI layout, host posture, interrupt placement, route variance, clock behavior, p99 drift, rollout discipline, and operational ownership.

What teams buy

Place closer. Route smarter. Run inside the contour that fits your desk.

HFTCloud combines measurement-driven placement, route-aware connectivity, and deployment orchestration so trading teams can move from generic cloud behavior to a reproducible runtime decision.

Measured placement

Choose the best feasible exchange-adjacent candidate instead of relying on broad region assumptions.

Tuned runtime

Launch with host and network posture aligned to latency-sensitive trading workloads.

Controlled rollout

Keep one decision engine while deploying on HFTCloud resources, in your own AWS account, or inside your own perimeter.

Regional connectivity layer

Asia low-latency grid

Deterministic multi-path connectivity between Tokyo, Singapore, and Hong Kong. Start with one corridor or expand into a wider route mesh after the benchmark proves the edge.

Tokyo ↔ Singapore

Primary corridor

High-priority corridor for desks that need lower variance and cleaner path options between the two main regional hubs.

3 providers Dark fiber Microwave Optimized IP

Tokyo ↔ Hong Kong

Production routes

Stable inter-hub connectivity for teams that need tighter control of tail behavior, resilience, and failover design.

3 providers Dark fiber Microwave Optimized IP

Singapore ↔ Hong Kong

Expansion path

Production-grade path diversity for desks that want cleaner expansion into a full Asia route mesh once value is measured.

3 providers Dark fiber Microwave Optimized IP

Operational flow

How HFTCloud works

Start with a benchmark sprint, decide on the right rollout contour, then keep the deployment measurable.

1

Select the initial scope

Choose one exchange, one workload profile, and the first deployment question that matters.

2

Run the benchmark sprint

Measure the current path, compare feasible candidates, and rank the shortlist.

3

Choose the rollout model

Deploy the approved runtime in Managed Cloud, Customer Cloud, or Self-Hosted mode.

4

Launch through the control plane

Register once, then launch, authorize, or download from one control panel.

5

Add routing only where needed

Bring in corridor design and path diversity only when it improves the measured result.

6

Keep the runtime measurable

Use rollout notes, access state, and benchmark artifacts to keep production infrastructure explainable.

Deployment models

Choose how HFTCloud runs

Every production rollout starts with the same benchmark sprint. The difference is where the runtime lives, who owns the account boundary, and how billing works.

Fastest to live

Managed Cloud

HFTCloud operates the infrastructure, the client launches through the control panel, and billing stays with HFTCloud.

  • One operational counterpart
  • Fastest route from benchmark to production
  • Best fit for first rollouts and lean teams

Customer AWS account

Customer Cloud (BYOC)

The client keeps the AWS account and direct infrastructure billing while HFTCloud provides orchestration, runtime, and tuning.

  • Customer-owned cloud spend and access policy
  • Scoped API onboarding through the control panel
  • Best fit for platform-led teams

Maximum isolation

Self-Hosted

The client downloads the package, deploys inside its own environment, and keeps the runtime inside its own perimeter.

  • Earlier technical review and NDA
  • Highest control and change-management fit
  • Annual software and support agreement

Need the detailed comparison?

Use the deployment models page to compare ownership, billing, access, control-plane flow, and NDA timing before you start the rollout.

Managed BYOC Self-hosted

Control plane

Register once. Launch the right way for your desk.

The control panel supports the same benchmark-first workflow across all deployment models: launch on HFTCloud resources, authorize access to your AWS account, or download the package for self-hosted deployment.

1

Create workspace

Register the team, verify access, and set the first benchmark scope.

2

Select deployment model

Choose Managed Cloud, Customer Cloud, or Self-Hosted based on billing and control requirements.

3

Launch or authorize

Launch on HFTCloud resources, enter scoped API access for BYOC, or prepare the self-hosted package.

4

Review rollout artifacts

Track benchmark status, deployment notes, and rollout recommendations from one place.

Commercial mechanics

Commercial structure built around measured rollout

No public vanity latency claims. Start with a scoped benchmark, then move into the rollout model that fits your billing and control boundary.

5 daysBenchmark sprint

Qualified teams can start with a 5-business-day benchmark sprint.

1 venueInitial scope

Start with one exchange and one workload profile before you expand.

3 modelsProduction rollout

Managed Cloud, Customer Cloud (BYOC), or Self-Hosted.

1 yearProduction agreement

Production rollouts move to annual commercial terms after validation.

2 layersCommercial split

Deployment model is scoped separately from support and engineering retainers.

Who this is for

Built for trading teams that care about measured infrastructure decisions

Narrow enough for real buying conversations, focused on benchmark-backed rollout decisions that trading and platform teams can defend.

Head of Trading

Use the benchmark to understand where infrastructure variance is showing up in execution quality, hedge consistency, and PnL sensitivity.

Head of Platform

Keep cloud ownership and operational control while using HFTCloud for candidate ranking, tuned rollout, and deployment orchestration.

Market making desks

Lower jitter, tighten quoting behavior, and stabilize venue-to-venue routing with a cleaner runtime baseline.

Private quant researchers

Start with a benchmark-driven runtime without building a full internal platform team before the infrastructure question is even proven.

Benchmark sprint

Start with a benchmark. Roll out only after the edge is measured.

Use the benchmark sprint as the entry point for every deployment model. The sprint is how HFTCloud turns a placement question into a rollout decision.

What the sprint delivers

  • One exchange and one workload profile
  • Benchmark against the current path
  • Candidate ranking summary
  • Route notes and tuned host recommendation
  • Clear next step for rollout

No infrastructure replacement is required for the initial validation.

How rollout moves into production

  • Managed Cloud: setup fee + monthly fee billed by HFTCloud
  • Customer Cloud (BYOC): direct infrastructure billing, HFTCloud billed separately
  • Self-Hosted: annual software and support agreement
  • Support: standard support included, extended support and engineering scoped separately
  • NDA: earlier for higher-control models and venue-sensitive detail

Final commercial terms depend on venue, corridor, workload profile, support level, and required path diversity.

Request a benchmark

Request a benchmark sprint

Start with the exchange, the workload profile, and the likely deployment contour. We will scope the benchmark and convert the result into a rollout recommendation.

01

Select the target exchange and workload profile

02

Choose the likely deployment model or mark “not sure”

03

Review the benchmark scope and qualification

04

Move measured results into production rollout

Target Exchange
Instance Profile
Primary Goal

Qualified teams can start with a 5-business-day benchmark sprint.

FAQ

Questions teams ask before they start the benchmark

The benchmark is the constant. The deployment model changes based on control, billing, and internal operating constraints.

Do all plans start with a benchmark sprint?

Yes. Qualified teams start with a 5-business-day benchmark sprint so placement, route notes, and host tuning are based on measured behavior rather than assumptions.

Do we need to replace our current infrastructure to run the benchmark?

No. The benchmark can run alongside the current setup so you can compare the current path against feasible candidates before broader changes.

How do Managed Cloud, Customer Cloud, and Self-Hosted differ?

Managed Cloud runs on HFTCloud-operated resources. Customer Cloud runs in your AWS account with HFTCloud orchestration. Self-Hosted runs inside your own environment from a downloaded package.

Who pays cloud and connectivity providers?

In Managed Cloud, you pay HFTCloud directly. In Customer Cloud and Self-Hosted, you keep direct cloud and connectivity billing and pay HFTCloud separately.

When is an NDA required?

Public-safe qualification can start without an NDA. Venue-sensitive details and higher-control deployment models may require an NDA earlier in the process.

Can we start with one exchange or one route only?

Yes. One exchange, one workload profile, and one corridor is the recommended starting scope. Expand only after the measured result proves the value.

What is included in support and what is scoped separately?

Every production plan includes onboarding, product support, and platform updates. Extended response windows, custom integrations, and non-standard engineering are scoped separately.

Ready to move?

Start with a benchmark sprint

Begin with one exchange, one workload profile, and one measured question. We will recommend the right rollout contour after the evaluation.