Same region does not mean same latency
Inside one exchange-adjacent footprint, different instance candidates can show different RTT, jitter, and tail profiles.
Benchmark-Driven Trading Infrastructure
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.
Why teams miss the edge
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.
Inside one exchange-adjacent footprint, different instance candidates can show different RTT, jitter, and tail profiles.
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.
Latency-sensitive workloads need a different host posture than a general-purpose cloud default tuned for efficiency and sharing.
Internal teams still need the benchmark harness, candidate ranking logic, drift monitoring, and rollout discipline before the infrastructure decision is usable.
Core differentiator
HFTCloud evaluates feasible exchange-adjacent candidates, compares the path that actually matters, and turns the output into a rollout-ready deployment recommendation.
Select the exchange, workload profile, and initial rollout objective.
Measure traffic segments and compare the candidate set inside the relevant footprint rather than guessing by region name.
Apply host, OS, and network posture suited to latency-sensitive trading rather than generic cloud defaults.
Roll out in Managed Cloud, Customer Cloud, or Self-Hosted mode without changing the benchmark logic.
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.
5-business-day output
The sprint produces a concrete infrastructure decision, not a vanity latency claim.
Feasible exchange-adjacent candidates scored against the target venue and workload.
Baseline behavior compared with shortlisted candidates under one measurement frame.
RTT, jitter, p95/p99 observations, route flags, and production suitability notes.
Managed Cloud, Customer Cloud, or Self-Hosted decision memo with next-step scope.
Proof artifact
Real reports can be redacted, but the decision structure stays the same: baseline, candidate behavior, risk flags, and rollout recommendation.
Security and access model
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.
Initial scope can start without exposing venue-sensitive strategy or trading secrets.
Customer Cloud uses customer-owned policy boundaries and explicit infrastructure permissions.
Strict-control teams can keep runtime deployment inside their own environment after review.
Operator note
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
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.
Choose the best feasible exchange-adjacent candidate instead of relying on broad region assumptions.
Launch with host and network posture aligned to latency-sensitive trading workloads.
Keep one decision engine while deploying on HFTCloud resources, in your own AWS account, or inside your own perimeter.
Regional connectivity layer
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.
High-priority corridor for desks that need lower variance and cleaner path options between the two main regional hubs.
Stable inter-hub connectivity for teams that need tighter control of tail behavior, resilience, and failover design.
Production-grade path diversity for desks that want cleaner expansion into a full Asia route mesh once value is measured.
Operational flow
Start with a benchmark sprint, decide on the right rollout contour, then keep the deployment measurable.
Choose one exchange, one workload profile, and the first deployment question that matters.
Measure the current path, compare feasible candidates, and rank the shortlist.
Deploy the approved runtime in Managed Cloud, Customer Cloud, or Self-Hosted mode.
Register once, then launch, authorize, or download from one control panel.
Bring in corridor design and path diversity only when it improves the measured result.
Use rollout notes, access state, and benchmark artifacts to keep production infrastructure explainable.
Deployment models
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.
HFTCloud operates the infrastructure, the client launches through the control panel, and billing stays with HFTCloud.
The client keeps the AWS account and direct infrastructure billing while HFTCloud provides orchestration, runtime, and tuning.
The client downloads the package, deploys inside its own environment, and keeps the runtime inside its own perimeter.
Use the deployment models page to compare ownership, billing, access, control-plane flow, and NDA timing before you start the rollout.
Control plane
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.
Register the team, verify access, and set the first benchmark scope.
Choose Managed Cloud, Customer Cloud, or Self-Hosted based on billing and control requirements.
Launch on HFTCloud resources, enter scoped API access for BYOC, or prepare the self-hosted package.
Track benchmark status, deployment notes, and rollout recommendations from one place.
Commercial mechanics
No public vanity latency claims. Start with a scoped benchmark, then move into the rollout model that fits your billing and control boundary.
Qualified teams can start with a 5-business-day benchmark sprint.
Start with one exchange and one workload profile before you expand.
Managed Cloud, Customer Cloud (BYOC), or Self-Hosted.
Production rollouts move to annual commercial terms after validation.
Deployment model is scoped separately from support and engineering retainers.
Who this is for
Narrow enough for real buying conversations, focused on benchmark-backed rollout decisions that trading and platform teams can defend.
Use the benchmark to understand where infrastructure variance is showing up in execution quality, hedge consistency, and PnL sensitivity.
Keep cloud ownership and operational control while using HFTCloud for candidate ranking, tuned rollout, and deployment orchestration.
Lower jitter, tighten quoting behavior, and stabilize venue-to-venue routing with a cleaner runtime baseline.
Start with a benchmark-driven runtime without building a full internal platform team before the infrastructure question is even proven.
Benchmark sprint
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.
No infrastructure replacement is required for the initial validation.
Final commercial terms depend on venue, corridor, workload profile, support level, and required path diversity.
Request a benchmark
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.
Select the target exchange and workload profile
Choose the likely deployment model or mark “not sure”
Review the benchmark scope and qualification
Move measured results into production rollout
FAQ
The benchmark is the constant. The deployment model changes based on control, billing, and internal operating constraints.
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.
No. The benchmark can run alongside the current setup so you can compare the current path against feasible candidates before broader changes.
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.
In Managed Cloud, you pay HFTCloud directly. In Customer Cloud and Self-Hosted, you keep direct cloud and connectivity billing and pay HFTCloud separately.
Public-safe qualification can start without an NDA. Venue-sensitive details and higher-control deployment models may require an NDA earlier in the process.
Yes. One exchange, one workload profile, and one corridor is the recommended starting scope. Expand only after the measured result proves the value.
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?
Begin with one exchange, one workload profile, and one measured question. We will recommend the right rollout contour after the evaluation.