Built for Brokers Who Own Their Stack
Your rules.
A self-hosted trading platform means the entire system — trading engine, matching core, back-office, APIs — runs in infrastructure you control. Not shared vendor infrastructure. Not multi-tenant SaaS. Your environment.
With ScaleTrade deployed on-premise or in your own cloud account, every component is under your control: the database, the logs, the configuration, and uptime management. There is no intermediary between your brokerage operations and the technology stack you run.
This model is commonly chosen by institutional brokers, prop trading firms, and regulated entities where infrastructure control is critical.
A self-hosted trading platform is a brokerage software system deployed and operated on infrastructure owned or leased by the broker — as opposed to a SaaS model where the vendor runs the platform on vendor-controlled environments.
In the context of financial markets, self-hosted typically refers to on-premise installation or deployment into a private cloud account, dedicated VPS, or bare-metal environment controlled by the broker. This model is distinct from managed SaaS trading platforms, where the infrastructure is owned and operated by the technology vendor.
ScaleTrade is designed from the ground up to operate in this model. Every component — from the trading engine to the risk management layer and liquidity gateways — can be installed on broker-controlled infrastructure with no runtime dependency on ScaleTrade-managed servers.
your infrastructure
What actually differs
The debate between self-hosted and cloud-based brokerage infrastructure is fundamentally about who bears operational responsibility — and who retains control. Cloud-based or SaaS trading platforms handle infrastructure management on behalf of the broker, which reduces initial setup effort but introduces dependency on a third party for uptime, security, data access, and pricing.
Self-hosted infrastructure shifts more operational responsibility to the broker, but in return provides unrestricted access to every layer of the system. This matters most when regulatory requirements mandate specific data residency rules, when latency requirements demand co-location with an exchange, and when trading volume makes usage-based SaaS pricing economically inefficient.
For brokers operating at institutional scale — or planning to reach it — self-hosted infrastructure is frequently the preferred model. The ability to tune execution parameters, manage uptime directly, and audit configuration changes without depending on a third party can become a meaningful operational advantage.
self-hosted infrastructure
Brokerage infrastructure encompasses more than a trading terminal. A complete self-hosted brokerage system includes a high-performance trading engine, a matching core for order book management, a back-office system for client account administration, connectivity gateways to exchanges and liquidity providers, and APIs for integration with external systems including CRM, payment processors, and reporting tools.
ScaleTrade covers this entire stack within a single self-hosted deployment. The platform includes web and mobile trading terminals, a full back-office module, a plugin system for custom logic, and connectivity to major liquidity providers and exchanges across Forex, equities, and futures markets. Brokers deploying ScaleTrade do not need to assemble these components from multiple vendors — the infrastructure stack operates as an integrated system.
When evaluating brokerage infrastructure options, the key question is not only what technology is available, but how it integrates and who controls it. A self-hosted approach with ScaleTrade means the broker controls the stack end-to-end — from the trading engine at the core to the client terminal at the front.
in four steps
The trading engine is the core of any brokerage system. It receives orders, applies risk rules, and routes them to execution. Depending on the environment, latency can be measured at different levels — engine processing time, network routing time, and end-to-end order execution are not the same metric.
ScaleTrade's trading engine is built for ultra-low latency operation. When deployed on appropriately provisioned hardware and co-located with a liquidity provider or exchange, engine-side execution can operate below 1 millisecond. End-to-end execution latency, however, depends on network conditions, client location, and deployment architecture.
For brokers running algorithmic trading strategies, offering direct market access (DMA), or competing on execution quality, the ability to deploy a self-hosted trading engine with co-location capability can be both a technical and commercial advantage. ScaleTrade's architecture supports this model without requiring fundamental changes to the platform design.
trading infrastructure?