AlgoHosting

Backtest Servers · Dedicated compute for strategy research

Dedicated Backtest Servers for serious strategy research and optimization.

CPU-heavy backtesting, strategy generation, optimization batches, and validation workflows require different infrastructure than live trading. Backtest Servers give you compute-oriented infrastructure for research · separate from your execution environment.

View Backtest PlansExplore Trading VPS
  • Compute-oriented planning for CPU-heavy workloads
  • Remote Windows environment: access from anywhere
  • Separate from live trading execution nodes
  • StrategyQuant X, optimizers, and validation workflows
  • Designed for long-running research sessions

Infrastructure designed for research

A dedicated compute environment for strategy building and backtesting.

Most traders run backtesting, optimization, and validation from the same machine they use for live execution · or from a general-purpose VPS shared with live terminals. Backtest Servers are a separate infrastructure category built for one purpose: giving research workloads a clearer compute profile.

  • Long-running sessions moved away from local shutdowns, sleep settings, and desktop resource pressure
  • Separated from live execution nodes so research jobs never compete with your live terminals
  • Remote Windows environment accessible over RDP from any device at any time
  • Designed for StrategyQuant X, heavy optimizers, and data-intensive backtesting workflows

backtest server · research session

Session age
3d 14h 27m
Platform
StrategyQuant X
OS
Windows Server 2022
Access
RDP (Encrypted)

Job queue

  • Backtest batch · EURUSD 2010-2024complete
  • Optimizer · 2400 iterationsrunning
  • Monte Carlo · 1000 runs queuedqueued

Infrastructure separation

Research workloads and live trading have different infrastructure requirements.

Backtesting and optimization are CPU-intensive processes that create sustained, high-load demand on compute resources. Live trading terminals need stable, low-latency environments with consistent connectivity. Mixing both on the same node category creates resource contention and operational complexity that benefits neither workload.

Backtest Server

Research · Optimization · Validation

  • Sustained CPU load
  • Long-running sessions
  • Multi-thread optimizers
  • Large data sets

Live Trading VPS

Execution · Live accounts · Route-aware planning

  • Broker-aware routing
  • Always-on terminal runtime
  • MT4/MT5 or cTrader
  • Stable platform setup
  • CPU-intensive backtests consume threads aggressively · this should not be co-located with live execution terminals
  • Execution infrastructure is optimized for latency; research infrastructure is optimized for compute throughput
  • Separating the two environments gives you clearer operational separation and easier troubleshooting
  • Build and validate on Backtest Servers, deploy finished strategies on a dedicated Trading VPS

Who this is for

Built for serious quant research and strategy development.

Whether you're generating strategies from scratch or validating a portfolio across years of data, Backtest Servers provide a compute-oriented environment with clearer workload separation.

  • StrategyQuant X Users

    Run SQX strategy generation, genetic evolution, and Monte Carlo validation on dedicated compute without tying up your local machine.

  • Quant Researchers

    Explore systematic strategy spaces, run multi-pass backtests, and prototype new models in a remote research environment.

  • Optimization Batch Runners

    Execute large parameter sweeps and multi-symbol optimization jobs in parallel without competing for desktop CPU cycles.

  • Portfolio Validation

    Validate complete strategy portfolios across extended data ranges and simulate forward-test behaviour before going live.

  • Execution Logic Testing

    Test order handling, slippage models, and execution simulations at scale without polluting a live trading environment.

  • Remote Strategy Development

    Build, iterate, and refine strategies from any device with remote access to a clean Windows workspace.

What makes Backtest Servers different

Infrastructure built around your research workflow.

Every characteristic of Backtest Servers is oriented around one objective: giving your strategy research a cleaner, more predictable workspace before anything moves to live trading.

  • Planned for CPU-Heavy Workloads

    Backtest Servers are sized and configured for sustained CPU pressure. the type that strategy generation and parallel optimization jobs generate.

  • Long-Running Session Stability

    Backtest Servers are designed to keep long research jobs away from local workstation restarts, power issues, and desktop resource pressure.

  • Remote Windows Environment

    Full Windows Server environment accessible over RDP from any device. Windows, macOS, or mobile. Your research session is always a connection away.

  • Separated from Execution Infrastructure

    Research nodes are not shared with live trading instances. Your backtest jobs do not interfere with. or depend on. your execution environment.

  • Scalable Compute Options

    Choose the tier that fits your current research intensity. Scale up for heavy strategy generation, scale back during lighter validation periods.

  • Clean Research-to-Deployment Path

    Once your strategy is production-ready, move it to a dedicated MetaTrader, cTrader, or NinjaTrader VPS. purpose-built for live execution.

Infrastructure comparison

Why Backtest Servers fit research workloads better than generic alternatives.

A direct look at how your local machine, a standard trading VPS, and a dedicated Backtest Server compare for the workflows that matter.

Local Machine

Designed for research workloads
No
Sustained CPU headroom
Limited by hardware
Long-running job fit
No
Remote access from any device
No
Separate from live trading infra
N/A
Scalable for heavier jobs
No
Research workflow fit
Poor
Production handoff to live trading
Manual

Standard Trading VPS

Designed for research workloads
No
Sustained CPU headroom
Execution-first
Long-running job fit
Possible
Remote access from any device
Yes
Separate from live trading infra
No
Scalable for heavier jobs
Limited
Research workflow fit
Moderate
Production handoff to live trading
Possible

Backtest Server

Recommended

Designed for research workloads
Yes
Sustained CPU headroom
Research-oriented
Long-running job fit
Better suited
Remote access from any device
Yes
Separate from live trading infra
Yes
Scalable for heavier jobs
Yes
Research workflow fit
Excellent
Production handoff to live trading
Structured path

Recommended workflow

Build on Backtest Servers. Deploy on Trading VPS.

A structured path from strategy research to live deployment · using the right infrastructure at each stage.

  1. Build

    Build on Backtest Servers

    Run StrategyQuant X, heavy optimizers, and multi-pass backtests on dedicated compute with clearer CPU headroom and fewer local-machine constraints.

  2. Validate

    Validate and Refine

    Run Monte Carlo validation, walk-forward tests, and portfolio stress checks on the same infrastructure. Iterate until the system is ready for live market conditions.

  3. Deploy

    Deploy on Live Trading VPS

    Move production-ready strategies to a dedicated MetaTrader, cTrader, or NinjaTrader VPS. infrastructure built for execution speed and live account reliability.

The right tool for each phase. Backtest Servers handle the research and validation. Your Trading VPS handles live execution. Keep the two environments clean and separate.

View Backtest PlansTrading VPS

Backtest Server plans

Choose the compute tier that fits your research workload.

All plans include Windows Server 2022, full Administrator access, one dedicated IPv4 and a compute-oriented environment separate from live trading infrastructure. Every delivered environment meets or exceeds the concrete purchased specification shown below.

Research

A dedicated research environment for focused backtests, data preparation and smaller parallel optimization workloads.

€179/ month

For focused strategy research, MT5 Strategy Tester, smaller StrategyQuant projects and Python-based backtesting.

vCPU
8 vCPU
RAM
32 GB RAM
Storage
500 GB usable NVMe storage
OS
Windows Server 2022
  • Full Administrator access
  • One dedicated IPv4
  • 1 Gbps-class network
  • Manual provisioning · 1–3 business days

Quant

Most Popular

More cores and memory for parallel optimization, walk-forward analysis and larger multi-market research workloads.

€329/ month

For multi-symbol backtesting, walk-forward analysis, larger StrategyQuant projects and several concurrent workers.

vCPU
16 vCPU
RAM
64 GB RAM
Storage
1 TB usable NVMe storage
OS
Windows Server 2022
  • Full Administrator access
  • One dedicated IPv4
  • 1 Gbps-class network
  • Manual provisioning · 1–3 business days

Alpha

High-density compute for large optimization runs, portfolio research and multiple concurrent backtesting workloads.

€499/ month

For large parameter sweeps, portfolio-scale research, high worker counts and professional quant teams.

vCPU
32 vCPU
RAM
128 GB RAM
Storage
2 TB usable NVMe storage
OS
Windows Server 2022
  • Full Administrator access
  • One dedicated IPv4
  • 1 Gbps-class network
  • Manual provisioning · 1–3 business days
  • StrategyQuant X compatible
  • CPU-oriented research
  • Windows Server included
  • Full admin RDP access
  • Separate from live trading
  • Long research sessions

Backtest servers are manually matched to current high-performance inventory. Exact processor model, generation, storage layout and datacenter may vary slightly. Your allocated vCPU, RAM and usable NVMe capacity will always meet or exceed the purchased plan specification.

Manual provisioning normally completes within 1–3 business days.

Need more than Alpha?

Talk to us about higher memory footprints, additional NVMe storage or multi-node research environments.

Request custom infrastructure

Checkout and setup clarity

What happens around Backtest Servers after you choose a plan.

The product pages help you choose infrastructure by workload. Checkout, billing, support, and software setup responsibilities stay clear before you commit.

Contact supportCheck status

  • Secure checkout

    Plan selection and payment flow through the existing Stripe checkout path.

  • Dashboard and billing

    Customers have a dashboard path for account, server, and billing context after order.

  • Support and status

    Business-hours support targets and public status context are visible before checkout.

  • Uptime target

    99.99% infrastructure uptime target for infrastructure availability, without trading-result promises.

  • No trading promises

    Infrastructure guidance only. Trading software setup and market outcomes remain your responsibility.

Algo Hosting provides Windows VPS infrastructure, plan guidance, dashboard paths, and support context. You remain responsible for broker accounts, platform licensing, trading software configuration, and trading risk. Support during Central European business hours, Monday-Friday, excluding holidays and incident spikes.

Complete the workflow

When your strategies are ready for live trading.

Once validated on Backtest Servers, deploy finished strategies on platform-specific VPS infrastructure built for live trading workflows.

Backtest Server FAQ

Common questions about Backtest Servers.

Practical answers for quant researchers, StrategyQuant X users, and algo traders evaluating dedicated backtesting infrastructure.

Start your research infrastructure

Start building on infrastructure made for serious strategy research.

Stop running StrategyQuant X and heavy optimization jobs on the same machine as your live terminals. Backtest Servers give your research workloads a separate compute-oriented workspace with a cleaner path to live deployment.

View Backtest PlansExplore Trading VPS

  • Dedicated research compute

    Compute planning is oriented around backtest and optimization workloads instead of live execution terminals.

  • Windows remote environment

    Full Windows Server with admin access via RDP. Install StrategyQuant X, run optimizers, and manage long research sessions from any device.

  • Clean path to live trading

    Once your strategy is validated, deploy it to a dedicated MetaTrader, cTrader, or NinjaTrader VPS built for execution.