Engine Core
Vectorized or event-driven backtest engine.
A backtesting platform lets you and your team test strategies at scale - vectorized or event-driven engines, realistic cost models, walk-forward and Monte Carlo, and a UI to compare results. We build custom backtesting engines and platforms for traders, funds, and trading-tool companies.
Agreed scope · Reviewable milestones · Documented handover

Vectorized/Event-Driven
Realistic Costs
Walk-Forward
Web UI
A backtesting platform lets you and your team test strategies at scale - vectorized or event-driven engines, realistic cost models, walk-forward and Monte Carlo, and a UI to compare results. We build custom backtesting engines and platforms for traders, funds, and trading-tool companies.
Vectorized or event-driven backtest engine.
Bias-free design and realistic fills.
Out-of-sample and Monte Carlo built in.
Compare strategies, params, and equity curves.
Commission, spread, slippage, and funding.
Plug in your market-data sources.
Our backtesting platform development service builds custom backtesting engines and platforms - vectorized or event-driven, with realistic costs, walk-forward, and a comparison UI.
A backtest engine is only as trustworthy as its integrity. We build look-ahead-bias-free engines with realistic cost models so results reflect reality.
We deliver internal engines for funds and multi-user SaaS platforms for trading-tool businesses, with data integration and a results UI.
Full source ownership, documentation, and support.
We agree the requirements and review working milestones together. The process below is adapted to the systems, testing and operating needs of your project.
We define the asset classes, data, and engine type your strategies need.
Accurate cost, slippage, and look-ahead-bias-free design - the integrity of the engine.
We build the engine and UI and validate against known results.
Deployment with docs, then handover or ongoing support.
Share the workflow you want to improve, the platforms you use and any existing code or examples. We’ll work through the requirements, dependencies and acceptance checks with you before proposing a build.
Each custom project is quoted individually. Hosting, external services and ongoing maintenance are made clear in the agreed scope.
Talk through your requirementsAnswers to the questions that help define your project.
We review your requirements, integrations and delivery scope before preparing a project-specific quote. The proposal sets out the work, milestones and any ongoing costs. Changes are discussed and agreed before additional work begins.
Either - vectorized for speed on simpler strategies, event-driven for realistic order handling and complex logic. We advise per your needs.
Both - we build internal engines for funds and multi-user SaaS platforms for trading-tool companies.
Look-ahead-bias-free design, realistic cost and slippage models, and walk-forward plus Monte Carlo validation.
Always, before any details are shared.
Specialist trading engineers, not generalists.
Backtested/validated before you rely on it.
Full source-code ownership, docs, and 30-day support.
Transparent fixed pricing and a 5.0-star Upwork record.
We define data and engine type, build bias-free realistic-cost integrity first, validate against known results, then deploy with a comparison UI and docs.
Tell us what you need from backtesting platform development. We’ll work through the scope and next steps together.