Clean Data
Survivorship-bias-free, properly-resolved historical data.
Professional trading strategy backtesting and development - fee- and slippage-aware backtests, walk-forward validation, and Monte Carlo analysis so you know the edge before going live.
Agreed scope · Reviewable milestones · Documented handover

Vectorized Backtests
Walk-Forward Analysis
Monte Carlo
Curve-Fit Detection
We backtest and develop trading strategies the honest way - realistic fees, slippage, and spreads; walk-forward validation; and Monte Carlo stress tests that expose fragility before your capital does. We would rather tell you a strategy has no edge than build you a bot that loses money.
Survivorship-bias-free, properly-resolved historical data.
Realistic commissions, spread, and slippage modelled in.
Out-of-sample testing to catch over-fitting.
Drawdown and risk-of-ruin distributions, not single curves.
We actively hunt look-ahead bias and over-optimisation.
Signal research and feature work to find or sharpen an edge.
Our backtesting and strategy development service tells you whether a trading idea actually has an edge - using fee- and slippage-aware backtests, walk-forward validation, and Monte Carlo analysis, not cherry-picked curves.
A backtest is only as honest as its assumptions. We model real costs, avoid look-ahead bias and unrealistic fills, and use survivorship-bias-free data so the equity curve reflects what would actually have happened.
Walk-forward analysis tests out-of-sample performance to catch over-fitting, and Monte Carlo simulation estimates the range of drawdowns and risk of ruin - so you size positions with eyes open.
If a strategy validates, we can take it all the way to automation - an MT4/MT5 EA, a crypto bot, or a TradingView system. If it does not, we will tell you plainly and save you from an expensive mistake.
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 rules precisely and source clean, survivorship-bias-free data at the right resolution - garbage data produces garbage backtests.
We build a fee- and slippage-aware backtest, avoiding look-ahead bias and unrealistic fills. The equity curve reflects reality, not fantasy.
We validate out-of-sample with walk-forward analysis and run Monte Carlo simulations to estimate drawdown and ruin risk under reshuffled conditions.
You get a clear verdict: edge or no edge, and if there is one, the conditions under which it holds - plus a path to automation if you want it.
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.
Most strategies look great on the data they were tuned on and fail live. Fee-aware, walk-forward, Monte-Carlo-validated backtests expose that before you risk capital.
Clean, survivorship-bias-free historical data at the right resolution for your strategy - tick, minute, or daily.
Yes. We would rather lose the project than build a bot that loses your money. An honest no is part of the service.
Yes - if it validates, we can build the MT4/MT5 EA, crypto bot, or TradingView system to run it.
Always, before any strategy details are shared.
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.
We are honest to a fault - an edge verdict you can trust, even when it is no.
Fee-aware, walk-forward, Monte-Carlo methodology, not pretty single curves.
Clean, bias-free data and rigorous look-ahead audits.
A direct path to automation if your strategy validates.
We audit the strategy and data, build a fee- and slippage-aware backtest free of look-ahead bias, validate out-of-sample with walk-forward analysis, stress-test with Monte Carlo, and deliver an honest edge verdict with risk guidance - and a path to automation if it holds.
Tell us what you need from backtesting & strategy development. We’ll work through the scope and next steps together.