Backtesting Engines

Know your edge before you risk real capital

Spreadsheet backtests lie. We build engines that model realistic fills, fees, slippage and corporate actions - so the equity curve you see sits closer to what live trading would have produced. Backtests remain hypothetical and don't predict future returns.

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Free scoping call · Reply within 30 min in business hours · NDA on request

The problem

Why traders hire us for this

Backtests that don't match live results

Most backtests ignore slippage, partial fills and fees. We model them explicitly to narrow the gap between backtest and live results.

Overfit strategies

Walk-forward testing and out-of-sample validation are built in, so curve-fitted parameters get caught before they cost you.

Slow iteration

Vectorized or event-driven engines tuned for your data size - so years of tick data test quickly.

No path from backtest to live

The same strategy code runs in backtest, paper and live modes. No rewrite, no translation errors.

What you get

Event-driven or vectorized backtesting engine
Realistic fill, fee, slippage and corporate-action modeling
Walk-forward and Monte Carlo validation
Parameter optimization with overfitting guards
Performance analytics: drawdown, Sharpe, expectancy, exposure
Backtest → paper → live deployment pipeline

Code handed over in your repo NDA on request Software only - no investment advice

Start in 60 seconds

Scope your project in four taps

Answer four quick questions and send the brief straight to WhatsApp - no forms, no email chains.

Step 1 of 40%

What are you building?

FAQ

Common questions

Yes - that's how most projects start. Describe the entry, exit, sizing and filters, and we formalize it into testable rules, flag ambiguities, and run it on historical data.

We work with your data vendor or source it - tick, minute or daily bars for equities, options and crypto. Survivorship-bias-free data is recommended for equity universes.

Walk-forward splits, out-of-sample holdouts, parameter-sensitivity analysis and Monte Carlo reshuffling. A strategy that only works on one parameter set gets flagged, not shipped.

That's the design goal. Strategy logic is written once and runs identically in backtest, paper and live modes against your broker or exchange.

Ready to scope your project?

Message on WhatsApp with your idea - you'll get a straight answer on feasibility, timeline and cost, usually within 30 minutes.

Get Started Contact Us

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Software development services only. Nothing on this site is investment, trading or financial advice. No signals are sold, no accounts are managed, and no returns are guaranteed - strategy decisions and their outcomes remain entirely yours. Trading involves substantial risk of loss. Backtested and simulated results are hypothetical and do not predict future returns.