What this service covers
Any strategy can look brilliant with the right parameters on the right dates. We run structured sweeps across your parameter space, then apply walk-forward analysis and Monte Carlo resampling to see how the edge holds up out-of-sample and under randomised trade order and slippage.
The output is a parameter surface — not a single "best" number — so you can pick a stable region rather than a fragile peak, plus the confidence intervals that tell you what drawdown to actually expect.
What you receive
- Parameter heat-maps and stability surface
- Walk-forward report (in-sample vs out-of-sample)
- Monte Carlo: expected vs worst-case drawdown, ruin probability
- Recommended parameter set with rationale
Starting at ₹3,999 per strategy · exclusive of GST
From brief to delivery
A short, predictable process. You sign off at each step.
Define the space
Which parameters, which ranges, which objective (return, Sharpe, drawdown).
Sweep
Hundreds to thousands of runs on the engine.
Stress test
Walk-forward and Monte Carlo on the candidates.
Recommend
Report with a clear pick and the risks around it.
Optimisation & Robustness Testing — questions
How many parameters can you optimise?
Typically up to 6–8 meaningfully; beyond that overfitting risk dominates and we'll say so.
What is walk-forward analysis?
Optimising on one window and testing on the next, rolled through history — the closest thing to trading the strategy live in the past.
Often combined with
Starting at
₹1,999per strategy
Strategy Backtesting Service
Know your numbers before you risk a rupee.
View detailsStarting at
₹4,999per strategy
Custom Strategy Development
Your trading idea, built into a rule-based system.
View detailsStarting at
₹2,999per script
Pine Script → Python / Tradue Conversion
Take your TradingView strategy off the chart and into production.
View detailsReady to start with Optimisation & Robustness Testing?
Send a short brief and we'll reply with a fixed quote and timeline within one business day.