Contact person: Business Client

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Location: Valls, Spain

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I already have every entry, exit, and risk-management rule documented in full detail—I just need those rules transformed into a working StrategyQuant algo and then proven in the numbers.

What I’m looking for
• Build the strategy inside StrategyQuant exactly as specified.
• Run a solid round of optimization to surface the most robust parameter sets.
• Back-test the optimized versions and supply clear performance metrics (equity curve, drawdown, trade stats, robustness checks).

Assets on hand
I will share a complete parameter sheet and the vision behind it so you know the why as well as the what. If you have your own high-quality historical data, great; otherwise let me know and we can decide whether I provide the data or you source it.

Deliverables
1. StrategyQuant project file and compiled strategy.
2. Optimization report (settings used, best parameter sets).
3. Back-test report with all key charts and statistics.

Ideal fit
You’ve built, optimized, and validated multiple strategies in StrategyQuant, are comfortable interpreting Monte Carlo and walk-forward results, and can explain your findings clearly.

Timeline is flexible yet focused—I’d like an initial draft build and first back-test results within a week, with refinements to follow." (client-provided description)