Symbol-Level Backtesting
Entry-by-entry detail, segment stats, and historical context before deployment.
Quantiva Platform Module
Strategy Simulation Lab
Simulate how a basket of symbols would have behaved historically under one shared budget model before deployment.
Use one capital frame, compare multiple symbols, and review outcome, worst dip, positive rate, and factor before going live.
Simulation budget per symbol100.00 USDT
Symbols in basket0/10
Estimated scenario capital (preview)100.00 USDT
Deployment capital guidance (preview)120.00 USDT
What this lab does
- Compare a basket of symbols under one budget model
- Estimate historical outcome and worst dip
- Review basket-level consistency before deployment
- Get scenario-level capital guidance
Edge Diagnostics
Operational quality and consistency checks to validate stability.
Applied Optimization
Parameter iterations and side-by-side comparisons for stronger scenarios.
QuickFast basket estimate for a clean first pass.
AdvancedAdds deeper scenario context and live contrast.
Build your scenario
Shared simulation budget: 100 USDT per symbol to compare the basket under one frame.
Simulation budget per symbol (USDT)
This budget is used only to normalize scenario comparison.
Build symbol basket
Symbols in basket (0/10)
No symbols selected yet.
Deployment capital guidance (preview)
Estimated scenario capital (preview): 100.00 USDT (1 symbols)
Operational guidance (+20% buffer): 120.00 USDT
Final guidance depends on worst dips, basket composition, fees, and operating conditions.
Select at least one symbol to generate a real scenario readout.
Example
3 symbols x 100 USDT simulation budget
Estimated scenario capital: 300 USDT
Recommended buffer: +20%
Strategy Simulation Lab FAQ
Key questions to quickly understand how Simulation Lab is used inside the workflow.
What is Simulation Lab?
It is a basket scenario tool to evaluate historical behavior before deployment.
Is this guaranteed?
No. This is a historical scenario readout to support decision-making.
Difference vs Backtesting?
Simulation Lab compares baskets under one frame. Backtesting goes deeper into symbol-level historical detail.
Difference vs Optimize?
Simulation Lab supports basket and capital decisions. Optimize is focused on parameter exploration and tuning.
Why use a simulation budget?
It keeps symbol comparisons consistent inside the same scenario.
Why is deployment guidance different?
Because it includes worst dips, basket composition, and operating margin, not only the simulation base.
What does Advanced mode add?
It adds deeper historical scenario context plus contrast with a live account snapshot.